The Sutton Six

LRNT524 Assignment 4

I’m the last in my line of Suttons. My grandfather “Buck” had one daughter (my mother), and she had one daughter (me). When my mom married, she took on my dad’s name and when we lost my grandpa in 1988, the family thought that was the end of our Sutton lineage. It was then that I decided to change my name to Sutton to extend our name for one more generation. I too have one daughter (and two stepsons) who do not carry the Sutton name so I’m making the most of it as long as I can.

For this assignment, I saw an opportunity – not just to keep our name alive – but rather because of the intrinsic meaning of the name to me and how it relates to the principles I hold in life and learning design. My grandfather was a fire chief in suburban Chicago and my mother is a psychologist in Vancouver. Both professions are strongly principled and take oaths to serve both as commitments to their professional principles and because they hold people’s lives in their hands. Before my grandfather, several generations of Sutton men and women were in service roles, taking care of others.

Helping organizations adopt AI does not carry such weight but inspiring businesses and individuals toward positive change and measurable success through learning is where I find meaning and so take my oath in the form of The SUTTON Six design principles.

SCALABLE
Effective learning design should be able to grow and adapt. Drawing from Successive Approximation Model (Allen, 2012), this principle emphasizes the need for adjustable learning designs and technologies to accommodate more learners or learning contexts while ensuring the core learning experience remains robust and effective no matter the scale.

UNIVERSAL
Learning experiences must be inclusive and accessible to all learners. This principle reflects Universal Design for Learning (Takacs et. al., 2021) with a commitment to ensuring that learning materials are designed considering accessibility, localization, Indigenization, equity, and inclusion of culturally relevant materials for learning where everyone can thrive.

TIME-SMART
Learning design and delivery should be efficient. It must respect both the learners’ and instructors’ time and understand human limitations on cognitive load as described by Sweller (2019). This principle focuses on streamlining learning by optimizing the use of time and technology to focus on the most relevant content in quick, digestible chunks.

Tailored
Learning experiences should be tailored to meet the unique needs of individual learners. Recognizing that learners are diverse, this principle encourages Stanford d.School’s (2018) Design Thinking practices of inquiry and understanding of learners’ needs – both as individuals and businesses – to design and deliver experiences for their learning styles and preferences.

Outcome-based
Designs should focus on measurable results and actions. Using Constructive Alignment (Biggs, 1996), this principle highlights the importance of connecting learning activities and assessments with specific business outcomes. This ensures effective design with demonstrable progress for learners toward their goals.

Nimble
The process of design should embrace Kaizen’s continuous improvement (Kregel, 2019). This principle acknowledges that the learning landscape is dynamic and requires the ability to evolve and improve designs. Like SAM (Allen, 2012), it encourages ongoing evaluation and rapid adjustments based on learner feedback, data, and emerging technologies.

The SUTTON Six design principles – Scalable, Universal, Time-Smart, Tailored, Outcome-Based, and Nimble – represent my commitment to creating learning environments that are not only effective but also equitable, engaging, and relevant. These design principles are the latest discovery on my interdisciplinary learning journey. Drawing from course materials and academic literature, my professional experiences, constructivist bias, socio-technical systems theory, and 27 years of design thinking practice, it was validating, cathartic, and deeply informative to pen these principles. I am committed to continuous improvement in creating experiences that are transformative for all learners – and, in making the Sutton family proud in doing so.


Some final thoughts…

My work supporting organizations in digital transformation is a complex challenge shaped by a panicked convergence of technological, organizational, and human elements. Designing learning experiences to improve the adoption of technology requires an interdisciplinary approach and why I’m in the MAIS program. The interconnected nature of technology, organizations, and individuals necessitates collaboration between different disciplines to enrich our theoretical understanding and enhance the practical applicability of strategies aimed at fostering successful digital transitions. Effective digital transformation involves not only a profound grasp of technology but also requires crucial changes in process and people that can be realized through effective learning experiences. I’m grateful for this assignment and this leg of the journey. Thank you for welcoming me into the MALAT program – taking LRNT523/524 has been amazing.


References

Allen, M. (2012). Leaving ADDIE for SAM: Moving beyond Content-Centered design. In ASTD Handbook IIhttps://content.alleninteractions.com/hubfs/eBooks%20-%20White%20Papers%20-%20Case%20Studies/White-Paper-Allen-Interactions-Leaving-ADDIE-for-SAM-Beyond-Content-Centered-Design.pdf

Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347–364. https://doi.org/10.1007/bf00138871

Kregel, I. (2019). Kaizen in university teaching: continuous course improvement. International Journal of Lean Six Sigma, 10(4), 975–991. https://doi.org/10.1108/ijlss-08-2018-0090

McTighe, J., & Wiggins, G. (2012). Understanding by design framework. Association for Supervision and Curriculum Development. https://files.ascd.org/staticfiles/ascd/pdf/siteASCD/publications/UbD_WhitePaper0312.pdf

Stanford d.school (2018). Design Thinking Bootleg. Stanford d.school. https://dschool.stanford.edu/resources/design-thinking-bootleg

Sweller, J. (2019). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1-16. https://doi.org/10.1007/s11423-019-09701-3

Takacs, S, Zhang, J., Lee, H., Truong, L., & Smulders, D. (2021) A comprehensive guide to applying universal design for learning. Justice Institute of British Columbia. https://pressbooks.bccampus.ca/jibcudl/ 

Instructional Design Models for Smart AI Adoption

LRNT524: Week 4 Blog

Helping small and medium-sized businesses (SMBs) implement AI goes beyond just introducing new technology. AI can boost productivity, open up new business opportunities, and keep a company relevant. However, the real challenge lies in preparing managers and employees for the significant shifts in strategy and culture that AI brings with it. Instructional design (ID) models can support the smart integration of AI in business by providing efficient, effective, and tailored learning experiences.

