Community of Inquiry


The Community of Inquiry (CoI) framework, which emphasizes teaching, social, and cognitive presence, provides a comprehensive approach to designing and facilitating meaningful online learning experiences. As a facilitator, applying specific strategies for each presence is essential for fostering a dynamic and engaging educational environment.

Teaching Presence

Ensures that the instructor effectively designs, organizes, and directs the course to guide students toward achieving learning outcomes.

Expectations and Objectives: Establish clear learning objectives at the outset, including specific goals for each module or assignment. This gives students a clear roadmap and helps them stay focused on their goals. “Setting clear expectations is essential for keeping students on track and focused on their learning goals” (Vaughan et al., 2013).

Structured Content and Plans: Provide well-organized lesson plans with step-by-step instructions, multimedia resources, and practical tasks. Instructors can incorporate videos demonstrating technical skills to ensure learners know precisely what is expected.

Feedback: Regular feedback during discussions or after assessments allows students to reflect on their learning and refine their skills. This could involve giving feedback on hands-on projects or simulations to help students understand real-world applications.

Social Presence

It focuses on building a sense of community and emotional connection among learners, critical in online learning environments where physical interaction is absent.

Icebreakers and Introductions: Encourage students to introduce themselves with details about themselves, experiences, or interests to help create a welcoming environment.

Collaborative Interaction: Group projects or peer-review activities encourage students to collaborate, share perspectives, and learn from one another. “Peer review can be an effective tool for collaboration as well (Ekmekci, 2013)” (Kilgore, 2016).

Informal Spaces: Creating discussion forums or virtual spaces for non-academic conversations, such as chatting about hobbies or current events, can promote more authentic social connections.

Cognitive Presence

Refers to the learner’s ability to engage deeply with the content, develop critical thinking skills, and construct meaning through reflection and discussion.

Problem-Based Scenarios: Problem-based learning challenges students to apply theoretical knowledge in practical situations. Ex. Educators could present students with real-life issues, encouraging them to think critically and work through solutions collaboratively. “Create open-ended questions that learners can explore and apply the concepts that they are learning” (Boettcher, n.d.).

Facilitating Critical Discussions: Encourage critical thinking through thought-provoking questions, debates, and reflection exercises. For instance, asking students to evaluate different approaches to an issue can stimulate deeper analysis and application of the content.

Scaffolded Learning Activities: Organize activities that progressively build on students’ knowledge and skills, moving from simple tasks to more complex applications.

The CoI framework highlights the overlapping roles of each presence and underscores the importance of balancing them to create a cohesive learning experience. By employing these strategies, facilitators can foster an environment where students achieve their learning outcomes and feel connected and challenged, leading to a rich, immersive learning experience.


References

Boettchher, J. V. (2019). Ten Best Practices for Teaching Online – Designing for Learning. Designingforlearning.info. http://designingforlearning.info/writing/ten-best-practices-for-teaching-online/

Bull, B. (2013, June 3). Eight Roles of an Effective Online Teacher. Faculty Focus | Higher Ed Teaching & Learning. https://www.facultyfocus.com/articles/online-education/eight-roles-of-an-effective-online-teacher/

Kilgore, W. (2016). Where’s the Teacher? Defining the Role of Instructor Presence in Social Presence and Cognition in Online Education. Opentextbooks.uregina.ca. https://opentextbooks.uregina.ca/humanmooc/chapter/wheres-the-teacher-defining-the-role-of-instructor-presence-in-social-presence-and-cognition-in-online-education/

Lambert, J., & Fisher, J. (2013). Community of Inquiry Framework: Establishing Community in an Online Course. Journal of Interactive Online Learning Www.ncolr.org/Jiol, 12(1). https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=e0083107db941bd42506ea056c2f3f796b1ff5a1

Vaughan, N. D., Cleveland-Innes, M., & Garrison, D. Randy. (2013). Chapter 3: Facilitation. In Teaching in blended learning environments: Creating and sustaining communities of inquiry . In Athabasca University Press (pp. 45–61). https://read.aupress.ca/read/teaching-in-blended-learning-environments/section/43261c4a-6d4c-44cf-8c7f-60bc306eb03a

Reflection

Engaging in the design thinking process and developing my digital learning resource has been a truly eye-opening experience. One of the most surprising revelations was understanding the importance of prioritizing learner-centred design right from the start. Traditionally, our approach—like that of many in my field—often involved creating content first and then identifying the audience afterward. This method, although common, can lead to confusion and unnecessary extra work, as the content may not align with the specific needs of the learners. This is a scenario I’m currently facing at work with a new process for refreshing our users’ equipment and the breakdown of work distribution. We have run into many hurdles, gone back to the drawing board to try again, and hope it is successful.

The required readings in this course have reinforced the necessity of understanding and addressing learner needs before creating content. While this seems like common sense in hindsight, it’s something that is frequently overlooked in practice.

The feedback I received throughout this process was invaluable in providing a better structure for moving forward. Conducting interviews with potential users offered particularly insightful and descriptive feedback that played a crucial role in shaping my prototype. One suggestion that stood out was the need for even more interactive elements to maintain engagement. Although I had already planned to include gamified features like quizzes, badges, and leaderboards, the feedback highlighted the importance of continuous interaction to sustain motivation.

Another piece of feedback that warrants deeper investigation is the potential disconnect between AI’s capabilities and the complex interpersonal dynamics that human users manage so effortlessly. While AI can streamline tasks like transcription or rewriting, it still falls short in replicating the nuanced human interactions that are often essential in learning and development. I intend to explore this area further, particularly how it might affect the effectiveness of AI-driven learning tools.

As I look ahead, the next steps for my digital learning resource involve refining the prototype based on the feedback received. My goal is to integrate more interactive features and possibly explore hybrid models that combine AI with human-led initiatives to better address interpersonal dynamics. By demonstrating a potential connection between training and productivity, I hope to influence a shift towards more effective and engaging corporate training practices.

In terms of reflection channels, I’ve come to appreciate the value of reflection in the learning and design process. Personally, I find blogging to be a helpful tool for showcasing my thought process and gathering feedback from others, which aids in understanding and improvement.

Moving forward, I see the design thinking process as an invaluable tool, not only for creating digital learning resources but for tackling any instructional challenge. By keeping the learner at the center and being open to iterative feedback, I can ensure that the solutions I develop are both effective and user-friendly. This process has given me a newfound respect for the time and effort required to create meaningful digital resources and has inspired me to continue exploring innovative ways to enhance learning in the ever-evolving field of IT.


References:

Hasting, P. B. (2018). 0. Design Thinking & Doing [YouTube Video]. In YouTube- Mindful Marks. https://www.youtube.com/watch?v=bpVzgW8TUQ0

Stefaniak, J. (2019). The Utility of Design Thinking to Promote Systemic Instructional Design Practices in the Workplace. TechTrends, 64(2), 202–210. https://doi.org/10.1007/s11528-019-00453-8

Weller, M. (2020, June 26). 25 Years of Ed Tech. Https://Ebookcentral.proquest.com/Lib/Royalroads-Ebooks/Reader.action?DocID=6110556&Query=; Athabasca University Press. https://ebookcentral.proquest.com/lib/royalroads-ebooks/detail.action?docID=6110556

Critical Thoughts

AI-Driven Personalized Learning and Data Privacy

As a technical leader responsible for onboarding new hires, I’ve seen firsthand how AI-driven personalized learning has transformed our training programs. We’ve moved from uniform instruction to tailored content that significantly boosts engagement and results. Trainers now offer personal guidance instead of just delivering content, and automation has helped reduce our workload. Our organization benefits from better learner outcomes, but we must invest in robust data security to protect privacy. Platforms like 360Learning, Degreed, Moodle, and Blackboard showcase AI’s potential in education.

However, data privacy remains a significant concern. The vast amounts of data collected raise important questions about security, consent, and ethical use. How much data is collected, and how secure is it? Who owns this data, and how is it used? Are there biases in the algorithms, and how do we ensure fair access for all learners? These issues are crucial for schools, policymakers, and advocacy groups.

