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Development of an immersive simulator for improving student chemistry learning efficiency

Published: 20 October 2023 Publication History
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  • Abstract

    Virtual reality (VR) technology has been used for educational purposes in different learning contents during teaching and training. VR could improve users’ learning efficiency and motivation to study abstract concepts. This work designed a VR environment for chemistry education to support computer-mediated hands-on exercises, including Self-propagating high-temperature synthesis (SHS) and Electrode sheet fabrication (ESF). In our evaluation with 39 participants who wore heart beat measurement wearables, we compared the students’ performances in hands-on chemistry tasks, either with or without score-keeping and time-sensitive conditions. Accordingly, we designed questionnaires reflecting sixteen qualitative aspects (e.g., content, perspicuity, and interaction) and perceived user workloads. The experimental results indicate participants’ preferences and attitudes in terms of efficiency and sense of safety. 94.87% of participants reported that the learning simulator could improve learning efficiency, and 92.31% of the participants indicated that it can improve their sense of safety. The results of the data analysis show that the different learning scenarios we simulated have positive significance. Our findings shed light on the quality and learning performance of operational skills for chemistry education.

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    Cited By

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    • (2024)M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00104(539-543)Online publication date: 16-Mar-2024

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    cover image ACM Other conferences
    VINCI '23: Proceedings of the 16th International Symposium on Visual Information Communication and Interaction
    September 2023
    308 pages
    ISBN:9798400707513
    DOI:10.1145/3615522
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 October 2023

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    Author Tags

    1. Chemistry Learning
    2. Simulator
    3. Virtual reality

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    VINCI 2023

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    Overall Acceptance Rate 71 of 193 submissions, 37%

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    • (2024)M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00104(539-543)Online publication date: 16-Mar-2024

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