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September 10, 2025Journal of Advanced Research in Applied Sciences and Engineering TechnologyOpen Access

Integrating AI Chatbot in Medical Education: A Technology Acceptance Study of ChatGPT using UTAUT2

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Authors

HMHazwani Mohd MohadisIII. IsmailIIIdza Riati Ibrahim

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Overview

Technology acceptance study analyzes ChatGPT adoption in undergraduate medical students, highlighting factors influencing behavioral intention.

Key Points

  • Habit and Facilitating Conditions significantly predict behavioral intention to use ChatGPT, indicating essential factors for adoption.
  • Data collected from 70 undergraduate medical students reveals that institutional support plays a crucial role in technology acceptance.
  • Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to test relationships within the UTAUT2 framework.
  • Findings suggest a need for acceptance strategies that focus on habitual use rather than just enhancing functionality.

Cite This Study

Mohadis et al. (2025) studied this question.

synapsesocial.com/papers/68c1d5f754b1d3bfb60f8ecehttps://doi.org/10.37934/araset.56.1.215239
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exploring the factors affecting ChatGPT acceptance among university students2024 · 24 citations
  2. 2Adoption of ChatGPT in Higher Education: A UTAUT Based Comparative Study of Students and Lecturers2026 · 1 citations
  3. 3STUDENTS’ ACCEPTANCE OF AI-BASED CHATGPT FOR EDUCATION: A COMPREHENSIVE ANALYSIS USING PLS-SEM2024
  4. 4Exploring college educators’ behavioral intentions towards ChatGPT: a UTAUT2 framework analysis2026
  5. 5Subserved by ChatGPT: Exploring the Adoption of AI Tool for Academic Tasks among College and University Students2025