AI’s promise includes innovative teaching methods and wider access to education, but the risk of data breaches is high. What happens if there’s a data breach? How can we balance the benefits of AI with the need for robust privacy protections? How do we ensure AI-driven systems do not increase educational inequalities?

The benefits are clear for platforms like Coursera and Udemy, but so are the critical questions about data privacy and ethics. What data do they collect from students, and how secure is it? Are students fully informed and consenting to data use? Who owns the data, and do students control their own information? How do these platforms ensure their algorithms are unbiased, and how is student feedback incorporated? How often are privacy policies updated, and are students informed?

Looking ahead, how will Coursera and Udemy balance innovation with data privacy? What steps are being taken to enhance educational outcomes and data security? What ethical guidelines govern AI development on these platforms? These questions are crucial for ensuring that the benefits of AI-driven personalized learning do not compromise student rights and security.


References:

Al-Badi, A., Khan, A., & Eid-Alotaibi. (2022). Perceptions of Learners and Instructors towards Artificial Intelligence in Personalized Learning. Procedia Computer Science, 201, 445–451. https://doi.org/10.1016/j.procs.2022.03.058

Jones, M. L., & Regner, L. (2015). Users or Students? Privacy in University MOOCS. Science and Engineering Ethics, 22(5), 1473–1496. https://doi.org/10.1007/s11948-015-9692-7

Van der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in Education: Can AI bring the full potential of personalized learning to education? Www.econstor.eu; Calgary: International Telecommunications Society (ITS). https://www.econstor.eu/handle/10419/205222

AI Critical Reflection

Before experiencing AI-driven personalized learning, many of us probably pictured traditional classrooms where everyone gets the same instruction. We might have been skeptical about how well technology could cater to individual needs, expecting limited customization, potential lack of engagement, and wondering if technology could truly adapt to different learning styles.

AI-driven personalized learning has a big impact on students. It makes learning more engaging and effective by tailoring content and providing personalized feedback, which boosts motivation and helps learners achieve better results. For teachers, it means shifting from just delivering content to guiding and supporting students more personally. It can also reduce their workload by automating routine tasks.

Organizations see benefits too, with better learner outcomes enhancing their reputation and competitiveness. Data insights can help improve curriculum design and resource allocation, but there’s a need to invest in strong data security and privacy measures. On a larger scale, AI-driven learning offers wider access to quality education, potentially reducing educational inequalities, though it raises important ethical and privacy concerns that need regulation.

Other examples worth looking at include adaptive learning platforms like 360Learning & Degreed, and AI-powered Learning Management Systems like Moodle and Blackboard. These tools use AI to personalize content and enhance the learning experience.

Data privacy is a big concern, focusing on how much data is collected, its security, and preventing misuse or unauthorized access. We need strong encryption, access controls, and clear data handling policies. Ethical issues include who owns the data, ensuring fair access, and avoiding biases in algorithms. These concerns are shared by schools, policymakers, researchers, and advocacy groups.

AI in personalized learning presents opportunities for innovative teaching by blending AI with traditional methods and using data analytics to refine teaching strategies. It also makes education more accessible to diverse and remote populations, overcoming traditional barriers. Success stories include MOOCs like Coursera and K-12 systems using AI for personalized tutoring.

In short, AI-driven personalized learning has great potential to transform education but needs careful handling of ethical, privacy, and fairness issues. By continuing to discuss, educate, and work together, we can enhance personalized learning while keeping user data safe and private.


References:

Cavoukian, A., & Jonas, J. (2012). Privacy by Design in the Age of Big Data

https://jeffjonas.typepad.com/Privacy-by-Design-in-the-Era-of-Big-Data.pdf

Van der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in Education: Can AI bring the full potential of personalized learning to education? Www.econstor.eu; Calgary: International Telecommunications Society (ITS). https://www.econstor.eu/handle/10419/205222

Warschauer, M., & Matuchniak, T. (2010). New Technology and Digital Worlds: Analyzing Evidence of Equity in Access, Use, and Outcomes. Review of Research in Education, 34(1), 179–225. https://doi.org/10.3102/0091732×09349791

Zeide, E., & Nissenbaum, H. (2018). Learner Privacy in MOOCs and Virtual Education. Theory and Research in Education16(3), 280–307. https://doi.org/10.1177/1477878518815340

Exploring AI for Personalized Learning

By Ano Gwesu, Asha Khan, Catherine Mcfee, Radhika Arora, Tracy Tang 

Team

First Team: Anotidaishe Gwesu (Ano), Asha Khan, Catherine McFee, Radhika Arora and Tracy Tang

Topic

In the dynamic landscape of modern education, the integration of artificial intelligence (AI) has opened up exciting possibilities to revolutionize how students learn. Our journey into the realm of personalized learning has been one of exploration as we seek to understand how AI can tailor educational experiences to meet the diverse needs of learners. However, amidst the promises of enhanced learning outcomes, we have encountered significant challenges and ethical considerations that demand careful attention.


To view and read through the rest of the blog, please head over to Catherine’s Blog: Exploring AI for Personalized Learning

AI Exploration:


Personalized learning, powered by artificial intelligence (AI), has emerged as a transformative force in the realm of education, particularly within the IT environment. As someone deeply engaged with this intersection, I find myself fascinated by its potential and concerned about its implications, particularly regarding data privacy.

The start of AI in personalized learning heralds a shift from traditional one-size-fits-all education to a tailored approach that caters to individual needs and preferences. Coursera, an online platform offering many courses, has been at the forefront of this revolution. Coursera analyzes learners’ interactions with course content, assessments, and peers through sophisticated algorithms to deliver customized learning experiences. As a student, I have experienced firsthand the benefits of this approach, receiving personalized recommendations and feedback that enhance my understanding and retention of course material.

However, a pressing concern lies beneath the surface of this seemingly utopian educational landscape: data privacy. The very essence of personalized learning hinges on the collection and analysis of vast amounts of user data. Every click, keystroke, and interaction are meticulously scrutinized to tailor the learning experience. While this data-driven approach enriches learning outcomes, it also raises serious questions about the security and confidentiality of personal information.

Coursera’s classes on data privacy shed light on the intricate web of ethical and legal considerations surrounding the collection and use of user data. Effective regulatory frameworks are needed to establish clear guidelines for the responsible use of learner data in online education. (Zeide & Nissenbaum, 2018). A complex patchwork of regulations, differing around the globe, has been created to safeguard individuals’ privacy rights. As an IT enthusiast, I recognize the importance of following these regulations to uphold user trust and integrity.

In an age where data breaches and cyber-attacks are rampant, the stakes are higher than ever. Personalized learning platforms can become prime targets for malicious actors seeking to exploit vulnerabilities in their data infrastructure. A single breach could compromise the sensitive personal information of millions of users, leading to harm and faith in online education.

As I reflect on the crossroads of AI, personalized learning, and data privacy, I am reminded of the delicate balance that must be struck between innovation and protection. While AI holds immense promise for revolutionizing education, we need to remain vigilant in safeguarding the privacy and security of user data. The success of AI in education depends on effective collaboration between educators, technologists, and policymakers to ensure ethical and equitable implementation (Van der Vorst & Jelicic, 2019). This requires robust encryption protocols, stringent access controls, and transparent data handling practices.

Furthermore, we should engage in meaningful conversations about the ethical implications of AI-driven personalized learning. Who owns the data generated by learners? How can we ensure unbiased access to personalized learning opportunities for all? These are questions that need thoughtful consideration and collaborative action.

In summary, AI personalized learning holds great promise for changing education but raises critical concerns about safeguarding individuals’ data. There is much more to explore and discuss on this topic. It is crucial to continue enhancing personalized learning through ongoing dialogue, education, and collective action while prioritizing the security and privacy of user data.


References

Van der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in Education: Can AI bring the full potential of personalized learning to education? Www.econstor.eu; Calgary: International Telecommunications Society (ITS). https://www.econstor.eu/handle/10419/205222

Zeide, E., & Nissenbaum, H. (2018). Learner Privacy in MOOCs and Virtual Education. Theory and Research in Education, 16(3), 280–307. https://doi.org/10.1177/1477878518815340

Final Reflections

As I sit down to compose this final blog post, I’m drawn to reflect on the transformative journey I’ve embarked on throughout this course on leadership. Looking back at my initial post where I outlined the top 5 characteristics of admired leaders, I find myself reaffirming the importance of these traits in my current role as a leader within a team of twenty individuals. These characteristics—supportive, fair-minded, dependable, cooperative, competent,—continue to serve as guiding principles as I navigate the complexities of leading in an ever-evolving digital landscape.

