Validation of technology acceptance model for virtual reality usage in collaborative learning to enhance learner performance

被引:1
|
作者
Guo, Huifen [1 ,3 ]
Ma, Fenggi [1 ]
Zhou, Zhen [2 ]
机构
[1] Guangzhou Univ, Sch Educ, Guangzhou, Peoples R China
[2] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou, Peoples R China
[3] Guangzhou Univ, Sch Educ, 230 Waihuan West Rd,Higher Educ Megactr, Guangzhou 510006, Guangdong, Peoples R China
关键词
Collaborative learning; virtual reality; learner performance; technology acceptance model; HIGHER-EDUCATION; USER ACCEPTANCE; PERCEPTIONS; EXPERIENCES; STUDENTS; SCRIPT;
D O I
10.1080/14703297.2024.2307994
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The growing influence of technology has prompted numerous scholars to explore how virtual reality (VR) affects performance. This study aims to validate the technology acceptance model (TAM) for VR in collaborative learning to enhance performance. We employed a questionnaire for data collection, distributed to 423 master's students in China engaging in VR-based collaborative learning. We employed partial least squares structural equation modelling (PLS-SEM) to analyse the data. The findings reveal that perceived usefulness and ease of use positively influence the intention to use VR and engage in collaborative learning. Furthermore, the intention to use VR and collaborative learning positively affect learner performance. Notably, habit does not significantly moderate the relationship between the intention to use VR and learner performance. Therefore, the proposed model can serve as a valuable tool for educators and decision-makers, aiding in the development of strategies to encourage students to use VR for enhanced performance.
引用
收藏
页码:429 / 443
页数:15
相关论文
共 50 条
  • [1] Using virtual reality for dynamic learning: an extended technology acceptance model
    Stephanie G. Fussell
    Dothang Truong
    Virtual Reality, 2022, 26 : 249 - 267
  • [2] Using virtual reality for dynamic learning: an extended technology acceptance model
    Fussell, Stephanie G.
    Truong, Dothang
    VIRTUAL REALITY, 2022, 26 (01) : 249 - 267
  • [3] Accepting virtual reality for dynamic learning: an extension of the technology acceptance model
    Fussell, Stephanie G.
    Truong, Dothang
    INTERACTIVE LEARNING ENVIRONMENTS, 2023, 31 (09) : 5442 - 5459
  • [4] Augmented Reality and Virtual Reality for Learning: An Examination Using an Extended Technology Acceptance Model
    Jang, Jaehong
    Ko, Yujung
    Shin, Won Sug
    Han, Insook
    IEEE ACCESS, 2021, 9 : 6798 - 6809
  • [5] User Acceptance of Virtual Reality: An Extended Technology Acceptance Model
    Sagnier, Camille
    Loup-Escande, Emilie
    Lourdeaux, Domitile
    Thouvenin, Indira
    Valléry, Gérard
    International Journal of Human-Computer Interaction, 2020, 36 (11): : 993 - 1007
  • [6] User Acceptance of Virtual Reality: An Extended Technology Acceptance Model
    Sagnier, Camille
    Loup-Escande, Emilie
    Lourdeaux, Domitile
    Thouvenin, Indira
    Vallery, Gerard
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2020, 36 (11) : 993 - 1007
  • [7] Collaborative Augmented Reality: A Proposed Technology Acceptance Model
    Suwadi, Nur Asylah
    Lam, Meng Chun
    Elias, Nur Fazidah
    Abd Majid, Nazatul Aini
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (04) : 598 - 607
  • [8] Using simulation system for collaborative learning to enhance learner's performance
    Zulfiqar, Salman
    Zhou, Rongting
    Asmi, Fahad
    Yasin, Affan
    COGENT EDUCATION, 2018, 5 (01):
  • [9] Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study
    Wang, Ellen Y.
    Qian, Daniel
    Zhang, Lijin
    Li, Brian S-K
    Ko, Brian
    Khoury, Michael
    Renavikar, Meghana
    Ganesan, Avani
    Caruso, Thomas J.
    JMIR MEDICAL EDUCATION, 2024, 10
  • [10] The use of Virtual Reality technology to enhance e-learning
    Mak Kai-Long
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ENGINEERING, SCIENCE, AND APPLICATIONS (ICESA), 2017, 1 : 30 - 38