PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 3, 2026Discover Education1 citationsOpen Access

Perceptions challenges and ethical concerns of ChatGPT use in Indian higher education institutions

ASAditi SinghBanaras Hindu UniversityABAshish BajpaiIMS Unison UniversitySSSiddharth SinghBanaras Hindu University

Key Points

  • The aim is to explore how students and teachers perceive the academic use of ChatGPT in Indian higher education institutions.
  • Qualitative descriptive design
  • Thematic interpretation of focus group discussions
  • Participants included 60 students and 20 teachers from various Indian universities
  • Purposive selection of participants based on their relevance and knowledge of ChatGPT
  • Students showed limited recognition of ChatGPT's academic value due to prompt formulation issues and knowledge gaps.
  • Teachers recognized potential but expressed concerns about academic integrity and cognitive engagement.
  • The lack of clear institutional guidance was identified as a significant barrier to effective use.

Abstract

This study examines how students and teachers in Indian higher education institutions (HEIs) perceive the use of ChatGPT for academic purposes. Adopting a qualitative descriptive design supported by thematic interpretation of focus group discussions, the research explores perceptions of ChatGPT’s academic significance, challenges in obtaining effective outputs, and associated ethical concerns. Participants were purposively selected from universities across India and included students (n = 60) and teachers (n = 20). The findings indicate that students demonstrated limited recognition of ChatGPT’s academic value, primarily due to difficulties in prompt formulation, perceived knowledge gaps, and ethical hesitation. Teachers, while acknowledging the tool’s potential, expressed caution regarding its implications for academic integrity, cognitive engagement, and long-term learning outcomes. Across both groups, the absence of clear institutional guidance emerged as a key barrier to confident and responsible use. Interpreted through the lens of the Technology Acceptance Model (TAM), the study proposes an illustrative conceptual framework to guide future empirical research on AI adoption in higher education. The study contributes context-specific qualitative insights to inform policy, pedagogy, and AI literacy initiatives in higher education settings.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Singh et al. (2026) studied this question.

synapsesocial.com/papers/69a67eb2f353c071a6f0a222https://doi.org/10.1007/s44217-026-01300-8
Ask AI
Helpful
Bookmark
Share
View Full Paper