Factors affecting students’ intention to use artificial intelligence in learning: An empirical study in Vietnam

This study was conducted to evaluate the factors affecting students’ intention to use artificial intelligence (AI) in their learning process in the context of Vietnam. A mixed-method approach, which combined both quantitative and qualitative analysis, was used in this study. The research model was built based on the technology acceptance model (TAM). The research results with 404 students at universities in Vietnam showed that the intention to use AI was influenced by the factors of perceived ease of use and perceived usefulness of AI. The study also provided some implications for universities, developers, and service providers related to AI to increase the value of AI in students’ learning process.

Authors

Institutions

Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-04-17
DOI
https://doi.org/10.55214/25768484.v9i4.6330
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors affecting students’ intention to use artificial intelligence in learning: An empirical study in Vietnam

Nguyen Thu Hoai
1 citations
Edelweiss Applied Science and Technology
Online Learning and Analytics
1.69
article

Factors affecting students’ intention to use artificial intelligence in learning: An empirical study in Vietnam

Nguyen Thu Hoai
article en
1 citations

Abstract

This study was conducted to evaluate the factors affecting students’ intention to use artificial intelligence (AI) in their learning process in the context of Vietnam. A mixed-method approach, which combined both quantitative and qualitative analysis, was used in this study. The research model was built based on the technology acceptance model (TAM). The research results with 404 students at universities in Vietnam showed that the intention to use AI was influenced by the factors of perceived ease of use and perceived usefulness of AI. The study also provided some implications for universities, developers, and service providers related to AI to increase the value of AI in students’ learning process.

Edelweiss Applied Science and TechnologyVol. 9(4)
Thuongmai University (VN)
Openalex Percentile: Top 14%
Online Learning and Analytics
1.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.