PEARL: Prompt Engineering Pedagogy for Teaching and Learning of Specific Technology

Authors

  • R. Raja Subramanian Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education (KARE), Tamil Nadu
  • Sunkara Prabhu Ram Karunya Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education (KARE), Tamil Nadu
  • Pujari Sai Nithin Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education (KARE), Tamil Nadu

DOI:

https://doi.org/10.16920/jeet/2026/v39is2/26065

Keywords:

Active Learning; AI in Education; Blended Learning; Linear Regression; PEARL Framework; Prompt Engineering

Abstract

This study evaluates the effectiveness of prompt-based pedagogy using the PEARL framework compared to traditional classroom teaching, as applied to teaching selected topics in a machine learning course. A total of fifty undergraduate students learned two foundational topics such as linear regression, gradient descent through both methods: first via regular lectures and later through structured prompt-based learning activities. Their responses were collected through surveys and analyzed using statistical methods, including one-sample t-tests, chi-square tests, and a binomial test. Results showed that prompt-based learning significantly improved their knowledge about these technical concepts with the help of analogy-based prompts. The study concludes that integration of prompt-based learning and traditional classroom teaching can yield better learning outcomes from a learner.

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Published

2026-01-30

How to Cite

Subramanian, R. R., Karunya, S. P. R., & Nithin, P. S. (2026). PEARL: Prompt Engineering Pedagogy for Teaching and Learning of Specific Technology. Journal of Engineering Education Transformations, 39(Special Issue 2), 547–553. https://doi.org/10.16920/jeet/2026/v39is2/26065

Issue

Volume 39, Special Issue 2, January 2026

Section

Articles
Crossref
Scopus
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Europe PMC

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