From the Performer to the Evaluator: Exploring the Effects of the Evaluation‐Explanation‐Comparison‐Based SVVR on Students' Vocal Music Appreciation and Singing Skills.
Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, es...
| Published in: | Journal of Computer Assisted Learning Vol. 41; no. 6; pp. 1 - 14 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
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Wiley-Blackwell
Dec2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189524204&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189524204 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2025 vid: 41 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 189524204 189524204 189524204 10.1111/jcal.70145 189524204 ppf: 1 ppct: 13 formats: tig: atl: From the Performer to the Evaluator: Exploring the Effects of the Evaluation‐Explanation‐Comparison‐Based SVVR on Students' Vocal Music Appreciation and Singing Skills. aug: au: Wang, Hai‐Jie Chen, Kai Wang, Youmei Liu, Chen‐Chen affil: Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan Hubei,, China sug: subj: Performing Arts Education Singing Evaluation Feedback Methods Virtual Reality Computer-Assisted Instruction User-Computer Interface Learning Methods Music Human Quasi-Experimental Studies Pretest-Posttest Design Motivation Self-Efficacy Critical Thinking Semi-Structured Interview Intrarater Reliability Content Validity T-Tests Analysis of Covariance Questionnaires Funding Source ab: Background: Vocal music is a multifaceted subject, as students not only need to master skills but also to appreciate and critically interpret the singing process. Conventional vocal music learning methods emphasise practice and feedback, but deeper learning often stems from reflective assessment, especially when students adopt the perspective of an evaluator, as this role enhances their understanding of evaluative criteria and sharpens their performance focus. However, students rarely have access to authentic evaluation experiences in real‐world settings since they are typically positioned as performers rather than evaluators. Objective: To address this challenge, this study introduces the spherical video‐based virtual reality (SVVR) technology that enables students to play the role of vocal evaluators in a highly realistic and immersive context. Nevertheless, without appropriate support, the immersive nature of virtual environments may lead learners to become disoriented and overlook knowledge acquisition. Thus, a structural scaffolding of Evaluation‐Explanation‐Comparison was proposed for SVVR to support effective reflection and assessment. Method: A quasi‐experimental study was conducted to investigate the effectiveness of the approach with a total of 28 students recruited as the experimental group, while 27 students were in the control group. Results and Conclusions: The results showed that the method significantly improved students' vocal music appreciation scores and singing skills, as well as their learning motivation, self‐efficacy and critical thinking. Furthermore, this study explored learners' feelings and experiences under different methods through interview analyses. This innovative approach offers a creative pathway for vocal music education, highlighting the potential of leveraging technology and new instructional frameworks to promote students' assessment and enhance learning outcomes. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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