Metaverse-Based Self-Regulated Learning in Nursing Dietary Education: Effects on Learning Achievement, Self-Efficacy, Critical Thinking Awareness, and Behavioral Patterns

A central goal of foundational dietary education is to enhance nursing students’ learning achievement, self-efficacy, and critical thinking awareness. However, providing personalized guidance in conventional instructional settings remains challenging. To address these limitations, the present study introduces a structured metaverse-based self-regulated learning framework designed to promote personalized, immersive, and contextually rich learning experiences in dietary education. A quasi-experimental study was conducted with 44 undergraduate nursing students enrolled in an introductory course on cancer-preventive dietary practices. Participants were assigned to either a metaverse-based self-regulated learning condition (experimental group) or a conventional 2D video-based instruction condition (control group). Findings indicate that students in the metaverse-based condition demonstrated significantly higher levels of learning achievement, self-efficacy, and critical thinking awareness than peers in the conventional instruction group. Exploratory behavioral analyses of the 22 experimental-group participants, categorized by a median split, suggested that learners with higher critical thinking awareness exhibited more structured, reflective, and proactive learning patterns, whereas those with lower awareness relied more on feedback-dependent strategies. Overall, metaverse-based self-regulated learning enhanced learning achievement, self-efficacy, and critical thinking awareness, while providing preliminary insights into learners’ behavioral patterns in nursing education.

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Publication Details

Journal
Journal of Educational Computing Research
Published
2026-09-04
DOI
https://doi.org/10.1177/07356331261486325
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Metaverse-Based Self-Regulated Learning in Nursing Dietary Education: Effects on Learning Achievement, Self-Efficacy, Critical Thinking Awareness, and Behavioral Patterns

Pei-Yu Cheng, Jordan Allison, Ching‐Yi Chang, Husni Mubarok
Journal of Educational Computing Research
Simulation-Based Education in Healthcare
article

Metaverse-Based Self-Regulated Learning in Nursing Dietary Education: Effects on Learning Achievement, Self-Efficacy, Critical Thinking Awareness, and Behavioral Patterns

Pei-Yu Cheng, Jordan Allison, Ching‐Yi Chang, Husni Mubarok
article en

Abstract

A central goal of foundational dietary education is to enhance nursing students’ learning achievement, self-efficacy, and critical thinking awareness. However, providing personalized guidance in conventional instructional settings remains challenging. To address these limitations, the present study introduces a structured metaverse-based self-regulated learning framework designed to promote personalized, immersive, and contextually rich learning experiences in dietary education. A quasi-experimental study was conducted with 44 undergraduate nursing students enrolled in an introductory course on cancer-preventive dietary practices. Participants were assigned to either a metaverse-based self-regulated learning condition (experimental group) or a conventional 2D video-based instruction condition (control group). Findings indicate that students in the metaverse-based condition demonstrated significantly higher levels of learning achievement, self-efficacy, and critical thinking awareness than peers in the conventional instruction group. Exploratory behavioral analyses of the 22 experimental-group participants, categorized by a median split, suggested that learners with higher critical thinking awareness exhibited more structured, reflective, and proactive learning patterns, whereas those with lower awareness relied more on feedback-dependent strategies. Overall, metaverse-based self-regulated learning enhanced learning achievement, self-efficacy, and critical thinking awareness, while providing preliminary insights into learners’ behavioral patterns in nursing education.

Journal of Educational Computing Research
Tamkang University (TW), University of Gloucestershire (GB), Universitas Negeri Surabaya (ID), Taipei Medical University (TW)
Ministry of Science and Technology, Taiwan
Quality Education
Openalex Percentile: Top 11%
Simulation-Based Education in Healthcare
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