Activity 1-4 |3-2-1 

Three initial thoughts, ideas or feelings you have about facilitation in digital environments.

As the first-week ends, I am intrigued by the significance of learning environments and facilitation in shaping the learning experience. I greatly appreciate the facilitators who effectively handle multiple roles, such as cheerleaders, social butterflies and learning coaches (Bull, 2013). Additionally, the Community of Inquiry (CoI) model resonates with me as I think about themes like “Supporting student success” and “Providing clarity through course structure” (Dunlap & Lowenthal, 2018). It reinforces my belief in educators’ significant impact on creating meaningful and supportive digital learning journeys.

Two questions that I have about digital facilitation:

  1. How can digital facilitators maintain a social presence and consistently engage learners, particularly when facing personal obstacles, potential burnout, or unexpected life events?
  2. What strategies can digital facilitators employ to address feelings of isolation or detachment among participants and foster community? Drawing from Bull’s (2023) concept of the ‘big brother’ role, can this approach be leveraged to enhance student engagement by reaching out to those who have not logged in?

1 metaphor or simile about digital facilitation.

Facilitating in a digital learning environment is like being a DJ that encourages students with kind words (Cheerleader), ensuring they mingle (Social Butterfly) and controls the music’s tempo (Valve Control) to match the party’s mood

 

 

References:

Bull, B., EdD. (2023). 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/
Dunlap, J. C., & Lowenthal, P. R. (2018). Online educators’ recommendations for teaching online: Crowdsourcing in action. Open Praxis, 10(1), 79. https://doi.org/10.5944/openpraxis.10.1.721

 

EUMAE Design Principles

Our task in assignment 2A was to work in groups to investigate design challenges in a real-world work environment. Michal and I investigated the design process challenges we encountered at our respective workplaces. Through this investigation, we developed our problem statement: “How can design thinking be used to ensure that corporate training program content is relevant and engaging?”. As a result, we created a prototype that incorporated AI, personalized learning, and social learning in corporate settings to increase learner engagement.

This blog post discusses six design principles that can be used in a corporate environment to promote learner engagement when designing learning. These principles include empowerment, user-centred design, accessibility, meaning, experiential, and multiple means of action or expression. Each principle is briefly defined and explained in the context of corporate learning and its potential to increase learner engagement.

Empowerment

According to the British Council (2014), empowerment is a process in which learners can make choices about their learning experience. This power transfer from teacher to learner allows them to become more self-sufficient and autonomous (British Council, 2014). Giving learners control over their own learning experience by giving them choices in the topics they want to learn about, the pace at which they want to learn, and the methods they want to use by providing a variety of learning options, such as self-paced e-learning modules, virtual instructor-led training, and on-the-job training, gives learners the ability to find the material relevant and engaging.

 

User-centered

The Interaction Design Foundation (2019) defines user-centered design (UCD) as an iterative process that focuses on understanding and incorporating the needs of the users, in this case, learners, throughout the design process (Interaction Design Foundation, 2019). By involving learners in the design process, we can better understand their needs and preferences, resulting in more meaningful and engaging learning experiences. This approach encourages collaboration between designers and learners, ensuring that learning materials and activities are tailored to the learners’ specific needs.

 

Accessible

The University of British Columbia (n.d.) defines accessibility in education as the ability for course materials, content delivery, and learning activities to be accessible to students with a wide range of abilities operating in a wide range of environments, conditions, and circumstances (Designing for Accessibility: An Introduction to Universal Design for Learning, n.d.). Employees in corporate settings come from various backgrounds, learning styles, and abilities and may have varying requirements for accessing and engaging with learning materials. Thus, accessibility in corporate learning environments is critical to ensuring that all employees have an equal opportunity to access and benefit from the learning opportunities provided.

Meaningful

According to Hung (2006), meaningful learning is a deliberate process in which learners actively engage in authentic tasks, working cooperatively and intentionally to construct their understanding through interaction with their environment. This method is task-based and collaborative and works best in real-world situations. Therefore, using this approach in a corporate setting by incorporating real-world scenarios and activities relevant to the learners’ job roles and responsibilities, as well as providing opportunities for them to apply what they have learned in the workplace, can improve learners’ engagement in the learning process.

