Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 5, 2025Asian Journal of Research in Computer ScienceOpen Access

Understanding AI Adoption in Higher Education: A Systematic Review of Technology Acceptance Model, Technology Readiness Index, and the Integrated Technology Readiness and Acceptance Model

View Full Paper
Ask AI
Bookmark
Share

Authors

NMNiti MittalGBGeetanjali BatraRSRajeev Sijariya

Discussion

Loading...

Member takes

Overview

Systematic review examines AI adoption factors in higher education, suggesting significant predictors like perceived usefulness and ease of use.

Key Points

  • Core predictors for AI adoption include perceived usefulness and ease of use, influencing behavioural intention.
  • The systematic review analyzed 25 studies, with a focus on technology acceptance and readiness models like TAM and TRI.
  • Research identified a gap between intention to use technology and actual technology usage in higher education settings.
  • Key research gaps include a shortage of longitudinal studies and underrepresentation of inclusive education professionals.

Cite This Study

Mittal et al. (2025) studied this question.

synapsesocial.com/papers/689a0f93e6551bb0af8d132bhttps://doi.org/10.9734/ajrcos/2025/v18i7729
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Acceptance of Artificial Intelligence (AI) In Science Education: Factors Influencing Science Teachers' Intention to Use: A Systematic Literature Review2025
  2. 2AI Adoption and Educational Effectiveness in Emerging Higher Education Institutions: The Moderating Role of Digital Literacy and Institutional Support2025 · 7 citations
  3. 3Investigating Factors Affecting AI Adoption in Higher Education Using Structural Equation Modelling (SEM)2025 · 4 citations
  4. 4AI in the Classroom: A Systematic Review of Barriers to Educator Acceptance2025 · 9 citations
  5. 5A Model for the Adoption of Artificial Intelligence in Inclusive Education: An Exploratory Study of Key Factors and Expert Insights2025 · 1 citations