In my current role, I find myself at the forefront of change within my organization, particularly within the realm of digital learning. With the unexpected upheavals brought about by the shift to remote work and hybrid models, the need for effective leadership has never been more apparent. Leveraging the toolkit created with my team in this course, I recognize the importance of change recognition, framework selection, leadership approaches, transition preparation, and process evaluation in driving successful organizational change (Poole et al., 2024).

Within my IT team, tasked with supporting educational technology initiatives, I see personalized learning experiences emerging as a central focus (T & Udhaya, 2022). As digital tools proliferate, the ability to tailor instruction to meet individual student needs becomes increasingly feasible and imperative. As a leader, championing personalized learning initiatives involves leveraging technology to differentiate instruction, provide timely feedback, and accommodate diverse learning styles. By embracing these initiatives, we can ensure equitable access to quality learning experiences for all students.

Furthermore, I’ve come to understand that effective leadership in digital learning environments extends beyond technical expertise to encompass broader leadership qualities. Drawing from personal values, experiences, and insights gleaned from relevant literature, I’ve identified five essential attributes: supportiveness, fair-mindedness, dependability, cooperation, and competence. These qualities are crucial in fostering a supportive environment, promoting fairness and equity, building trust and cohesion, fostering collaboration, and driving meaningful change in education.

As highlighted in the readings, change is not quick nor straightforward; it requires careful planning, flexibility, and adaptability(Al-Haddad & Kotnour, 2015). Organizations must realize that change affects all aspects, including strategy, internal structure, processes, jobs, attitudes, and culture (Sheninger, 2022). By embracing the principles of digital leadership and drawing from diverse perspectives, leaders can navigate the complexities of the digital era with confidence and purpose.

In conclusion, I’m grateful for the insights gained from this course, which have deepened my understanding of leadership in digital learning environments. As I look towards the future, I envision myself continuing to lead change within my organization, championing personalized learning initiatives, and embodying the essential attributes of an effective leader. As Workman and Cleveland-Innes (2012, p. 319) state, “management affects outcomes for efforts, while leadership affects outcomes for people.”  By embracing change, fostering collaboration, and prioritizing the needs of students and educators, I’m confident that we can navigate the complexities of the digital era and ensure a brighter future for education.


References

Al-Haddad, S., & Kotnour, T. (2015). Integrating the organizational change literature: A model for successful change. Journal of Organizational Change Management, 28(2), 234–262. https://doi.org/10.1108/JOCM-11-2013-0215

Knoloskape. (2013). Introduction to Project Management [YouTube Video]. In YouTube. https://www.youtube.com/watch?v=BOU1YP5NZVA

Poole, M., Arora, R., & Tand, T. (2024, March 10). Virtual Training Toolkit. MALAT. https://new.express.adobe.com/webpage/J4HSfsL80YGxe

Sheninger, E. (2022, August 31). 7 Pillars of Digital Leadership. Www.hmhco.com. https://www.hmhco.com/blog/pillars-of-digital-leadership-in-education

T, S., & Udhaya, Rekha. R. (2022). Virtual Training Impact On Corporate Learning – ProQuest. International Management Review, 18(1), 42–50, 119–119. https://www.proquest.com/scholarly-journals/virtual-training-impact-on-corporate-learning/docview/2894466510/se-2

Workman, T., & Cleveland-Innes, M. (2012). Leadership, personal transformation, and management. The International Review of Research in Open and Distributed Learning, 13(4), 313. https://doi.org/10.19173/irrodl.v13i4.1383

Team- Toolkit for planning virtual training

Our group had the opportunity to come together to work on a toolkit to guide an aspect of a preparing for a digital learning initiative.

In thinking of a persona who would benefit from this toolkit, we thought of someone working in an organizational development role as a trainer, consultant, or leader, who is considering a change.

We welcome your thoughts on our resource, especially if you think you could use this in your work.

Matt, Radhika, Tracy

Leading Projects

In project management, the success of an endeavor often hinges on meticulous planning, effective communication, and adept handling of both technical and human elements. Reflecting on a recent project involving the implementation of new laptops for users accustomed to shared devices, it becomes apparent that the interplay between change management principles and technical requirements is paramount for seamless execution.

  1. The problem at hand was twofold: transitioning users from shared devices to individual laptops and ensuring uninterrupted workflow, considering the 24-hour shift work schedule. The overall goal was to enhance productivity and user satisfaction by providing personalized devices. Stakeholders included end-users, IT personnel, department heads, and upper management. A project plan was indeed put in place, but in hindsight, improvements could have been made. Dividing the swap timeline over 24-hour shifts across five days was effective, but a longer overall swap timeline and department-specific testing could have yielded even better outcomes.
  2. Barriers to the project likely included resistance to change, potential disruptions to workflow during the transition, and ensuring compatibility of software and user preferences on the new devices. Overcoming these barriers requires a combination of change management strategies, such as effective communication, stakeholder engagement, and providing adequate training and support. Additionally, conducting thorough testing and piloting with department-specific software configurations could preemptively address compatibility issues.
  3. In practice, I envision employing a blend of traditional project management methodologies such as PMBOK and ADDIE, along with principles from design thinking. This approach would entail a structured yet flexible project management framework, prioritizing user-centric design, iterative development, and continuous stakeholder engagement. By integrating these methods, I aim to foster innovation, adaptability, and stakeholder satisfaction in future projects.

In conclusion, project success often necessitates a delicate balance between technical proficiency and human-centric approaches. By carefully considering stakeholders’ needs, leveraging change management strategies, and embracing iterative design principles, project managers can navigate challenges effectively and drive meaningful outcomes.


References:

Calvert, D. (2015, May 1). A Leader’s Guide to Data Analytics. Insight.kellogg.northwestern.edu. https://insight.kellogg.northwestern.edu/article/a-leaders-guide-to-data-analytics/

Knoloskape. (2013). Introduction to Project Management [YouTube Video]. In YouTube. https://www.youtube.com/watch?v=BOU1YP5NZVA

University of Calgary. (2014). Strategic Framework for Learning Technologies Report of the Learning Technologies Task Force. https://www.ucalgary.ca/provost/sites/default/files/teams/1/final_lttf_report_gfc_june_2014.pdf

Watt, A. (2014). Project Management. In Opentextbc.ca (2nd ed.). BCcampus. https://opentextbc.ca/projectmanagement

External Scan

In today’s ever-evolving landscape, organizational change has become a constant, demanding leader to navigate complexities with insight and efficacy. Reflecting on recent experiences and drawing from established change models and theories, it is evident that effective leadership is pivotal in steering transformative initiatives toward success. Through the lens of four key elements – Vision, Collaboration, Adapting, and Professional Development – and insights gleaned from both scholarly discourse and practical experiences, we can outline a holistic approach to change leadership that aligns with established models and theories. Learning about change management and its different models was eye-opening. Both changes discussed require a lot of planning, flexibility, and having a clear vision (Al-Haddad & Kotnour, 2015).

Vision serves as the cornerstone of effective leadership in change management. Leaders must articulate a clear direction, inspiring others with a compelling vision that delineates the path toward organizational transformation.

Collaboration emerges as another critical facet of effective change leadership. Engaging stakeholders at every level fosters ownership and reduces resistance, facilitating smoother transitions amidst organizational upheaval. In a discussion with my colleague about an ongoing project we have been facing in our recent endeavour to introduce new laptops into our shared environment, foresight and strategic planning were imperative. Discussions with the executives and management underscored the necessity of visionary leadership in garnering support and driving change forward. In our project, coordination with leadership and colleagues to navigate tight timelines and software issues exemplified the power of collaborative efforts in overcoming challenges and ensuring project success.

