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 Technology, 16(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.