In this article, James Best, Learning Design Specialist, explores the effect AI video generation will have on e-learning, and the importance of utilising it strategically to deliver maximum value to learners.
The advent of AI video generation software promises a seismic shift in eLearning, offering unprecedented potential for creating engaging and personalised learning experiences, especially in relation to providing CPD that delivers real value to brokers.
However, the key to unlocking this potential lies not just in its availability, but in its strategic implementation, guided by sound pedagogical principles.
Critical Load Theory (CLT) posits that working memory has a limited capacity and overloading it with extraneous information hinders learning. AI-generated videos, if used indiscriminately, could easily exacerbate this problem. Imagine a poorly designed video packed with complex visuals, rapid-fire narration, and irrelevant animations – a perfect recipe for cognitive overload.
This is especially relevant when considering the content and design of e-learning courses designed for those within the insurance industry. Covering intense, complex regulatory and technical topics, material must be engaging and digestible to impart true learning.
Therefore, the transformative power of AI video generation in eLearning hinges on its judicious application. We must move beyond the novelty of the technology and focus on how it can be used to optimise learning outcomes.
Strategic Applications for Enhanced Learning:
- Microlearning Modules: AI excels at generating short, focused videos that address specific learning objectives. These microlearning modules perfectly with CLT by breaking down complex topics into digestible chunks. Imagine a 2-minute AI-generated video explaining a single concept, followed by an interactive quiz. This approach minimises extraneous load and maximises germane load – the cognitive effort dedicated to understanding the core content. For the insurance industry, this could work well for new, or emerging topics and trends, or to provide a basic overview or recap of a topic.
- Personalised Explanatory Videos: AI can generate personalised videos tailored to individual learner needs. Using data on learner progress and preferences, AI can create videos that address specific knowledge gaps or present information in a preferred learning style. This personalisation reduces intrinsic load – the inherent difficulty of the material – by adapting the presentation to the learner’s existing schema. In relation to the insurance industry, this could allow content to be created that is tailored to specific roles or products.
- Virtual Explanations of Abstract Concepts: Many eLearning topics involve abstract concepts that are difficult to grasp through text alone; this could be especially useful when detailing complex regulatory topics within the insurance industry. AI video generation can create dynamic visual representations of these concepts, fostering deeper understanding. For example, a simulation of a chemical reaction or a visualisation of data trends can significantly reduce extraneous load, allowing learners to focus on the essential information.
- Scenario-Based Learning: AI can generate interactive scenarios that simulate real-world situations, allowing learners to practice decision-making and problem-solving. This approach aligns with constructivist learning theory, which emphasises active learning and knowledge construction. AI-generated scenarios can provide a safe and engaging environment for learners to apply their knowledge and receive immediate feedback. Utilising this strategy could enable CPD to transcend traditional limitations, allowing brokers to engage with interactive scenarios which involve them applying and testing what they have learned in a way that is relevant to their everyday role and allows a true reflection on competency.
- Multimodal Learning Experiences: AI can seamlessly integrate various media elements, such as text, images, and audio, into a single video. This multimodal approach caters to different learning styles and enhances engagement. However, it's crucial to ensure that these elements are carefully coordinated to avoid overwhelming the learner's working memory. The integration should adhere to the modality principle, ensuring that verbal and visual information are presented separately rather than redundantly.
- The Importance of Length and Timing: The length and timing of AI-generated videos are critical factors in maximising their effectiveness. Short, concise videos are generally preferred, as they minimise cognitive load and maintain learner attention. The timing of video delivery is also crucial. Videos should be strategically placed within the learning sequence to reinforce key concepts and provide timely support.
Beyond CLT: Other Relevant Learning Theories:
- Multimedia Learning Theory: This theory emphasizes the importance of using both words and visuals to enhance learning. AI video generation aligns perfectly with this principle, but it's crucial to ensure that the visuals and words are integrated effectively.
- Social Cognitive Theory: This theory highlights the role of observation and modelling in learning. AI can generate videos featuring expert demonstrations and peer examples, providing learners with valuable models to emulate.
- Connectivism: This theory emphasizes the importance of networks and connections in learning. AI-generated videos can incorporate links to external resources and online communities, fostering a connected learning environment.
In conclusion, AI video generation software holds immense promise for transforming eLearning. However, its success hinges on its strategic application, guided by sound pedagogical principles, particularly Cognitive Load Theory. By creating short, personalised, and visually engaging videos that minimize cognitive load, we can unlock the full potential of this technology and create truly transformative learning experiences. The key is in using AI as a tool to enhance, not replace, sound instructional design.
The Development Zone currently has 10 microlearning courses live:
1. Achieving a Healthy Work-Life Balance
2. Active Listening
3. Building Self-Confidence
4. Contributing Effectively in Meetings
5. Giving Feedback
6. Learning from Failure
7. Maintaining Focus and Concentration
8. Overcoming Procrastination
9. Prioritising Tasks
10. Responding to Feedback
All are available on the course catalogue. If you’re new to the Development Zone, reach out to the team at devzone@ukgigroup.com to find out more. Or, sign up to a FREE 14-day trial: https://www.searchlightsolutions.co.uk/development-zone-free-trial/