Adaptation, as the adage goes, is the key to survival. Leaders must exhibit flexibility and responsiveness to evolving needs, adapting strategies to suit shifting contexts and circumstances. Our decision to prioritize stability over speed in addressing software issues reflects this adaptive mindset, safeguarding against disruptions and ensuring seamless transitions for colleagues. Organizational readiness / adapting to change involves multiple levels and aspects. It depends on the members’ commitment to change (change commitment) and their belief in their ability to make it happen together (change efficacy). This varies depending on how much the members value the change and how positively they assess three main factors: the tasks required, the resources available, and the situational factors (Weiner, 2009).

Lastly, Professional Development emerges as a catalyst for effective change leadership. Investing in educator skills and resources empowers individuals to navigate digital integration with confidence and proficiency. By emphasizing the importance of addressing knowledge and ability gaps during change implementation, our commitment to professional development highlights a proactive approach to equipping users for success in an ever-evolving landscape.

Our ability to come together as a team, adapt to unexpected challenges, and find creative solutions along the way exemplifies the transformative power of collaborative efforts guided by visionary leadership. As we look toward future endeavours, the lessons learned from this experience will undoubtedly inform our approach, enabling us to navigate change with resilience and foresight. In conclusion, effective change leadership hinges on a multifaceted approach that integrates vision, collaboration, adaptation, and professional development. By aligning with established change models and theories, leaders can confidently navigate complexities, driving positive change and innovation within their organizations.


References

Al-Haddad, S., & Kotnour, T. (2015). Integrating the organizational change literature: A model for successful change. Journal of Organizational Change Management, 28(2), 234–262. https://doi.org/10.1108/JOCM-11-2013-0215

Khan, N. (2017). Adaptive or Transactional Leadership in Current Higher Education: A Brief Comparison. The International Review of Research in Open and Distributed Learning, 18(3). https://doi.org/10.19173/irrodl.v18i3.3294

Weiner, B. J. (2009). A theory of organizational readiness for change. Implementation Science, 4(1). https://doi.org/10.1186/1748-5908-4-67

Leadership Reflections -Blog 1

In the ever-evolving realm of digital learning, the role of a leader is pivotal, especially within an IT team tasked with supporting educational technology initiatives. As technology becomes increasingly integrated into education, the responsibilities of IT leaders extend beyond technical expertise to encompass broader leadership qualities. Drawing from personal values, experiences, and insights gleaned from relevant literature, I assert that effective leadership in digital learning environments necessitates five essential attributes: Supportiveness, Fair-mindedness, Dependability, Cooperation, and Competence.

Supportiveness serves as the cornerstone of effective leadership within an IT team supporting digital learning endeavors. A leader who fosters a supportive environment empowers team members to explore innovative solutions, facilitating the seamless integration of technology into educational practices. In an era where technological advancements outpace traditional methodologies, a supportive leader serves as a beacon, providing encouragement and resources to navigate the digital landscape.

Fair-mindedness is equally indispensable within the context of digital learning. It extends beyond ensuring equitable access to technology to encompass fair assessment practices, unbiased decision-making, and the cultivation of an inclusive environment where diverse perspectives are valued. A fair-minded leader ensures that opportunities for growth and success are accessible to all team members, irrespective of their background or circumstances.

Dependability is paramount in a digital learning environment where reliability is essential. IT leaders must exhibit consistency in their actions, responsiveness to challenges, and accountability for decisions. By instilling confidence in their team and stakeholders, dependable leaders foster trust and cohesion within the organization. In an ever-evolving digital landscape, dependability provides a stable foundation for growth and adaptation.

Cooperation emerges as a critical attribute for navigating the complexities inherent in digital learning environments. IT leaders must collaborate with educators, students, administrators, and external stakeholders to leverage technology effectively. By fostering a culture of cooperation, leaders facilitate the pooling of collective expertise and resources to address challenges and seize opportunities for innovation. In a digitally interconnected world, cooperation ensures synergy, propelling progress.

Competence completes the quintessential attributes of a digital learning leader within an IT team. Beyond technical proficiency, competence encompasses a profound understanding of pedagogy, curriculum design, data analysis, and educational trends. A competent leader remains abreast of emerging technologies and research, guiding the integration of digital tools to enhance teaching and learning outcomes. Competence inspires confidence and serves as a catalyst for meaningful transformation in education.

Reflecting on Shenigner’s (2019) insights, being a “digital” leader transcends mere technological proficiency; it demands a holistic approach that embraces change, fosters collaboration, and prioritizes innovation. Digital leadership entails establishing direction, influencing others, and spearheading sustainable change in the digital era.

In my team’s context, personalized learning experiences emerge as a salient technological concept warranting attention. As digital tools proliferate, tailoring instruction to meet individual student needs becomes both feasible and imperative. As an IT leader, championing personalized learning initiatives involves leveraging technology to differentiate instruction, provide timely feedback, and accommodate diverse learning styles.

Considering alternative perspectives offered in the readings enriches my understanding of leadership, unveiling its multifaceted nature across various contexts and viewpoints. Each perspective illuminates different facets of leadership, from inspiration and vision to shared responsibility and collaboration.

In conclusion, leadership in digital learning environments demands a blend of supportiveness, fairness, dependability, cooperation, and competence. As technology continues to reshape education, leaders must embody these attributes to drive meaningful change and ensure equitable access to quality learning experiences (Workman & Cleveland-Innes, 2012). By embracing the principles of digital leadership and drawing from diverse perspectives, leaders can navigate the complexities of the digital era with confidence and purpose.


References:

Sheninger, E. (2022, August 31). 7 Pillars of Digital Leadership. Www.hmhco.com. https://www.hmhco.com/blog/pillars-of-digital-leadership-in-education

Workman, T., & Cleveland-Innes, M. (2012). Leadership, personal transformation, and management. The International Review of Research in Open and Distributed Learning, 13(4), 313. https://doi.org/10.19173/irrodl.v13i4.1383

Crafting Better Learning: Design Thinking

As we finish up LRNT524 Innovation, Design, and Learning Environments, it is time to think about the design principles that shape my learning. This course pushed me to develop principles that suit my work in an IT setting.

There needs to be more clarity between what employers think employees should learn and what employees find valuable. How training or learning is shared often varies from how people like to learn or access information. Challenges include not offering flexible formats like asynchronous or hybrid options and not considering diverse experience levels, abilities, locations, and individual learning needs.

Reflecting on my learning within this course and after the partnered Pecha Kucha Assignment, I considered a middle ground of learning principles that would work on blending what is vital for the learner and what the organization sees as priorities. 

One of the articles I came across in my readings that helped me consider the design principles I think are relevant is ‘The Power of Course Design to Increase Student Engagement and Learning’ by L. Dee Fink; the focus is on how designing courses thoughtfully can significantly boost how much students learn and how engaged they are in their studies.

Here is the relevant design principle that fosters a good learning environment that engages learners and supports their individual needs.

If an image is unable to be seen or accessed, please use the provided link to view it in Canva: 8 Design Principles.

By following these ideas, instructors can make courses that teach facts and help you get better at essential skills. This means you will be more interested and do better in your learning. As we wrap up LRNT524, it is clear that thinking about these principles can make learning more fun and valuable. This learning journey has shown me that these ideas will keep guiding how I learn in the future.


References

Brignell, B. (2021). Design Principles. Design Principles. https://principles.design/#what-are-design-principles

Cable, S. (2015, June 18). Design Principles – a guide. Cxpartners. https://www.cxpartners.co.uk/our-thinking/design-principles/

Fink, L. D. (2007). The Power of Course Design to Increase Student Engagement and Learning. Peer Review, 9(1), 13–17. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=3722e12f-1cd8-4154-b13a-35f5963f4213%40redis

Hsu, T.-C., Chen, W.-L., & Hwang, G.-J. (2020). Impacts of interactions between peer assessment and learning styles on students’ mobile learning achievements and motivations in vocational design certification courses. Interactive Learning Environments, 31(3), 1–13. https://doi.org/10.1080/10494820.2020.1833351

Kelly, S. (2020, August 7). Introduction to Universal Design for Learning (UDL) – Arts & Letters Academic Technology Support. Michigan State University. https://edtech.cal.msu.edu/introduction-to-universal-design-for-learning-udl/

Impact of innovation on learning & learners- Blog

In the world of education, things are always changing, and new ideas are constantly popping up. In this blog post, we delve into the realm of gamification, a pedagogical innovation that integrates game elements into non-game contexts to transform the learning experience. Looking into what this idea is all about, using insights from a book called “Gamification: A Simple Introduction” by Andrzej Marczewski. We explore the critical aspects of this approach, including innovation, impact on learning, reliance on technology, usability, risk assessment, and its unique value proposition.

