Evaluating Student Learning Outcomes in Virtual Reality Adaptive Chemistry

Authors

  • Mohammad Farid Machfudin Institut Sains dan Teknologi Terpadu Surabaya, Jl. Ngagel Jaya Tengah No.73-77, Surabaya, 60284 Indonesia
  • Esther Irawati Setiawan Institut Sains dan Teknologi Terpadu Surabaya, Jl. Ngagel Jaya Tengah No.73-77, Surabaya, 60284 Indonesia
  • Kevin Jonathan Halim Institut Sains dan Teknologi Terpadu Surabaya, Jl. Ngagel Jaya Tengah No.73-77, Surabaya, 60284 Indonesia
  • Joan Santoso Institut Sains dan Teknologi Terpadu Surabaya, Jl. Ngagel Jaya Tengah No.73-77, Surabaya, 60284 Indonesia
  • Agung Bella Putra Utama Universitas Negeri Malang, Jl. Semarang No.5, Sumbersari, Kota Malang, 65145 Indonesia
  • Gunawan Gunawan Institut Sains dan Teknologi Terpadu Surabaya, Jl. Ngagel Jaya Tengah No.73-77, Surabaya, 60284 Indonesia
  • Samuel Budi Wardana Kusum Universitas Negeri Semarang, Jl. Raya Banaran, Kota Semarang, 50229 Indonesia
  • Vrijraj Singh Agprop, Second floor, Passport seva kendra, Sub. Major Laxmi Chand Rd, Sector 18, Gurugram, Shahpur, Haryana 122015, India
  • Tong Nam Tuan Vu AI Engineer, Change Interaction, Cao Thang Street, Ward Ban Co, Ho Chi Minh City, 70000 Vietnam

DOI:

https://doi.org/10.17977/um048v31i22025p388-398

Keywords:

Adaptive Learning, Compound Structure, Virtual Reality, Learning Outcome Evaluation, Chemistry Education

Abstract

This study evaluates the effectiveness of a Virtual Reality (VR)–based adaptive learning application in enhancing high school students’ understanding of chemical compounds. The primary objective was to quantitatively assess the impact of the VR intervention on student learning outcomes across two distinct cohorts (N = 78). A pretest–posttest control-group design was employed, with two parallel groups (Group A and Group B) to ensure internal validity and comparability of results. The findings consistently indicate a marked contrast between the experimental and control conditions. Students in the control groups showed declines in performance, with negative learning gains of −8.32 and −15.20, suggesting learning loss when conventional instructional methods were used. In contrast, students exposed to the VR-based adaptive learning application demonstrated positive learning gains of +2.90 and +9.70, reflecting meaningful improvements in conceptual understanding. Further analysis of the intervention’s impact revealed effect sizes ranging from medium (Cohen’s d = 0.722) to very large (d = 2.182). These results indicate not only statistical significance but also substantial practical significance. Overall, the findings provide strong empirical evidence that the VR-based adaptive learning application is effective in preventing learning loss and significantly enhancing students’ understanding of chemical compounds when compared to traditional instructional approaches.

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Published

2025-12-30

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Articles