Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM

Digital maps have become important teaching and learning tools in education. However, limited research has examined the factors influencing learners’ acceptance of map-based online learning systems. This study proposes and validates an extended Technology Acceptance Model (TAM) that integrates two p...

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Main Authors: Wenhui Xu, Ke Zhu, Dongbo Zhou, Chunli Wang, Chaodong Wen
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Education Sciences
Subjects:
Online Access:https://www.mdpi.com/2227-7102/15/7/828
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author Wenhui Xu
Ke Zhu
Dongbo Zhou
Chunli Wang
Chaodong Wen
author_facet Wenhui Xu
Ke Zhu
Dongbo Zhou
Chunli Wang
Chaodong Wen
author_sort Wenhui Xu
collection DOAJ
description Digital maps have become important teaching and learning tools in education. However, limited research has examined the factors influencing learners’ acceptance of map-based online learning systems. This study proposes and validates an extended Technology Acceptance Model (TAM) that integrates two psychological constructs—habit and self-efficacy—into the original TAM framework to better explain students’ behavioural intention to use a map-based online learning system (Map-OLS). Structural equation modelling (SEM) was employed to analyse data from 812 participants with prior online learning experience. The results indicated that perceived ease of use (PEoU) and perceived usefulness (PU) had direct positive effects on the behavioural intention to use Map-OLS. PEoU positively affected PU and indirectly influenced behavioural intention to use Map-OLS via PU. Both habit and self-efficacy had significantly positive influences on PEoU and PU. Self-efficacy also directly influenced the behavioural intention to use Map-OLS. This study makes a theoretical contribution by extending and empirically validating TAM in the context of map-based learning environments, while also offering practical insights for designing more engaging and effective online learning systems.
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spelling doaj-art-b895bef6bf7145668e837461de5f8e8f2025-08-20T03:36:18ZengMDPI AGEducation Sciences2227-71022025-07-0115782810.3390/educsci15070828Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAMWenhui Xu0Ke Zhu1Dongbo Zhou2Chunli Wang3Chaodong Wen4Faculty of Education, Henan Normal University, Xinxiang 453007, ChinaFaculty of Education, Henan Normal University, Xinxiang 453007, ChinaFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaFaculty of Education, Henan Normal University, Xinxiang 453007, ChinaFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaDigital maps have become important teaching and learning tools in education. However, limited research has examined the factors influencing learners’ acceptance of map-based online learning systems. This study proposes and validates an extended Technology Acceptance Model (TAM) that integrates two psychological constructs—habit and self-efficacy—into the original TAM framework to better explain students’ behavioural intention to use a map-based online learning system (Map-OLS). Structural equation modelling (SEM) was employed to analyse data from 812 participants with prior online learning experience. The results indicated that perceived ease of use (PEoU) and perceived usefulness (PU) had direct positive effects on the behavioural intention to use Map-OLS. PEoU positively affected PU and indirectly influenced behavioural intention to use Map-OLS via PU. Both habit and self-efficacy had significantly positive influences on PEoU and PU. Self-efficacy also directly influenced the behavioural intention to use Map-OLS. This study makes a theoretical contribution by extending and empirically validating TAM in the context of map-based learning environments, while also offering practical insights for designing more engaging and effective online learning systems.https://www.mdpi.com/2227-7102/15/7/828online learningmap-based online learning systemtechnology acceptance modelstructural equation modelbehavioural intention
spellingShingle Wenhui Xu
Ke Zhu
Dongbo Zhou
Chunli Wang
Chaodong Wen
Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
Education Sciences
online learning
map-based online learning system
technology acceptance model
structural equation model
behavioural intention
title Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
title_full Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
title_fullStr Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
title_full_unstemmed Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
title_short Examining the Effects of Habit and Self-Efficacy on Users’ Acceptance of a Map-Based Online Learning System via an Extended TAM
title_sort examining the effects of habit and self efficacy on users acceptance of a map based online learning system via an extended tam
topic online learning
map-based online learning system
technology acceptance model
structural equation model
behavioural intention
url https://www.mdpi.com/2227-7102/15/7/828
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