Innovation: Gamification

Gamification introduces a shift from traditional education by incorporating game-design elements such as points, badges, leaderboards, and narratives. The goal is to turn traditional learning activities into interactive, game-like experiences, fostering increased engagement, motivation, and enjoyment among learners.

Impact on Learning

The integration of gamification into education has proven to impact learning outcomes profoundly. By using fundamental motivators like competition, achievement, and progress, gamification stimulates active participation and cultivates a deeper level of engagement. This heightened engagement often translates to improved knowledge retention and a more positive attitude toward learning, as Lavoue et al. (2019) highlighted.

Reliance on Technology

Gamification can be implemented through both digital platforms and analog methods. While technology can enhance the gamified experience, it is not a firm requirement. Digital platforms, however, offer scalability and data-driven insights into learner progress, requiring access to correct technological resources.

Usability

The effectiveness of gamification in education hinges on the design of gamified foundations. Natural game mechanics and seamless integration into the curriculum are essential for its success. Educators must understand how to apply gamified elements to align with learning objectives without distracting from the core content.

Assessing Risks

The introduction of gamification brings along certain risks, such as the potential overemphasis on rewards that might overshadow the value of learning. Not all learners respond positively to gamified elements, leading to disinterest.

Value Proposition

The value proposition of gamification lies in its ability to tap into learners’ natural liking towards games and competition. It offers a fresh and enjoyable approach to learning, fostering a sense of achievement. However, successful implementation requires a balance between game elements and educational objectives, as highlighted by Marczewski in 2013.

In conclusion, While it is great for getting us interested and motivated, we need to be careful with how we use it. The impact on engagement should be balanced with a sharp evaluation of usability, potential risks, and alignment with predetermined learning objectives. As educators continue to refine the implementation of gamification, the prospect exists of transforming the influence on conventional educational approaches and allowing education to become more immersive, enjoyable, and, ultimately, more worthwhile.


References

Barzilai, S., & Blau, I. (2014). Scaffolding game-based learning impacts learning achievements, perceived learning, and game experiences. Computers & Education70, 65–79. https://doi.org/10.1016/j.compedu.2013.08.003

Lavoue, E., Monterrat, B., Desmarais, M., & George, S. (2019). Adaptive Gamification for Learning Environments. IEEE Transactions on Learning Technologies12(1), 16–28. https://doi.org/10.1109/tlt.2018.2823710

Marczewski, A. (2013). Gamification: A Simple Introduction. In Google Books. Andrzej Marczewski. https://books.google.ca/books?hl=en&lr=&id=IOu9kPjlndYC&oi=fnd&pg=PA3&dq=gamification&ots=kKIrZNlNWY&sig=7dQ5tVCLbtR4MFbcpVq62NT8Y3s&redir_esc=y#v=onepage&q=gamification&f=false

Design Models: A Reflective Journey

https://www.rawpixel.com/image/6467909/png-sticker-public-domain

Throughout the reading within this program, I have seen a pattern of design model framework acting as a blueprint to bridge the models from theoretical concepts to real-world applications.

Among these models, the ADDIE framework is the most popular as a structured instructional design approach. As mentioned in Instructional Design Models by Tonia A. Dousay, “The ADDIE paradigm is fundamental to most models, with appropriate evaluation of each step implied. [Jon Anderle, University of Wyoming]”

It navigates Analysis, Design, Development, Implementation, and Evaluation—a comprehensive pathway to ensure effective learning programs. Each phase, from identifying the needs to evaluating outcomes, contributes to well-designed, adaptable learning solutions.

Diversity defines design models. From Design Thinking to the precision of the Waterfall model, each offers unique viewpoints and methods. Choosing the suitable model is akin to picking the perfect tool, so one must understand its complexities before application.

Selecting a model goes beyond apparent application and is about aligning strengths with project needs. Agile methods excel in adaptability, while the Waterfall model ensures control and predictability; the crux lies in understanding the underlying principles.

Using a combination of diverse theories and practices approach is an excellent way to ensure the models you are using will be successful when moving from theoretical to real-world

No single model is an answer; adaptability and innovation define success.

I look forward to understanding more in our reading about the fields of instructional design (ID) and learning design (LD) and the models and hopefully get a better understanding of what I personally find the best model for my way of taking a theoretical concept and creating it into a real-world application. Is there a pattern that works for me? Do I pick and choose for every theoretical concept I face?

It is a journey of discovery toward finding the perfect match for design models.

References

Dousay, T. A. (2018). Instructional Design Models. In edtechbooks.org. EdTech Books. https://edtechbooks.org/lidtfoundations/instructional_design_models

Lina Heaster-Ekholm, K. (2020). Popular instructional design models: Their theoretical roots and cultural considerations. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 16(3), 50–65. https://files.eric.ed.gov/fulltext/EJ1275582.pdf

Parchoma, G., Koole, M., Morrison, D., Nelson, D., & Dreaver-Charles, K. (2019). Designing for learning in the Yellow House: a comparison of instructional and learning design origins and practices. Higher Education Research & Development, 39(5), 997–1012. https://doi.org/10.1080/07294360.2019.1704693

Tools, Tech & Learning: The Impact of Technology Debate

by: Radhika Arora & Lara Higgins

Spurred on by the COVID-19 pandemic, the world has seen an abrupt shift towards digital adoption, with an abundance of Edtech startups racing to design the most impactful EdTech learning tool. The great media debate between Richard Clark and Robert Kozma is perhaps more relevant today than it was when it began in 1993, with Robert Clark stating that media “are mere vehicles that deliver instruction but do not influence students achievement any more than the truck that delivers our groceries causing changes in nutrition” (Clark, 1983, p. 445). Kozma’s rebuttal was presented in his 1994 article “Will Media Influence Learning: Reframing the Debate,” where he argued that media in itself does not possess magical qualities and better learning in education.  He proposed shifting the focus onto the design and implementation of these tools, integrating them into evidence-based models of design to improve education and training. Clark and Kozma’s valuable theoretical and practical perspectives are interesting lenses through which to view current-day innovations in EdTech.

In the article ” Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions” by Valentin Kuleto, Milena Ilić, Mihail Dumangiu, Marko Ranković, Oliva M. D. Martins, Dan Păun, and Larisa Mihoreanu, the authors dive into how artificial intelligence (AI) and machine learning (ML) are making a significant impact on colleges and universities. They examine the benefits and opportunities of practical applications of AI and ML within higher education institutions. This includes the deployment of AI-driven chatbots to provide real-time support to students, utilizing AI-based analytics to gain insights into student performance patterns, behaviours, and engagement, and implementing ML algorithms to personalize learning materials and enhance teaching and learning experiences.

They also investigate the challenges associated with implementing AI and ML, issues related to data privacy, algorithm bias, the need for faculty training, and potential job displacement. Kuleto et al. also consider the ethical issues with implementing AI and ML, such as the responsible use of student data, addressing algorithmic biases that might disadvantage certain groups of students, and ensuring transparency in decision-making processes. This study shows that AI can make a big positive change in how students learn in college. It says that colleges and tech companies should be open to trying new things to stay competitive and meet students’ changing needs. Kuleto et al. also recommend more research to find practical ways to use AI in education, especially in countries with fewer resources.

With how rapidly technology changes, Clark might have acknowledged that the emerging trends offer intriguing possibilities for personalized and adaptive learning experiences. There would still need to be more careful considerations to ensure that these tools are thoughtfully integrated into pedagogical practices rather than relying solely on their technological allure. There is a need for a balanced approach. While AI and machine learning hold great promise, they are not a magical solution to all educational challenges. The effectiveness of these technologies must depend on how they are designed, implemented, and integrated into pedagogical practices.

