Design of Effective Case Studies and Reflections Using AI for Higher-Order Skills

Authors

  • Prakash Hegade KLE Technological University, Vidyanagar, Hubli, Karnataka - 580031
  • Ashok Shettar KLE Technological University

DOI:

https://doi.org/10.16920/jeet/2026/v39is2/26005

Keywords:

Artificial Intelligence; Case Studies; Problem Solving; Reflections; Taxonomies.

Abstract

Modern classrooms are shifting toward active, problem-based learning to prepare students for complex, interdisciplinary challenges, emphasizing higher-order thinking skills such as analysis, evaluation, and creation. Integrating AI in case study design enables dynamic, real-world scenarios, personalized feedback, and adaptive exploration, helping students move beyond rote knowledge to applied understanding and professional problem-solving. This study employs a model for AI-assisted case study design centered on threshold concepts, where faculty identify known and unknown aspects of a concept, its applications, and relevant principles, which are then used as prompts for LLM-generated case studies. Reflection questions are generated using Bloom’s Taxonomy to assess individual understanding, engagement, and higher-order thinking. Short assessments ensure that all students actively participate and internalize the concepts. The research investigates: How does AI-supported, threshold-concept-based case study design impact student engagement, reflection, and higher-order cognitive skill development in complex learning scenarios? Faculty workshops across India trained educators to use AI for designing case studies in diverse disciplines, reaching around 500 participants. Feedback collected from one of the workshops indicated high satisfaction, with participants gaining confidence in applying AI tools and reflection-based assessments. Case study assessments, guided by taxonomies, promoted real-world application, higher-order thinking, and collaborative engagement, enabling faster evaluation of student competence.

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Published

2026-02-18

How to Cite

Hegade, P., & Shettar, A. (2026). Design of Effective Case Studies and Reflections Using AI for Higher-Order Skills. Journal of Engineering Education Transformations, 39(Special Issue 2), 40–47. https://doi.org/10.16920/jeet/2026/v39is2/26005

Issue

Volume 39, Special Issue 2, January 2026

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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