Session 7: Prompt Design — Zero-shot vs Few-shot

Day 3 · Prompt Design & Iteration (3-1)

Warning🚧 Being prepared

This page is being finalized ahead of the course (Aug 3–7, 2026) and may be incomplete or change before your session. The syllabus and readings are ready now.

Learning objectives

Reading

Read (see all course readings):

  • Huang, J., & Mizumoto, A. (2025). Prompt engineering: Enhancing AI-driven language learning and feedback. In L. McCallum & D. Tafazoli (Eds.), The Palgrave Encyclopedia of Computer-Assisted Language Learning (pp. 1–8). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-51447-0_103-1
  • Kim, M., & Lu, X. (2024). Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning. Journal of English for Academic Purposes, 71, 101422. https://doi.org/10.1016/j.jeap.2024.101422

Slides & Colab