Kozma sought to reevaluate the discussion around the influence of media on learning. The focus should not only be on whether the media has influenced learning but rather on effectively integrating it into the education process. It is crucial to align technological advancements with pedagogical goals. Media and technology should be seen as tools that educators can leverage to enhance learning outcomes. For AI and machine learning, this means thoughtful integration into instructional design. The article by Kuleto et al. contributes to this ongoing conversation; we need to consider the need to harness the potential of AI and ML while focusing on effective instructional design and realistic access for all learners.

Another interesting evolution in EdTech is the emergence of fully online distance education in K-12, along with the use of virtual reality (VR) as a medium for content delivery.   In his recent September 19, 2023 article and podcast episode for EdSurge, “Will Virtual Reality Lead More Families to Opt-Out of Traditional Public Schools,” Jeffrey R. Young introduces the Optima Academy Online, founded in 2022 in Florida by Erika Donalds. What’s unique and arguably radical about this charter school is that it’s touted as the world’s first fully online virtual school. Children in grades 3 to 8 spend 30 to 40-minute intervals experiencing VR lessons, with breaks in between for online peer connections, body movements or snacks.  Morning lessons delivered through VR headsets are followed by independent coursework in the afternoons, with the option to connect virtually to teachers, tutors or peers.  According to Erika Donalds, the school was established largely in response to COVID-19, and to the growing school-choice-movement.  According to Donalds, the traditional in-person, bricks-and-mortar models can’t respond fast enough to a growing demand for education, choice in delivery model, or individual student learning needs. Surely, Clark and Kozma couldn’t have imagined that educational technology would develop at such an alarming rate and in such innovative ways. Clark would most likely have arguments to share around replaceability, accessibility and the separation of method and medium in research methodology, while Kozma would argue for a greater focus on learning design and research into the learning impacts of digital mediums while calling for a paradigm shift in research methodology that guides educational research.  

At the core of Clark’s argument is the concept of replaceability.  He states that if the results of a learning outcome can be replicated using a single or combination of other mediums, regardless of the digital or analogue tools used to support the learning, then the cause can not be attributed back to one single learning tool. It is the instructional content and method that is embedded in the medium that influences the learning, rather than the medium itself (Clark, 1984, p. 1). As a result, it could be that Clark’s response to the emergence of a distance learning school leveraging virtual reality as the main medium for curriculum delivery is more about the flexible delivery or novelty of the new medium than scientific proof that the design model produces better learning outcomes for the learners than traditional or other digital mediums (Clark, 1984, p.4). Further to this point, he would argue that in an environment of competing complex social, economic and environmental problems and limited resources to solve them,  it is our responsibility to choose methods that are most cost-effective (Clark, 1994, p. 5). A new fully online school that leverages VR for the delivery of elementary school curriculum along with the traction that the school-choice-movement is gaining, supports Kozma’s call for new models of learning design and greater research and focus on media theory. With the proliferation of digital tools and environments in education along with the increased need to develop digital literacy, there is indeed an urgency to generate scientific data to inform choices moving forward (Kozma, 1994, p.7).

Contrary to Kozma’s position that EdTech is a design science and not a natural science, there is a need to understand the effect that digital technologies have on the health and wellness of children and adult learners.  This is supported by Stanford VR researcher Jeremy Bailenson’s concerns around the still unknown cognitive effects of long-term VR use with children in K to 12 over weeks, months and years (Bailenson, as cited in Young, 2023, para 14). His VR lab has implemented a 30-minute maximum for VR sessions with adults, finding that use can result in some users suffering from headaches, nausea and even reality blurring, which is the difficulty differentiating between reality and VR simulation (Bailenson, as cited in Young, 2023, para 15). This need to gain a better understanding of the impact that technology has on our well-being could lend support to Clark’s notion of separating method and medium in research, as opposed to Kozma’s stance on their integration. 

Regardless of what side of the Clark versus Kozma debate you fall on, hopefully, we can all agree on the need for technology-enhanced pedagogies and andragogies that contribute to the development of digital literacy skills to support learner success in the digital age. In addition, the debate emphasizes the need for technology to enhance, not replace effective teaching and learning. Kozma’s concluding statement seems to ring true as we find ourselves in post-pandemic enlightenment, “In what ways can we use the capabilities of media to influence learning for particular students, tasks, and situations?” (Kozma, 1994, p. 19). As education continues to evolve, this topic reminds us that it is a broader conversation on understanding that technologies such as AI, ML and VR serve as digital tools and environments to amplify educational outcomes and help to address the issue of equality.

References

Clark, R. E. (1983). Reconsidering Research on Learning from Media. Review of Educational Research, 53(4), 445–459. https://doi.org/10.3102/00346543053004445

Clark, R. E. (1994). Media will never influence learning. Educational Technology Research and Development VO, 42(2), 21. doi.org/10.1007/BF02299088

Kozma, R. B. (1994).Will media influence learning: Reframing the debate. Educational Technology Research and Development, 42(2), 7-19.

Kuleto, Valentin, et al. “Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions.” Sustainability, vol. 13, no. 18, 18 Sept. 2021, p. 10424, https://doi.org/10.3390/su131810424.Young, Jeff.R. “Will Virtual Reality Lead More Families to Opt out of Traditional Public Schools? – EdSurge News.” EdSurge, 19 Sept. 2023, www.edsurge.com/news/2023-09-19-will-virtual-reality-lead-more-families-to-opt-out-of-traditional-public-schools.

Jane McGonigal – People in the Field

Jane McGonigal is a renowned game designer and accomplished author, holding a Ph.D. in Performance Studies. With a Ph.D. in Performance Studies, she currently holds the Director of Game Research and Development position at the non-profit organization Institute for the Future. She is a leading advocate for gamification, applying game design principles and mechanics to non-game contexts, such as education and workplace settings. One of her notable projects is “SuperBetter,” designed to help individuals build resilience, recover from challenges, and achieve personal goals.

McGonigal is also renowned for her captivating TED talks, with “Gaming can make a better world” being an interesting watch. In this talk, she poses intriguing questions about the transformative power of games: “What about games makes it impossible to feel that we can’t achieve everything? How can we take those feelings from games and apply them to real-world work?” (TED, 2010). Jane has many inspiring achievements, and her most influential book, “Reality Is Broken: Why Games Make Us Better and How They Can Change the World,” explores the positive impact of games on individuals and society. It delves into game engagement psychology and how games can be applied to real-world challenges.

I chose Jane because her focus on using games for education is vital in today’s digital age. With both simple mobile games and complex virtual worlds, her advocacy for gaming as a learning tool is highly relevant. It is vital for the new generation of learners, referred to as “iPad kids,” who can significantly benefit from the educational potential of modern games.

You can explore more about Jane on her website: You Found Me

References

McGonigal, Jane. Reality Is Broken: Why Games Make Us Better and How They Can Change the World. Google Books, Penguin, 20 Jan. 2011, books.google.ca/books?id=yiOtN_kDJZgC&lpg=PT10&ots=fkniQP6XTt&dq=jane%20mcgonigal&lr&pg=PT30#v=onepage&q=jane%20mcgonigal&f=false. Accessed 18 Sept. 2023.

—. “You Found Me.” You Found Me., you found me., 2018, janemcgonigal.com/.

“Social-Emotional Learning, Mental Health & Resilience Training.” Superbetter.com, SuperBetter, LLC, superbetter.com/. Accessed 16 Sept. 2023.

TED. “Gaming Can Make a Better World | Jane McGonigal.” www.youtube.com, Youtube, 17 Mar. 2010, www.youtube.com/watch?v=dE1DuBesGYM&ab_channel=TED. Accessed 1 Nov. 2022.

Activity 3 | What makes a good research question?

There are many things to consider when considering what makes a good research question. A good research question is fundamental for leading meaningful and effective research. Here are 2 key patterns that I have seen when it comes to the characteristics of a good research question:

Be clear and focused: A good research question should be clear and concise, focusing on a specific subject, statement, or problem within the broader area. It should avoid being too general or too limited, ensuring that the research remains manageable and attainable (Bell, n.d.).

