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A Sustainability Innovation Experiential Learning Model for Virtual Reality Chemistry Laboratory: An Empirical Study with PLS-SEM and IPMA

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  • Chung-Ho Su

    (Department of Animation and Game Design, Shu-Te University, Kaohsiung 824, Taiwan)

  • Ting-Wen Cheng

    (Department of Animation and Game Design, Shu-Te University, Kaohsiung 824, Taiwan)

Abstract

This study focuses on serious virtual reality games, and how users can increase their understanding of the sustainable innovation learning (SIL) model and their familiarity with sustainable development strategies. “Users” of serious games consists of all possible target groups that are interested in attaining knowledge of sustainability through the use of games that are designed for a purpose beyond entertainment, in this case, for sustainable education. This research investigates the sustainable innovation experiential learning model by using a virtual chemistry laboratory to affect academic achievement. A questionnaire was completed by students who had used the virtual lab, and structural equation modeling (SEM) was applied for analysis. Importance-performance matrix analysis (IPMA) was able to help expand the basic partial least square (PLS)-SEM result with the fraction. The results show that experiential learning significantly affects learning motivation and academic achievement. Cognitive load and self-efficacy significantly affect learning motivation. Involvement significantly affects academic achievement. The virtual chemistry laboratory significantly affects academic achievement. Students who used the sustainability innovation experiential learning model obtained a better understanding of the chemical concepts. Moreover, a virtual lab promotes students’ motivation in regard to chemistry.

Suggested Citation

  • Chung-Ho Su & Ting-Wen Cheng, 2019. "A Sustainability Innovation Experiential Learning Model for Virtual Reality Chemistry Laboratory: An Empirical Study with PLS-SEM and IPMA," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1027-:d:206464
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    11. Amoah John & Nutakor Felix & Li Jinke & Jibril Abdul Bashiru & Sanful Benjamin & Odei Michael Amponsah, 2021. "Antecedents of social media usage intensity in the financial sector of an emerging economy: a Pls-Sem Algorithm," Management & Marketing, Sciendo, vol. 16(4), pages 387-406, December.
    12. Peng-Wei Hsiao & Chung-Ho Su, 2021. "A Study on the Impact of STEAM Education for Sustainable Development Courses and Its Effects on Student Motivation and Learning," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    13. Rita Yi Man Li & Beiqi Tang & Kwong Wing Chau, 2019. "Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    14. Wai Fang Wong & AbdulLateef Olanrewaju & Poh Im Lim, 2021. "Importance and Performance of Value-Based Maintenance Practices in Hospital Buildings," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
    15. Yi-Pin Huang & Xiao-Li Zheng & Chuang-Kai Chiu & Jun Lei & Gang Yang & Hoisoo Kim & Feng Wang, 2021. "Towards Figurative Expression Enhancement: Effects of the SVVR-Supported Worked Example Approach on the Descriptive Writing of Highly Engaged Students," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    16. Murni Zarina Mohamed Razali & Rossilah Jamil, 2023. "Sustainability Learning in Organizations: Integrated Model of Learning Approaches and Contextual Factors," SAGE Open, , vol. 13(1), pages 21582440231, February.

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