Virtual Reality technology is increasingly applied in education, providing unique opportunities for hands-on learning. However, existing VR learning environments often rely on static, one-way instruction, causing frustration when students face difficulties. Incorporating effective feedback mechanisms is essential, yet current VR systems lack adaptability for diverse student proficiency levels. This study explores the impact of personalized feedback within VR environments on learning outcomes. A quasi-experimental design involved 23 undergraduates, randomly assigned to an experimental group (N = 12) receiving personalised feedback based on their real-time learning status (high, medium, or low achievement), and a control group (N = 11) receiving static, uniform feedback. Participants completed a three-unit VR embedded systems course.Quantitative analyses, including Levene’s test and a t-test, assessed post-test score differences between groups. Results showed a statistically significant improvement (p < .05) in the experimental group, indicating personalized feedback positively influences learning.This research uniquely integrates personalized feedback into VR education, offering new insights for future educational VR applications.

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Personalized Feedback in VR Hands-On Learning: Tiered Support Based on Adaptive Learning Mechanisms

  • Chang Zhi Chen,
  • Yueh-Min Huang

摘要

Virtual Reality technology is increasingly applied in education, providing unique opportunities for hands-on learning. However, existing VR learning environments often rely on static, one-way instruction, causing frustration when students face difficulties. Incorporating effective feedback mechanisms is essential, yet current VR systems lack adaptability for diverse student proficiency levels. This study explores the impact of personalized feedback within VR environments on learning outcomes. A quasi-experimental design involved 23 undergraduates, randomly assigned to an experimental group (N = 12) receiving personalised feedback based on their real-time learning status (high, medium, or low achievement), and a control group (N = 11) receiving static, uniform feedback. Participants completed a three-unit VR embedded systems course.Quantitative analyses, including Levene’s test and a t-test, assessed post-test score differences between groups. Results showed a statistically significant improvement (p < .05) in the experimental group, indicating personalized feedback positively influences learning.This research uniquely integrates personalized feedback into VR education, offering new insights for future educational VR applications.