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All Journal Jurnal Pendidikan Indonesia Jurnal Ilmiah Pendidikan Fisika JIP: Jurnal Ilmu Pendidikan
Windrawan, I Gede
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Education Physics

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ANALISIS TINJAUAN LITERATUR TENTANG MENINGKATKAN SEMANGAT DAN PRESTASI BELAJAR KOGNITIF MELALUI PENERAPAN MODEL DISCOVERY LEARNING Windrawan, I Gede; Lukman El Hakim; Rizhal Hendi Ristanto
JIP: Jurnal Ilmu Pendidikan Vol. 2 No. 7 (2024): Juli
Publisher : CV. Adiba Aisha Amira

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Abstract

The objective of this study is to provide an overview of relevant literature regarding the enhancement of motivation and cognitive learning achievements among high school students in physics courses through the implementation of the Discovery Learning model. The research employs qualitative methods with a focus on literature review. The research process involves stages such as collecting, screening, presenting, discussing, and drawing conclusions from papers. The primary data source for this study comprises national journal articles published over the last five years (2018 to 2023). Among the identified articles, 10 out of 16 were found to align with the specified thematic focus. The application of the Discovery model in high school physics classes is executed in accordance with the referenced theoretical framework. Consequently, the implementation of the Discovery Learning model is shown to have a positive impact on increasing both motivation and cognitive learning outcomes for high school students in physics classes.
Bibliometric Analysis of STEM Robotics in Physics Education: Global Trends (2008-2024) Based on Scopus Data Windrawan, I Gede; Wibowo, Firmanul Catur; Sugihartono, Iwan
Jurnal Ilmiah Pendidikan Fisika Vol 8, No 3 (2024)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v8i3.13894

Abstract

This study aims to analyze global trends in STEM-based robotic physics education through a bibliometric analysis conducted using data obtained from the Scopus database. STEM and robotics are increasingly gaining attention as effective approaches in physics education, aligning with the 21st-century demand for technical skills, creativity, and problem-solving abilities. This research utilizes R bibliometric software to identify publication patterns, researcher collaborations, and key trends in STEM-based robotic physics education from 2008 to 2024. The methods involved searching for articles using the keywords "STEM AND robotic AND physics AND education," resulting in 53 downloaded and analyzed articles. The analysis was conducted in two main steps: data collection from Scopus and metadata analysis to identify research trends and collaboration networks among researchers. The results indicated a substantial growth in the volume of publications and international collaborations, with the United States leading in publication contributions, followed by Ukraine and Colombia. The key findings reveal that recent research trends focus on learning media and STEM. Meanwhile, topics that have received less attention include the impact of STEM on the curriculum and the development of critical thinking skills. Several topics, such as augmented reality and critical thinking, were also identified as challenging potential avenues for future research. This research offers significant guidance for future researchers in developing more effective STEM-based education strategies and suggests closer collaboration between academics and practitioners in various countries. Future research is recommended to explore alternative bibliometric analysis tools and expand the database coverage to enrich perspectives and enhance the scope of findings.
Collaborative Learning Based on Artificial Intelligence in Improving Intelligent-TPACK (Technological, Pedagogical, and Content Knowledge) in Teaching Practice Wijanarko, Tiok; Lestariningrum, Anik; Judijanto, Loso; Asmayani; Windrawan, I Gede; Parwoto
Jurnal Pendidikan Indonesia Vol 14 No 2 (2025): June
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpi-undiksha.v14i2.85929

Abstract

The rapid development of AI technology opens up new opportunities in education, but many teachers in Indonesia still lack understanding of the concept of TPACK and its implementation in the classroom, which has an impact on the low quality of learning. AI-based collaborative learning comes as an innovative solution to help teachers develop Intelligent-TPACK, which is the ability to effectively integrate technology in teaching practices through AI-powered collaboration. This study aims to identify the effect of AI-based collaborative learning on teachers' Intelligent-TPACK (Technological, Pedagogical, and Content Knowledge) in teaching practice. This study uses quantitativemethods with an experimental approach, the research design uses pretest-posttest with experimental groups. The sample used amounted to 100 respondents involving kindergarten teachers in Malang City. Data analysis using paired sample t-Test test. The results show that AI assists teachers in effectively integrating technology in teaching practice, improving technological, pedagogical and content skills. AI-based training programs can be an effective model for improving learning quality. The implications of this study show that AI-based training can effectively improve teachers' ability to integrate technology, improve learning quality, and prepare teachers to face the demands of the digital era.
Co-Authors Anik Lestariningrum Asmayani Firmanul Catur Wibowo Iwan Sugihartono Judijanto, Loso Lukman El Hakim Parwoto Rizhal Hendi Ristanto Wijanarko, Tiok