Framework effect and achievement motivation on college students’ online learning intention–based on technology acceptance model (TAM) and theory of planned behaviour (TPB) model

The purpose of this study was to explore the factors of college students’ learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students is promoted. The study delves into the underlying factor influencing college students’ intention towards online learning. Moreover, it explores the specific impact of framework effect and achievement motivation on their online learning intention. Employing a convenient sampling technique, the study gathered responses from a sample of 468 students enrolled in a specific university. The findings reveal the successful establishment of a comprehensive model elucidating the factors influencing online learning intention. Notably, achievement motivation not only exerts a direct influence on learning intention, but also indirectly affects it through various factors within the online learning intention model, including learning attitude (LA), perceived ease of used (PEOU), and perceived usefulness (PU). Furthermore, these factors exhibit varying impacts on online learning intention within different message framing contexts. The study’s innovative and practical nature lies in its integration of the technology acceptance model (TAM) and theory of planned behavior (TPB) to establish a comprehensive model of online learning intention. By offering pertinent recommendations, the study aims to optimize the online learning methods of university educators and improve the quality of online instruction. By investigation the specific influence of achievement motivation and framing effect on online learning intention through this model, the study provides some feasible methods for educators to use the factor model to improve online learning intention of university students.

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Publication Details

Journal
Education and Information Technologies
Published
2024-12-24
DOI
https://doi.org/10.1007/s10639-024-13254-1
Citations
12
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
12.61

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article

Framework effect and achievement motivation on college students’ online learning intention–based on technology acceptance model (TAM) and theory of planned behaviour (TPB) model

Xiaoyu Zhou, Mengyao Jiang, Jiaxiu Liu, Hang Wang et al.
12 citations
Education and Information Technologies
Technology Adoption and User Behaviour
12.61
article

Framework effect and achievement motivation on college students’ online learning intention–based on technology acceptance model (TAM) and theory of planned behaviour (TPB) model

Xiaoyu Zhou, Mengyao Jiang, Jiaxiu Liu, Hang Wang, Jing Liao, Xiao Hou
article en
12 citations

Abstract

The purpose of this study was to explore the factors of college students’ learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students is promoted. The study delves into the underlying factor influencing college students’ intention towards online learning. Moreover, it explores the specific impact of framework effect and achievement motivation on their online learning intention. Employing a convenient sampling technique, the study gathered responses from a sample of 468 students enrolled in a specific university. The findings reveal the successful establishment of a comprehensive model elucidating the factors influencing online learning intention. Notably, achievement motivation not only exerts a direct influence on learning intention, but also indirectly affects it through various factors within the online learning intention model, including learning attitude (LA), perceived ease of used (PEOU), and perceived usefulness (PU). Furthermore, these factors exhibit varying impacts on online learning intention within different message framing contexts. The study’s innovative and practical nature lies in its integration of the technology acceptance model (TAM) and theory of planned behavior (TPB) to establish a comprehensive model of online learning intention. By offering pertinent recommendations, the study aims to optimize the online learning methods of university educators and improve the quality of online instruction. By investigation the specific influence of achievement motivation and framing effect on online learning intention through this model, the study provides some feasible methods for educators to use the factor model to improve online learning intention of university students.

Education and Information TechnologiesVol. 30(8)
Army Medical University (CN), Southwest Hospital (CN), Chongqing Medical University (CN)
Ministry of Education of the People's Republic of China, Chongqing Medical University, Fundamental and Frontier Research Project of Chongqing
Openalex Percentile: Top 2%
Technology Adoption and User Behaviour
12.61
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