THE FACTORS AFFECTING STUDENTS' INTENTION TO PARTICIPATE IN TRAINING AND DEVELOPMENT PROGRAMS ON DIGITAL AND TECHNOLOGICAL SKILLS AT CAN THO UNIVERSITY OF TECHNOLOGY

This study investigates the factors affecting students' intention to participate in training and development programs on Digital and Technological skills at Can Tho University of Technology. Using a survey of 339 students, the study employs reliability testing, exploratory factor analysis (EFA), and Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. The results reveal that Cost and Time, Expected Benefits, and Learning Environment significantly and positively impact students' intention to participate, while Perceived Importance of Digital Skills, Confidence in Learning Digital Skills, and Support from University and Family show no statistically significant effects. The model explains 59.1% of the variance in students' intention to participate, demonstrating a strong explanatory capacity. This study contributes to the understanding of factors influencing training participation and provides actionable insights for educational institutions in the digital age.

Authors

Publication Details

Journal
Tạp chí Khoa học Trường Đại học Mở Hà Nội
Published
2025-06-02
DOI
https://doi.org/10.59266/houjs.2025.549
Primary Topic
Gender and Technology in Education
Type
article
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article

THE FACTORS AFFECTING STUDENTS' INTENTION TO PARTICIPATE IN TRAINING AND DEVELOPMENT PROGRAMS ON DIGITAL AND TECHNOLOGICAL SKILLS AT CAN THO UNIVERSITY OF TECHNOLOGY

Lorwai Tan
Tạp chí Khoa học Trường Đại học Mở Hà Nội
Gender and Technology in Education
article

THE FACTORS AFFECTING STUDENTS' INTENTION TO PARTICIPATE IN TRAINING AND DEVELOPMENT PROGRAMS ON DIGITAL AND TECHNOLOGICAL SKILLS AT CAN THO UNIVERSITY OF TECHNOLOGY

Lorwai Tan
article en

Abstract

This study investigates the factors affecting students' intention to participate in training and development programs on Digital and Technological skills at Can Tho University of Technology. Using a survey of 339 students, the study employs reliability testing, exploratory factor analysis (EFA), and Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. The results reveal that Cost and Time, Expected Benefits, and Learning Environment significantly and positively impact students' intention to participate, while Perceived Importance of Digital Skills, Confidence in Learning Digital Skills, and Support from University and Family show no statistically significant effects. The model explains 59.1% of the variance in students' intention to participate, demonstrating a strong explanatory capacity. This study contributes to the understanding of factors influencing training participation and provides actionable insights for educational institutions in the digital age.

Tạp chí Khoa học Trường Đại học Mở Hà Nội
Openalex Percentile: Top 83%
Gender and Technology in Education
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