Reference

Bell, T. (n.d.-b). LibGuides: Developing your essay: 2. What focus will you take in the work? Libguides.royalroads.ca. Retrieved July 1, 2023, from https://libguides.royalroads.ca/developing_essay/focus

The Pros & Cons of Digital vs. Paper Note Taking & Reading

By Christopher Ross, Radhika Arora, & Tracy Tang

The tools we use can have a significant impact on our success. In the era of technology, academia now heavily involves the use of electronics to teach and share information. As we learned in the course debate, Digital Learning Environments are varied and can differ from one another.

With academia’s taking advantage of digital options and allowing students to be able to access resources more freely, there is concern that digital learning will have the consequence of newer generations losing skills to read and write without technical assistance and support.

 An example of newer generational loss in seen in some countries is the ability to write cursive. Students are now being taught how to type on the keyboards. In this post, we’ll examine the positive and negative nature of traditional paper and digital use for note-taking and reading as it applies to educational environments.

Digital Note Taking

Digital note-taking is the practice of taking notes with digital tools which can include a variety of technologies such as audio, video, photography, text, data visualization, and illustration with the assistance of electronic devices.

Benefits of Digital Note Taking

Collaboration 

A key benefit of digital note-taking is the ability to share information quickly between students and adapt the information immediately for those with and without learning disabilities. “Use of digital note-taking tools may allow students with learning disabilities to better use working memory, visuals, and auditory learning capacities to complement information processing during lectures and review.” (Belson et al, 2013 p.13) 

Security

The ability to store digital notes electronically and collaborate with others also leads to the ability to assemble documents online and have a backup of those materials to fall back on. This can take the form of multiple copies but also multiple different versions which enables learners to branch off into alternate avenues with the knowledge they can return to earlier work.

Efficiency

Data entry with digital note-taking is often faster and allows for easier input compared to traditional pen-and-paper approaches. While it’s impossible to predict individual learners, “the average American can type 40 words per minute but can only handwrite 13 words per minute.” (Robare, 2021).

Other Benefits of Digital: Reading & Writing 

  • Able to customize device settings – Font, size, color, and brightness (light or dark screens) 
  • Clear and organized writing – easy to read through
  • Automatic corrections of spelling, grammar, & syntax
  • Swiftness of predicted text completion
  • Linking of other documents, websites, graphics, diagrams, and tables or videos
  • Ease of duplication of text, images, and documents
  • Timesaving in editing & alleviate the stress of locating words or phrases
  • Able to hold a large amount of data and information in one space
  • Easier to move, organize and sort notes
  • Eco-friendly

Disadvantages of Digital Note Taking

Accessibility in Learning

With digital note-taking, the limits of screen size add an extra dimension of complexity for students with visual impairment or learning impairments. The simple act of redistributing notes in a meaningful way for people on the autistic spectrum, or similar non-traditional processes can become cumbersome and challenging within a locked visual environment. As the authors discuss in the article Developing a Holistic Approach for E-Learning Accessibility, “there is a need for a more sophisticated model for addressing e-learning accessibility which takes into account the usability of e-learning, pedagogic issues and student learning styles in addition to technical and resource issues.” (Phipps and Swift, 2004)

 Understanding of Digital Technology 

With the rapid change of digital technology, there is a need to offer training support for less technologically focussed individuals including older adults.

“Rogers and colleagues found that older adults were less likely to use automatic teller machines (ATMs) than younger adults. However, the majority of the older people in their sample indicated they would be willing to use ATMs if trained to do so.” (1996)

Digital Equity

Requiring and mandating students to use digital devices for coursework can present issues with access and equity. From social class to a simple lack of access due to geography or reliability, dependency on technology by its nature can lead to inequity in a digital space.

 “No matter how powerful in educational terms a particular medium or technology may be, if students cannot access it in a convenient and affordable manner they cannot learn from it” (Bates, 2019).

 “[Shirley] Malcom points out that lowered cost and greater physical access to computers will not by themselves be sufficient to improve the lot of disadvantaged students.” (Nickerson, R. S., & Zodhiates, P. P, 2013)

Other Disadvantages of Digital: Reading & Writing 

  • System and software can differ per user changing the look of notes and text
  • Not always straightforward to use
  • In a collaborative space not easy to distinguish who wrote, changed, or edited documents 
  • Unless publicly shared there can be access and permission issues
  • Eye strain and fatigue
  • Distracting – Ads, banners, pop-ups, graphics, and design flaws in certain websites
  • Plagiarism and copyright issues
  • Can be expensive, fragile and has a limited lifespan
  • Concern about access to internet, electricity, and battery life
  • Impersonal & formal
  • Locked to the display screen of the electronic devices
  • Not easy to spread multiple documents, pages, text, and seamlessly move through them

Written Notes

Written note-taking is an important skill for everyone to master, it can include written text as well as illustrations and drawings by hand.

Advantages of Written Notes

The Encoding Hypothesis

“The encoding hypothesis suggests that the processing that occurs during the act of note-taking improves learning and retention.” (Mueller and Oppenheimer, 2014, p.1159) essentially theorizing that the acts of listening, processing, and summarizing during the moment of learning add benefit in the retention of knowledge.

Learning Style Freedom

Unlike the nature of digital note-taking, written notes allow for learners of different styles to quickly access shortcuts they’ve developed over a lifetime. Shortcuts such as indents, symbols, choices of inks or formatting codes that are known only to themselves. These shortcuts allow individual learners to manage information both within a single note and on a larger scale by organizing notes into formats that can’t easily be replicated within a digital environment.

For example, the placement of coloured sticky notes or highlights on text to amplify meaning or organizing large collections of notes in a graphical manner with circles of knowledge spread across a tabletop.

Simplicity

Whatever benefits students can gain from building digital skills does not translate equitably across all students due to reasons of economic, cultural, and social status. One distinct advantage of written notes is their simplicity which is often overlooked in our desire to over-emphasize the power of digital skills.

 “One challenge is that approaches to digital skills overemphasize the role of basic operational skills (e.g., how to install apps or use Internet browsers) despite indications that it is a combination of skills, including the social and creative (e.g., sense of self-efficacy in using social networks, capacity to create digital content) that generate positive tangible outcomes (Helsper et al., 2015).”

Flexibility for Learners

Learners should be encouraged to build literacy and critical thinking about the different information and communication technologies available. Then they can decide to choose/use/adapt the tools that support the way they learn best. 

 “I decide whether to adopt new devices and software/apps/services based on their value to me.” Beetham, H. (2015, Nov 10)

Other Advantages of Paper: Reading & Writing  

  • Handwriting is more expressive of a person’s emotions, and personality and is unique to the individual
  • Inexpensive & disposable
  • Tangible and portable
  • Easier to mark up, highlight, draw & doodle
  • Greater freedom to write anytime and anywhere
  • Larger real estate to spread papers and see the big picture
  • Able to switch between different writing tools – pencil, pen, marker, etc.…
  • Less tiring to read large amounts of text
  • Simpler to write formulas & math equations 
  • Easier to work through thought process more critically
  • Freedom of movement and location
  • Better comprehension on spelling, grammar, and flow process
  • Awareness of each individual’s work in collaborative spaces

Disadvantages of Written Notes

Time-Consuming

The primary disadvantage of written notes is that they can be time-consuming to create, as well as laborious to search through at a later date.  Additionally, the sharing of written notes is dependent on the transfer of physical content, requiring duplication and transportation, or one party to read the content to another which can introduce a variety of errors in tone, urgency, or understanding.

Document Security

Without proper care and maintenance, handwritten notes can easily be smudged, torn, damaged or become illegible through the simple passage of time. The neglect of these aspects can lead to the permanent degradation of the notes, leaving their contents inaccessible to future reference.

Accessibility to Other Readers

Handwritten notes, especially those transcribed in a hurry, can lack the formatting and structure needed to easily convey ideas to other readers in an effective manner. The shortcuts described earlier as an advantage for written notes can also compound this fault as those meaningful clues are lost without the cipher.

