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The Urgency of STEM Learning Approach in Improving Students' Creative Thinking and Collaboration Skills Gunawan, Ichwan Zarkasi Brillyano; Gita, Rina Sugiarti Dwi; Kustiyowati
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.11890

Abstract

This study analyzes the urgency of the STEM (Science, Technology, Engineering, and Mathematics) learning approach in improving students' creative thinking and collaboration skills. Using the Systematic Literature Review (SLR) method with PRISMA protocol for transparency, this study conducted a bibliometric analysis of 52 relevant international journal publications from Scopus. Data visualization, including network analysis using VOSviewer, showed that STEM is a highly concentrated central concept, indicating significant relevance and research interest. The creativity and 21st century skills nodes were consistently closely connected to STEM, with a trend of rapidly increasing attention through 2023. The high density of the words "student" and "education" also confirms the research focus on the subject and context of learning. Collaboration, as an integral part of 21st century skills, reinforces the relevance of this discussion in the STEM context. This study validates the urgency of the STEM approach as an essential strategy to optimize students' creative thinking and collaboration skills, preparing them for the complexities and global challenges of the 21st century.
The Pengembangan Model Pembelajaran MOOC Berbasis Kecerdasan Buatan (AI) untuk Meningkatkan Literasi Digital  Kustiyowati, Kustiyowati; Gita, Rina Sugiarti Dwi; Permatasari, Annisaa Dwi Ayu; Gunawan, Ichwan Zarkasi Brillyano
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.12952

Abstract

This study develops and implements a novel Artificial Intelligence (AI)-based MOOCs learning model specifically designed to enhance students’ digital literacy in higher education. Unlike previous studies that focused mainly on content delivery or platform usability, this research integrates adaptive AI algorithms and personalized feedback features into MOOCs to foster more effective and measurable digital literacy development. Using a Research and Development (R&D) approach, the process comprised needs analysis, planning, prototype design, field trials, revisions, and dissemination. The research involved 135 students. Data were collected through observations, questionnaires, interviews, and documentation, and analyzed using both quantitative and qualitative methods. The findings reveal that the AI-based MOOCs model significantly improved students’ digital literacy across all testing phases, with consistent gains shown by the 135 participating students. User feedback confirmed that the model is efficient, adaptive, and practical for classroom application. Furthermore, dissemination activities received a positive response from institutions, lecturers, and students, highlighting its potential for wider adoption. The study concludes that the proposed AI-enhanced MOOCs model provides a scalable and sustainable framework for strengthening digital literacy in higher education, offering empirical evidence for its broader institutional adoption.