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All Journal Journal of Education Technology Jurnal Paedagogy
Nazir, Shah
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Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Other

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Design and Development of Virtual Reality Media on Computer System Learning to Enhance Students' Cognitive Abilities Wahyudin; Akbar, Anthonio; Nugraha, Eki; Riza, Lala Septem; Nazir, Shah
Journal of Education Technology Vol. 9 No. 2 (2025): May
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i2.94553

Abstract

The quality of education in Indonesia remains a significant concern, as reflected in the PISA survey, which ranks Indonesia 72nd out of 77 participating countries. One contributing factor is the limited development of Higher Order Thinking Skills (HOTS) among students, particularly in cognitive, psychomotor, and affective domains. This study aims to design and develop Virtual Reality (VR) media integrated with a Self-Directed Learning (SDL) model to enhance students' cognitive abilities in computer system learning. Employing a Research and Development (R&D) approach with the ADDIE model, this experimental research involved 33 students and applied a One Group Pre-test Post-test design. Data were collected through cognitive tests and student response questionnaires, and analyzed using paired sample t-tests and N-Gain calculations. The results indicated a significant improvement in students' cognitive abilities, with overall conceptual gains categorized as moderate and positive student responses toward the VR media. These findings suggest that SDL-based VR media can effectively foster students’ cognitive development, encourage active, independent learning, and serve as an innovative instructional solution to address educational quality challenges. The study implies that immersive technology integration, when paired with appropriate learning models, holds substantial potential in enhancing students' higher-order thinking skills in the digital era.
Development of a Drill-and-Practice Chatbot for Enhancing English Pronunciation through Interactive Dialogue Exercises Iskandar, Aysha Alia; Megasari, Rani; Nazir, Shah; Riza, Lala Septem
Jurnal Paedagogy Vol. 12 No. 4 (2025): October
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i4.17760

Abstract

This study aims to implement a drill and practice-based chatbot to improve English speaking skills, particularly in the aspect of pronunciation. The research employed a mixed-methods approach by combining the Research and Development (ADDIE) model with a quasi-experimental design using a pretest-posttest control group pattern. The participants consisted of 76 eighth-grade students from SMPN 5 Cirebon, divided into experimental and control groups. The instruments used included a pronunciation assessment rubric based on the Cambridge English Linguaskill Speaking Global Assessment Criteria, observation sheets, and student perception questionnaires. Data analysis was conducted through normality tests, the Wilcoxon Signed Rank Test, the Mann-Whitney U Test, and N-Gain calculation, complemented by qualitative analysis from observations and questionnaires. The findings revealed that the use of a drill and practice-based chatbot had a positive impact on improving students' pronunciation skills, although the improvement achieved remained merely in the low category, with an N-Gain score of 0.25. The chatbot was proven to provide broader, more flexible, and personalized practice opportunities for students, as well as facilitate instant feedback that is difficult to obtain in conventional learning. These results indicate that chatbots can serve as an effective supplementary medium in English language learning, particularly for practicing pronunciation both independently and in integration with classroom learning, suggesting the potential for further development and integration of chatbot technology in language education.
Co-Authors Akbar, Anthonio Eki Nugraha ISKANDAR, AYSHA ALIA Lala Septem Riza Rani Megasari Wahyudin