By using a well-structured Alzheimer’s Disease video as a foundational resource, your interactive design effectively integrates learner-content interaction. The approach of having learners document key facts and then answer specific questions ensures active engagement rather than passive viewing. Additionally, using Kahoot assessments is a great way to reinforce learning and provide interactive feedback.
One area that could further enhance engagement is incorporating peer discussions or collaborative analysis. For example, after answering the questions individually, students could compare their responses in small groups and discuss any discrepancies or surprising insights. This would introduce learner-learner interaction, which can deepen understanding and allow for different perspectives.
Type of Interaction To enhance students’ understanding of how to effectively ask AI questions, I selected a YouTube video explaining strategies for interacting with AI models like ChatGPT. This video introduces essential techniques for structuring clear, specific, and useful AI prompts. Below, I discuss how this video integrates with learning strategies, encourages interaction, and supports inclusive learning.
Respond The video explores how to frame effective AI queries and introduces strategies to optimize AI responses. While the video itself is not inherently interactive, students are expected to engage in multiple ways, such as taking structured notes on effective vs. ineffective AI prompts, practicing AI questioning by experimenting with different query structures in ChatGPT, and analyzing AI-generated responses to identify patterns of bias, ambiguity, or misinformation. By focusing on learner-generated responses, students actively experiment with AI interactions rather than passively consuming content.
Post-Video Activities for Skill Development To deepen engagement, I propose several post-video activities. In an AI prompt refinement exercise, students start with a basic AI question and then refine it step by step to improve clarity, specificity, and contextual accuracy. In an AI query comparison task, students analyze and compare AI responses based on different questioning techniques, evaluating which approach yields the most accurate and insightful information. In a real-world AI applications discussion, students identify professional or academic scenarios where effective AI questioning could enhance productivity or problem-solving. These activities ensure that students develop technical proficiency in AI interaction while also fostering critical thinking and precision in digital communication.
Feedback & Assessment Strategy To ensure effective feedback, students will receive peer feedback by reviewing each other’s AI queries and offering suggestions for improvement. They will also receive instructor feedback on their query refinement process, focusing on logical structuring and specificity. In addition, students will use self-assessment rubrics to evaluate their own questioning techniques and AI response quality. By incorporating multiple feedback sources, students can iteratively improve their ability to engage with AI tools effectively.
Managing Workload & Scalability This activity design balances effectiveness and feasibility. It is scalable, as it works for both small seminar groups and larger online courses by using AI-generated responses for peer review. It is manageable, as students self-assess their query refinement progress, reducing instructor workload. Most importantly, it is worthwhile, as it encourages active experimentation with AI, a valuable skill in modern education and professional settings.
Ensuring Inclusivity in AI-Based Learning To address potential learning barriers, I will provide transcripts and subtitles for students with hearing impairments or non-native English speakers. I will offer multiple engagement modes, including text-based exercises, audio reflections, and video demonstrations, to accommodate different learning styles. Additionally, I will use alternative AI platforms such as Google Bard and Claude to allow students to compare AI outputs across different models.
Reference
Jeff Su. (2023, Aug 1). Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)! Youtube. https://youtu.be/jC4v5AS4RIM?si=jEBfBtGiFbYAIDZc
Recent Comments