Active Learning and Human-AI Collaboration

 Summary of Pahi et al. (2024)

Background & Existing Knowledge
As AI tools enter classrooms, educators must explore how human-AI partnerships can improve teaching without losing personal connection.

New Insights from This Study
✔ Teaching Assistants (TAs) and ChatGPT offered complementary feedback styles.
✔ AI gave motivational, example-driven support; TAs focused on conceptual gaps.
✔ Students reported high satisfaction with hybrid feedback.

Practical Applications: How Educators Can Use This Research

Feedback Strategy
📌 Blend TA insights with AI-generated examples.
📌 Use ChatGPT for rapid clarification and student encouragement.
📌 Assign feedback zones (e.g., human = concept; AI = structure).

Instructional Design
📌 Design coding or problem-solving tasks for joint feedback.
📌 Provide early interventions using AI monitoring.
📌 Train TAs in AI integration practices.

Scalable Models
📌 Use hybrid feedback in large courses.
📌 Evaluate response quality and student confidence over time.
📌 Ensure ethical and pedagogical standards.

Conclusion
Human-AI collaboration enhances feedback in active learning environments, creating scalable, responsive, and student-centered support systems.

Key Words
generative AI, feedback, active learning, teaching assistants, AI literacy

Reference
Pahi, K., Hawlader, S., Hicks, E., Zaman, A., & Phan, V. (2024). Enhancing Active Learning Through Collaboration Between Human Teachers and Generative AI. Computers and Education Open, 6, 100183. https://doi.org/10.1016/j.caeo.2024.100183

Suggested Citation
Ross, E. M., & Malar, D. B. J. (2025). Active Learning and Human-AI Collaboration. Excellent Educator, 2(10), 7.