 

Experiential

According to Kolb and Kolb (2017), experiential learning is a process in which the learner is in direct contact with the realities being studied rather than simply reading or hearing about them. This approach emphasizes the importance of direct sense experience and in-context action as primary sources of learning. It frequently includes a combination of action and reflection, as well as experience and concept. By providing opportunities for hands-on, in-context learning experiences relevant to the learners’ job roles and responsibilities, experiential learning in corporate settings can help increase learner engagement.

 

Action

According to Kovac (2017), the principle of multiple means of action or expression refers to providing students with various ways to demonstrate what they have learned. This approach is used by teachers when there are multiple ways to assess student knowledge. In addition, this principle can be applied in corporate settings by providing employees with multiple ways to demonstrate their understanding and proficiency in a specific skill or task. This can help employees with different learning styles, and abilities demonstrate their knowledge and skills more comfortably and effectively.

References

Designing for Accessibility: An Introduction to Universal Design for Learning. (n.d.). Retrieved January 15, 2023, from https://isit.arts.ubc.ca/designing-for-accessibility-an-introduction-to-universal-design-for-learning/

Hung, D. (2006). Engaged Learning with Emerging Technologies. Springer Science & Business Media.

Interaction Design Foundation. (2019). What is User Centered Design? The Interaction Design Foundation; UX courses. https://www.interaction-design.org/literature/topics/user-centered-design

Kolb, A., & Kolb, D. (2017). Experiential Learning Theory as a Guide for Experiential Educators in Higher Education. Experiential Learning & Teaching in Higher Education, 1. https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1005&context=elthe

 TeachingEnglish | British Council | BBC. (2014). TeachingEnglish | British Council | BBC. https://www.teachingenglish.org.uk

Thomson, G. (2021, August 30). Multiple Means of Action or Expression. Accessibility for Ontarians with Disabilities Act (AODA). https://www.aoda.ca/multiple-means-of-action-or-expression

Exploring the Impact of AI on Learning

In this blog post, I want to examine how artificial intelligence (AI) is used in education and how it might affect students’ learning abilities. AI has been a subject of interest in education for the past 50 years, as noted by Holmes et al. (2019).

In a discussion forum post, I recently highlighted ten ways AI is used in education, including personalized learning, task automation, and smart content creation (Sirois, 2022). These are just a few examples of how artificial intelligence (AI) is being used to improve education and learning through edtech.

Adaptive learning systems, such as Squirrel AI Learning, are one specific application of AI in education. According to Wang et al. (2020), these systems have significantly improved student performance in mathematics in China. Furthermore, in two studies, students who used Squirrel AI Learning independently outperformed those who received instruction from expert teachers, regardless of prior knowledge, gender, age, or parental education. These findings imply that adaptive learning systems can effectively accommodate individual students’ knowledge and learning needs and may be more effective than traditional classroom instruction. More research is needed, however, to confirm these findings and investigate the effectiveness of adaptive learning systems in other grade levels, subjects, and academic contexts.

While the use of AI in education has great potential, it is also important to consider the potential risks and ethical concerns. According to Hagerty and Rubinov (2019), the use of AI in education can widen the digital divide and reinforce existing social inequalities, potentially resulting in the exclusion of certain communities and disproportionately affecting marginalized groups such as women and racial and ethnic minorities. As a result, it is critical to address these issues to ensure that all students have equal access and opportunities to benefit from AI advancements in education.

References

Hagerty, A., & Rubinov, I. (2019). Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence. ArXiv:1907.07892 [Cs].https://arxiv.org/abs/1907.07892

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: promises and implications for teaching and learning. The Center For Curriculum Redesign.

Sirois, J. (2022, December 17). AI and EdTech: Amplifying Social Inequalities. Royal Roads University. https://moodle.royalroads.ca/moodle/mod/forum/discuss.php?d=917405#p3539529

Wang, S., Christensen, C., Cui, W., Tong, R., Yarnall, L., Shear, L., & Feng, M. (2020). When adaptive learning is effective learning: comparison of an adaptive learning system to teacher-led instruction. Interactive Learning Environments, 1–11. https://doi.org/10.1080/10494820.2020.1808794