Juniar Rasyid
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The Effectiveness of STAD-Type Cooperative Learning Model Based on Online Media in Comprehending Physics Concepts Juniar Rasyid; Eka Damayanti; Sudirman Sudirman; Rafiqah Rafiqah
JIPF (Jurnal Ilmu Pendidikan Fisika) Vol 8, No 1 (2023): January 2023
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jipf.v8i1.3070

Abstract

The concept comprehension of physics learning becomes the most important aspect that must be considered due to the conditions in the COVID-19 pandemic, the school implements online learning system that has potential to cause misconceptions among students. This research aims at finding out the effectiveness of STAD-type Cooperative Learning Model based on online media in comprehending physical concepts in class X MIA 1 SMAN 1 Tinambung. The research type is quasi-experiment that the data collection applied the concept comprehending test. The data were then analyzed using independent sample t-test. The results revealed that there was a difference in comprehending the concept among students who were taught using online media-based on the STAD-type in cooperative learning model with students who were taught using conventional learning based on online media. The results of effectiveness test conducted by comparing variance values showed that cooperative learning of STAD type effectively improved the concept comprehension. The findings in this study imply that the learning process during the Covid-19 pandemic can implement a media based on STAD-type cooperative learning model so that students still have appropriate comprehension of the learning material concept.
Pengaruh Penggunaan Al Generatif Terhadap Physics Learning Anxiety dan Motivasi Belajar Peserta Didik Rasyid, Juniar; Mawardi Jalil Masri; Sulfianty; Nurul Amalia Aris
Charm Sains: Jurnal Pendidikan Fisika Vol 7 No 2 (2026): JUNI (On Progress)
Publisher : Program Studi Pendidikan Fisika Jurusan Fisika Fakultas Matematika, Ilmu Pengetahuan Alam, dan Kebumian (FMIPAK), Universitas Negeri Manado

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Abstract

Physics learning anxiety is one of the psychological factors that influences the motivation and physics learning outcomes of high school students. This study aims to analyze the effect of generative AI use on students’ physics learning anxiety and learning motivation. The research employed a quasi-experimental method with a pretest–posttest control group design involving 60 high school students divided into experimental and control groups. The experimental group participated in learning activities using generative AI, while the control group received conventional instruction. The research instruments consisted of a physics learning anxiety questionnaire and a learning motivation questionnaire that had been tested for validity and reliability. Data were analyzed using appropriate statistical tests. The results show that the use of generative AI significantly reduces students’ physics learning anxiety and increases their learning motivation compared to conventional learning. These findings indicate that generative AI is effective as a learning medium that can reduce learning anxiety and enhance students’ motivation, and it has implications for its use as an innovative and adaptive learning medium in physics education.