影响加德满都谷地大学生电子学习行为意向和使用的因素

Sudip Pokhrel, Pitambar Acharya
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引用次数: 0

摘要

本研究旨在调查影响尼泊尔加德满都谷地大学生电子学习意向和行为的因素。本研究采用的研究框架是技术接受与使用统一理论(UTAUT)。与UTAUT相关的最常见因素包括社会影响、便利条件、习惯、绩效预期、努力预期、行为意向和使用行为。研究通过社交媒体平台,以封闭式问卷的形式收集了 385 名大学生的数据。使用 SPSS 25 版软件汇总了受访者的人口统计学信息,并使用 SmartPls 3 版进行了结构方程建模,以确定影响电子学习行为意向和使用行为的因素。数据分析显示,绩效预期、努力预期、便利条件、社会影响和习惯都会显著影响电子学习的行为意向,其中便利条件是最显著的因素。同样,习惯、有利条件和行为意向也对电子学习的使用行为有明显影响,其中有利条件是最重要的因素。这表明,当学生能使用各种技术设备并从教育机构获得足够支持时,他们更有可能使用电子学习工具。因此,大学应优先考虑电子学习的可及性、反馈机制以及与课程的无缝整合。同伴支持、技术援助和宣传电子学习的好处对于促进参与也至关重要。通过关注这些方面,可以优化电子学习的采用,从而提高加德满都谷地大学生的学业成绩和学习成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Influencing University Students’ Behavioral Intention and Use of eLearning in Kathmandu Valley
This study aims to investigate the factors influencing university students’ intention and behavior toward eLearning in Kathmandu Valley, Nepal. The research framework used in this study was the Unified Theory of Acceptance and Usage of Technology (UTAUT). The most common factors associated with UTAUT are social influence, facilitating conditions, habit, performance expectancy, effort expectancy, behavioral intention, and use behavior. Data were collected from 385 university students through a closed-ended questionnaire through social media platforms. The demographic information of respondents was summarized using SPSS version 25 software, while structural equation modeling was performed using SmartPls version 3 to identify the factors that influence behavioral intention and use behavior of eLearning. The data analyses revealed that performance expectancy, effort expectancy, facilitating conditions, social influence, and habit all significantly influence the behavioral intention of eLearning, with facilitating conditions being the most significant factor. Similarly, habit, facilitating conditions, and behavioral intention also significantly influence the use behavior of eLearning, with facilitating conditions as the most significant factor. It suggests that students are more likely to utilize eLearning tools when they have access to various technical devices and receive sufficient support from educational institutions. Therefore, universities should prioritize accessibility, feedback mechanisms, and seamless integration of eLearning into curricula. Peer support, technical assistance, and promotion of the benefits of eLearning are also essential for fostering engagement. By focusing on these aspects, eLearning adoption can be optimized, leading to improved academic performance and learning outcomes among university students in Kathmandu Valley.
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