Designing experiential learning activities with generative artificial intelligence tools for authentic assessment

David Ernesto Salinas-Navarro, Eliseo Vilalta-Perdomo, Rosario Michel-Villarreal, Luis Montesinos*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This article investigates the application of generative artificial intelligence (GenAI) in experiential learning for authentic assessment in higher education. Recognized for its human-like content generation, GenAI has garnered widespread interest, raising concerns regarding its reliability, ethical considerations and overall impact. The purpose of this study is to explore the transformative capabilities and limitations of GenAI for experiential learning. Design/methodology/approach: The study uses “thing ethnography” and “incremental prompting” to delve into the perspectives of ChatGPT 3.5, a prominent GenAI model. Through semi-structured interviews, the research prompts ChatGPT 3.5 on critical aspects such as conceptual clarity, integration of GenAI in educational settings and practical applications within the context of authentic assessment. The design examines GenAI’s potential contributions to reflective thinking, hands-on learning and genuine assessments, emphasizing the importance of responsible use. Findings: The findings underscore GenAI’s potential to enhance experiential learning in higher education. Specifically, the research highlights GenAI’s capacity to contribute to reflective thinking, hands-on learning experiences and the facilitation of genuine assessments. Notably, the study emphasizes the significance of responsible use in harnessing the capabilities of GenAI for educational purposes. Originality/value: This research showcases the application of GenAI in operations management education, specifically within lean health care. The study offers insights into its capabilities by exploring the practical implications of GenAI in a specific educational domain through thing ethnography and incremental prompting. Additionally, the article proposes future research directions, contributing to the originality of the work and opening avenues for further exploration in the integration of GenAI in education.

Original languageEnglish
Pages (from-to)708-734
Number of pages27
JournalInteractive Technology and Smart Education
Volume21
Issue number4
Early online date6 May 2024
DOIs
Publication statusPublished - 30 Oct 2024

Bibliographical note

Copyright © 2024, Emerald Publishing Limited. This author's accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact [email protected].

Data Access Statement

The data set supporting this study is available at: https://data.mendeley.com/datasets/68tym5fx9t/2 and
https://data.mendeley.com/datasets/wwbtfwwfwn/1

Keywords

  • Authentic assessment
  • ChatGPT
  • Experiential learning
  • GenAI
  • Higher education
  • Lean healthcare
  • Operations management

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