Enhancing academic integrity among students in GenAI Era:A holistic framework

Tareq Rasul, Sumesh Nair, Diane Kalendra, M. S. Balaji, Fernando de Oliveira Santini, Wagner Junior Ladeira, Raouf Ahmad Rather, Naveed Yasin, Raul V. Rodriguez, Panagiotis Kokkalis, Md Wahid Murad, Md Uzir Hossain

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)

Abstract

The introduction of Artificial Intelligence (AI), specifically Generative AI (GenAI), has significantly transformed the higher education landscape. Despite the opportunities GenAI offers to students, they pose significant challenges for academic integrity. Thus, it is crucial for higher education institutions (HEI) to balance the use of GenAI for enhancing the learning experience of students with its ethical and responsible use in their educational journey. The present study proposes a comprehensive academic integrity framework focusing on three key stakeholders: students, educators, and institutions. We propose eight strategies ranging from collaborative learning for students to developing a comprehensive GenAI policy for institutions in maintaining academic integrity among students in HEI. Furthermore, we identified four challenges, namely financial, strategic, operational, and cultural, in the implementing a comprehensive academic integrity framework in the GenAI era. This study offers significant insights for HEI to maintain academic integrity among students in the GenAI era.

Original languageEnglish
Article number101041
JournalInternational Journal of Management Education
Volume22
Issue number3
DOIs
Publication statusPublished - Nov 2024

Keywords

  • Academic integrity
  • Generative AI
  • Higher education
  • Stakeholders
  • Students

ASJC Scopus subject areas

  • Education
  • Strategy and Management

Fingerprint

Dive into the research topics of 'Enhancing academic integrity among students in GenAI Era:A holistic framework'. Together they form a unique fingerprint.

Cite this