Other Disadvantages of Paper: Reading & Writing  

  • It can be more difficult to correct and edit using dictionaries and thesauruses
  • Can become messy and disorganized
  • Slower & discomforting to the hand
  • Handwriting is not easily readable – e.g., Doctor’s notes 
  • Restricting and heavy – e.g., Multiple textbooks back and forth to many classes

Digital and Paper Comprehension

 In an article by Kazanic. Z “Results indicate that student still prefer traditional paper instead of digital screen for their reading activities” (2015, P.1), we see the use of paper and digital is not mutually exclusive, each individual has their own preference on which tool works better for them in writing and reading. 

 Fortunati & Vincent states “the life cycle of a document includes a close intertwining of paper and digital versions: digital for searching, paper for integrating multiple sources; paper for planning, digital for drafting; paper for editing/proofreading, digital for finalizing; mostly digital for distribution and workflow; paper for reading (especially longer documents) and digital for archiving/filing.” (2014, P.1). You can see that the use of digital and paper can work hand in hand with one another. A hybrid environment when it comes to learning has a greater advantage rather than focusing on one side of the spectrum.

Conclusion

In conclusion, written and digital note-taking each has advantages and disadvantages. Each method is effective for different styles of learning and brings its own unique challenges. Taking the time to evaluate each will help students find the right balance of effectiveness and usability for the individual and through trials will help each person find the perfect system for their individual needs. Learning designers, administrators, instructors, and those who will be influencing the type of tools students must use, or have access to, should consider issues of access and equity when making these decisions in course design and delivery.

References

A Brave New World: Technology & Education. (2018). Trends Shaping Education Spotlight 15. OECD.org. https://doi.org/10.1787/9789264284395-en

Belson, S. I., Hartmann, D., & Sherman, J. (2013). Digital Note Taking: The Use of Electronic Pens with Students with Specific Learning Disabilities. Journal of Special Education Technology, 28(2), 13–24. https://doi.org/10.1177/016264341302800202

Fortunati, L., & Vincent, J. (2014). Sociological insights on the comparison of writing/reading on paper with writing/reading digitally. Telematics and Informatics, 31(1), 39–51. https://doi.org/10.1016/j.tele.2013.02.005

Jensen, M. M., Thiel, S.-K., Hoggan, E., & Bødker, S. (2018). Physical Versus Digital Sticky Notes in Collaborative Ideation. Computer Supported Cooperative Work (CSCW), 27(3-6), 609–645. https://doi.org/10.1007/s10606-018-9325-1

Kazanci, Z. (2015). University Students’ Preferences of Reading from a Printed Paper or a Digital Screen ― A Longitudinal Study. International Journal of Culture and History (EJournal), 1(1), 50. https://www.academia.edu/33908699/University_Students_Preferences_of_Reading_from_a_Printed_Paper_or_a_Digital_Screen_A_longitudinal_Study

Kelly, B., Phipps, L., & Swift, E. (2004). Developing a Holistic Approach for E-Learning Accessibility. Canadian Journal of Learning and Technology / La Revue Canadienne de l’Apprentissage et de La Technologie, 30(3). https://www.learntechlib.org/p/43221/

McLaughlin, R., & Kamei-Hannan, C. (2018). Paper or Digital Text: Which Reading Medium is Best for Students with Visual Impairments? Journal of Visual Impairment & Blindness, 112(4), 337–350. https://doi.org/10.1177/0145482×1811200401

Mueller, P. A., & Oppenheimer, D. M. (2014). The Pen Is Mightier Than the Keyboard: Advantages of Longhand Over Laptop Note Taking. Psychological Science, 25(6), 1159–1168. https://doi.org/10.1177/0956797614524581

Nickerson, R. S., & Zodhiates, P. P. (2013). Technology in Education: Looking Toward 2020. In Google Books. Routledge. https://books.google.ca/books?hl=en&lr=&id=NzmcYzz4Y0EC&oi=fnd&pg=PR3&dq=Nickerson

Robare, G. (2021, September 7). On handwriting. The Princetonian. https://www.dailyprincetonian.com/article/2021/09/handwritten-versus-typed-class-notes#:~:text=Typing%20is%20far%20faster%20than

Rogers, W. A., Fisk, A. D., Mead, S. E., Walker, N., & Cabrera, E. F. (1996). Training Older Adults to Use Automatic Teller Machines. Human Factors: The Journal of the Human Factors and Ergonomics Society, 38(3), 425–433. https://doi.org/10.1518/001872096778701935

Visual Network

For this assignment, I took some time to review my networking map and then rewatched Dave Cormier’s work to understand how I wanted to map this out. I still was unsure of how I wanted to approach this Visual Map. I took some time to review other cohorts’ blogs and see what direction they seem to take. Each person has a very interesting way of approaching this activity.

After a bit of sleuthing and exploring I was ready to start. I used the Kuma platform as it is very user-friendly and easy to jump into it right way. I broke down my quadrants of networks into groups of people I interact with. Family, Friends, School, Work & Online connections. I then added the categories of networks I use.

After having layout my bubbles, I choose one quadrant first and thought about which of the categories I use to engage them with. Once I had powered through all quadrants, it is amazing to see how much overlap there was and how one connection can be used more frequently among groups and how some can be singular in their usage.

My most connected was seen to be WhatsApp and my least connected group to a quadrant was One Drive.

As we progress through this degree and explore new tools I am interested to see the changes in usage towards the end of this program.

To view map larger click link below:

Radhika Arora Visual Map Large

Digital Identity and Presence

Since I stepped into the fore of technology and its uses, one piece of advice that has stuck with me since my diploma years is on being aware of your presence online and how much you share and what you give out to the world wide web. Because once it’s online it’s very hard to remove it. The exercise of mapping the use of my typology, gave me a moment of pause, as I consider what I use consistently, how I interact with it and what I use infrequently and how my use differs there. I find that in a majority of the networks I use, I am a resident as I maintain certain personas different from my IRL self. 

Up until now I mostly maintain a presence of anonymity of my existence by having personas. However, a select few networks showcase more of the real me, those networks are LinkedIn and my personal and work emails. Kelly Schryver’s (2013) blog asks the question “Will you be ‘Googled Well’? “ and I can confidently state that yes I can be googled well as I have maintained a high level of privacy when it comes to my keeping my digital footprint private

Up till now, I have maintained a quiet presence, after reflecting and seeing my map I find myself considering the questions asked in the conclusion of the article by White and Cronu, “‘What am I going there for?’, ‘What am I hoping to achieve?’, ‘Which place best serves my purpose?’, ‘How long do I intend to stay?’, ‘Have I got the skills that I need?’ and ‘Am I happy to be on my own, or would I prefer to be in company?’ (2011). “

I find that I fall short in maintaining connections virtually as it can become quite cumbersome and tiring to be consistently engaged once my query and purpose have been satisfied. I am mostly content on my own but I have had desires to do more creative things online which would open more opportunities to be seen and heard. 

To overcome this hurdle one of the first steps that has been taken is this MALAT program and it being fully online. I am now engaging more in forums, virtual discussions, synchronous meetings, and the creation of an academic blog. 

 A few of the desires I have had are:

  • To open a digital downloads store to start a passive income stream using my graphic design skills and start cultivating them more. 
  • To start a stream channel which showcases things of interest or guidance and maintain it consistently as the 1-2 attempts I made ended up with me falling off the map and never coming back.

However, to start with a more measurable goal I will:

  • Maintain the MALAT blog frequently 
  • Learn more about WordPress as an add to my graphic design skill
  • Connect more in discussions and join more guest speaker events 
  • Learn and play around more with creative digital environments such as Canva & mid-journey

I am excited to embrace the opportunity to step outside my comfort zone and challenge myself and my personal growth, and actively immerse myself in the learning process.

References

Schryver, K. (2013, February 5). Guest Post | Who Are You Online? Considering Issues of Web Identity. The Learning Network. https://archive.nytimes.com/learning.blogs.nytimes.com/2013/02/05/guest-post-who-are-you-online-considering-issues-of-web-identity/

White, D. S., & Le Cornu, A. (2011). Visitors and Residents: A new typology for online engagement. First Monday, 16(9). https://doi.org/10.5210/fm.v16i9.3171