Our AI Adoption Program incorporates Universal Design for Learning (UDL) and microlearning models grounded in constructivist learning theory. These combined approaches provide SMBs with a clear and effective method for addressing the challenges associated with adopting AI.

Bite-Sized AI Education

Let’s face it, business leaders are busy. Microlearning can be the answer for corporate training needs by delivering knowledge in short, digestible bursts. As Dolasinski and Reynolds (2020) explain, microlearning is ideal for learners with limited time and attention.

Each module in our program is designed in sections to make it easier and less time-consuming to complete. The AI Basic Training module has three parts: AI fundamentals, data infrastructure overview, and a prompting workshop for generative AI. Each part equips leaders with consumable, practical knowledge they can immediately apply to their businesses.

Making AI Accessible

AI adoption isn’t a one-size-fits-all activity. Every business is unique, from its leadership styles to cultural nuances. UDL, outlined by Heaster-Ekholm (2020), aims to be participatory in nature by offering “multiple means of engagement,” so different people can connect with the content (p. 58).

Our AI Readiness Assessment uses UDL principles to deliver insights in various formats. Data-driven leaders get dashboards, big-picture thinkers get narrative overviews, and visual learners get colorful infographics. By meeting participants where they are, we create a more accessible, confidence-boosting learning experience.

Constructivist Learning

According to Heaster-Ekholm (2020), the constructivist learning process focuses on activities where learners build connections and create meaning from their experiences. Translation? It’s not enough to talk about AI – you’ve got to use it. That’s exactly where the AI Pilot in our program comes in.

During the pilot, SMBs take current business problems, apply AI, and learn what works and where they need improvement. One of the teams I worked with used AI to respond to customer support emails. The responses were, let’s say, embarrassing. Emails seemed artificial and lacked personality. After hearing to customer feedback, they fine-tuned their approach. The result? AI-generated emails were much improved, and more importantly, the pilot team was inspired to continue adopting AI.

Designing for AI Success

Our AI Adoption Program leverages best practices of UDL to embrace diversity, microlearning for enhanced accessibility, and constructivist theory to engage learners in hands-on activities. These approaches are the backbone of our program, empowering SMB leaders to not only understand AI but also feel confident to adopt it.

Looking ahead, I see opportunities to integrate more scaffolded learning. This approach aligns with Vygotsky’s Zone of Proximal Development, allowing learners to progress step-by-step with just enough challenge to stretch their capabilities without overwhelming them.

The next frontier is gamification. Game mechanics such as leaderboards, badges, or AI-mediated game role-play can spark interest in the content and offer participants immediate feedback and positive reinforcement. This would build on the program’s constructivist foundation by allowing more room for active learning.

By continuing to refine and expand the instructional design framework at the core of our AI Adoption Program, I can ensure it remains a dynamic, impactful tool for SMBs navigating the complex world of AI. Employing these instructional design models doesn’t just teach leaders what AI can do – it equips them to unlock its full potential with confidence and creativity.


References

Dolasinski, M. J., & Reynolds, J. (2020). Microlearning: a new learning model. Journal of Hospitality & Tourism Research, 44(3), 551–561. https://doi.org/10.1177/1096348020901579

Heaster-Ekholm, K. L. (2020). Popular instructional design models: their theoretical roots and cultural considerations. International Journal of Education and Development Using Information and Communication Technology16(3), 50–65. http://files.eric.ed.gov/fulltext/EJ1275582.pdf

Ideogram.ai. (2024). Photographic image for blog post: Instructional Design Models for Smart AI Adoption. https://ideogram.ai/


Responsible Use of AI

This blog post was created through a synergy between human expertise and AI assistance. Specifically, Ideogram.ai was used to generate a photographic image based on my input and preferences. Each element was written by me with copy-editing help from ChatGPT. The use of AI in this manner adheres to the guidelines and recommendations provided by my program, ensuring the work maintains originality and academic integrity.

Education’s AI Makeover

LRNT524 Assignment 1: PechaKucha by Darren Fischer & Kirsten Sutton


AI is rapidly transforming education. 

A college’s administration is responsible for establishing and maintaining the vision for their institute’s evolution. These days they are faced with the challenge to integrate generative AI meaningfully and responsibly into their institutions before they fall behind. 


The Problem Statement

The college community needs to develop digital literacy in adopting
Generative AI because faculty and students are not confident to use it.


Darren and I created character profiles, empathy maps, and used insights gathered through the Empathy and Define steps of Design Thinking to refine our design challenge in a POV Madlib.

Check out the results in this fun Pecha Kucha designed in partnership with AI. Enjoy the 6:40!


References

d.school at Stanford University, & Talkin, F. (2018). Design Thinking Bootleg. https://static1.squarespace.com/static/57c6b79629687fde090a0fdd/t/5b19b2f2aa4a99e99b26b6bb/1528410876119/dschool_bootleg_deck_2018_final_sm+%282%29.pdf

Ideogram.ai. (2024). Photographic image for blog post: College AI Education. https://ideogram.ai/g/aOajzx40ROC0EedfeyVtnQ/1

Ideogram.ai. (2024). Photographic image for PechaKucha: Empowering College Community with Gen AI 2024. https://ideogram.ai/g/2wI-J-8pTwCEzlrTVDcjvA/1