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Determinants of ChatGPT adoption among students in higher education: the moderating effect of trust

  • Behzad Foroughi
  • , Mohammad Iranmanesh
  • , Morteza Ghobakhloo
  • , Madugoda Gunaratnege Senali
  • , Nagaletchimee Annamalai
  • , Bita Naghmeh-Abbaspour
  • , Abderahman Rejeb
  • I-Shou University
  • La Trobe University
  • Uppsala University
  • Edith Cowan University
  • Universiti Sains Malaysia
  • University of Rome Tor Vergata

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Purpose: ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching and learning process. Drawing on the technology acceptance model (TAM) and information system (IS) success model, this study aims to investigate determinants of students’ intention to use ChatGPT for education purposes. Design/methodology/approach: The partial least squares technique was used to analyse 406 usable data collected from university students in Malaysia. Findings: The results confirmed the relationships between perceived usefulness (PU), perceived ease of use (PEU), attitude and intention to use proposed by TAM. PU and PEU are influenced by system quality. Surprisingly, trust in information moderates negatively the influences of PEU and PU on attitude. Practical implications: The findings provide insight for higher education institutions, unit instructors and ChatGPT developers on what may promote the use of ChatGPT in higher education. Originality/value: The study contributes to the literature by exploring the determinants of ChatGPT adoption, extending the TAM model by incorporating IS success factors and assessing the moderating effect of trust in information.

Original languageEnglish
Pages (from-to)1-21
Number of pages21
JournalElectronic Library
Volume43
Issue number1
DOIs
StatePublished - 22 Jan 2025
Externally publishedYes

Keywords

  • Artificial intelligence
  • ChatGPT
  • Chatbot
  • Conversational agents
  • Natural language processing
  • Technology adoption
  • Text generation

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