Week 4: Tutoring & Coaching

June 22 - June 28, 2026

Tuesday, June 23 from 4:00-5:30 p.m. PST

Readings

Chung, A. T.-H., Zhang, B., Kung, L.-C., Bastani, H., & Bastani, O. (2026, March 15). Effective personalized AI tutors via LLM-guided reinforcement learning. SSRN. https://ssrn.com/abstract=6423358
Pardos, Z. A., Tang, M., Anastasopoulos, I., Sheel, S. K., & Zhang, E. (2023, April). OATutor: An open-source adaptive tutoring system and curated content library for learning sciences research. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–17). ACM. https://dl.acm.org/doi/10.1145/3544548.3581574
Eames, T., Brunskill, E., Yamkovenko, B., Weatherholtz, K., & Oreopoulos, P. (2026). Computer-assisted learning in the real world: How Khan Academy influences student math learning. Proceedings of the National Academy of Sciences, 123(1), e2507708123. https://www.pnas.org/doi/10.1073/pnas.2507708123
Yost, L. (2025, July 23). Guerrilla prompting: Question everything. Laura Yost [Substack]. https://laurayost.substack.com/p/guerrilla-prompting-question-everything

Slides: TBD

This week: Check in on planned Final Project (email tatet@uci.edu a quick description of what you are thinking of doing) by our next class (June 30).

Due: Thursday, June 25

Create a short explainer (with accompanying 1-3 sentence statement) that responds to the weekly prompt provided by the instructor.

Prompt: Prompting--what you want your audience to know.

Due: Saturday, June 27

Each week, you will engage with two peers’ explainers and provide constructive, professional feedback on each.

Where to Submit: Canvas will automatically assign you two peer reviews to complete after you have submitted your explainer to the Canvas assignment.

Due: Sunday, June 28

Each week, submit a brief reflective journal entry (approximately 100–300 words) about your AI use during that week’s course activities.

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