Embracing Microlearning and AI in eLearning: CHART Orlando Breakout Recap

At the breakout session “Implementing a Framework for Developing Engaging and Effective eLearning,” led by Bob Duprey and Felicia White, we explored common challenges of developing an effective training program, the principles of microlearning, and new ways to use generative Artificial Intelligence (AI). The session commenced with a survey that shed light on the attendees' experiences with eLearning and AI, revealing some interesting insights.

Among the attendees, 31% were newcomers to the training domain, with AI adoption still in its early stages, 39% were in the research mode, and 22% were just venturing into implementation within the last six months. A smaller fraction of respondents (13%) had been using AI effectively, while only 4% cited company policies as the barrier to AI integration.

As the session unfolded, three key elements of effective microlearning were unveiled. First and foremost, content should be mobile-friendly and easily accessible, ensuring learners can access it at their convenience. Secondly, incorporating multimedia formats like videos, infographics, and interactive elements enriches the learning experience and enhances retention. Lastly, microlearning should focus on delivering specific and targeted content, cutting through the noise of unnecessary information.

The importance of focusing on the "Need to Know" versus the "Nice to Know" was emphasized. The process involves establishing clear business goals, defining performance goals, and identifying the necessary knowledge, skills, and abilities required to achieve them. However, several challenges with microlearning were brought to light, such as facing the dilemma of choosing appropriate training for various audiences and the ever-decreasing attention spans of learners. The question of “How small can microlearning go?” without compromising effectiveness also sparked intriguing discussions.

Bob and Felicia then presented three microlearning framework options. The first option involved presenting key learning points (without an arbitrary number) with content attached. Option two revolved around the "Content, Know, Do, Outcomes" structure, while option three encompassed a hierarchical approach consisting of a high-level outline, detailed design document, and a storyboard.

One of the most exciting aspects of the session was the utilization of AI tools in eLearning. Attendees learned that AI could be harnessed to "support the process" and enhance the learning experience. One of the session participants demonstrated the use of a custom avatar named "Fantasia" as a digital training assistant. The AI-powered tools WellSaidLabs and VyondGo also captured the audience's attention as they showcased AI voice capabilities and streamlined video creation from scripts. One table got to see AI’s power at work in Opus’s AI-powered course builder.

The final thought-provoking discussion revolved around whether AI could genuinely make eLearning more engaging. The convenience and speed with which AI-generated content can be developed were acknowledged, but concerns were raised about whether this ease compromised the overall learning experience and engagement levels of learners.

This breakout session proved to be a remarkable exploration of microlearning and AI's potential in the realm of training. Attendees departed with valuable insights, armed with the knowledge to create impactful and engaging eLearning experiences. As technology continues to evolve, the key takeaway is to strike a balance between embracing AI's capabilities while keeping learners at the heart of the learning process.