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“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”
Ahmad Samed Al-Adwan
, Na Li
,
Amer Al-Adwan
*
, Ghazanfar Ali Abbasi
, Nour Awni Albelbisi
, Akhmad Habibi
*
Corresponding author for this work
TII Translation and Interpreting Studies
Al Ahliyya Amman University
Xi'an Jiaotong-Liverpool University
King Fahd University of Petroleum and Minerals
University of Malaya
University of Jambi
Research output
:
Contribution to journal
›
Article
›
peer-review
381
Citations (Scopus)
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Keyphrases
Adoption Intention
100%
Higher Education Students
100%
Perceived Ease of Use
100%
Personal Innovativeness
100%
Cyber Risk
100%
Behavioral Intention to Adopt
100%
Reform in Education
50%
Extended Technology Acceptance Model
50%
Technology for Education
50%
Online Learning Performance
50%
Student Adoption
50%
Educational Authorities
50%
PLS-SEM Analysis
50%
Main Determinants
50%
Educational Metaverse
50%
Private Universities
50%
Metaverse Technology
50%
Perceived Enjoyment
50%
Immersive Learning
50%
Social Sciences
Student Education
80%
Self-Efficacy
40%
Early Childhood
40%