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Enhancing Scientific Communication Skills of Pre-Service Science Teacher Through Guided Inquiry Learning on Basic Physics Laboratory Activities Abidin Pasaribu; Evelina Astra Patriot; Ahmad Fitra Ritonga; Saparini Saparini; Melly Ariska; Azizah Putri Berimah
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6560

Abstract

This study aims to describe the enhancement of students' science communication skills through the application of guided inquiry learning models in laboratory activities. The method used to describe science communication skills is to use pre-experiment research. The samples used in this study were 60 physics education students in the odd semester 2023/2024 who took basic physics practicum courses. The implementation of the guided inquiry learning model in the four meetings. The results of improving science communication skills were based on three indicators that researchers have limited. The result analysis used non-test instruments like observation sheets. The sub-scientific communication skills are: 1) searching information, 2) scientific writing, and 3) representing information. Based on the observation results, it was found that the application of the guided inquiry learning model can train students' science communication skills in sub-skills of seeking information with a percentage increase of 74%, sub-skills of scientific writing with a rise of 67% and sub-skills of representing information at an increase in percentage of 76%. Each average score on the third and fourth meetings shows that science communication skills are in the very skilled category
Enhancing Teacher Competence in Deep Learning–Oriented Instructional Design: A ChatGPT–Supported Training at SMPN 5 Indralaya Utara in the Era of Artificial Intelligence Ismet Ismet; Ahmad Fitra Ritonga; Imam Arif Pribadi; Frendi Ihwan Syamsudin
Unram Journal of Community Service Vol. 7 No. 1 (2026): March
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v7i1.1324

Abstract

The integration of Artificial Intelligence (AI) in education presents opportunities to enhance teacher competence and promote Deep Learning–oriented pedagogy. This study reports on a community service program conducted at SMP Negeri 5 Indralaya Utara, aimed at improving teachers’ skills in designing lesson plans that foster higher-order thinking and meaningful learning experiences with the support of ChatGPT. Ten teachers participated in a structured training program, which included pre-assessment, theoretical orientation, hands-on workshops, collaborative lesson plan development, mentoring, and post-assessment. Teachers’ understanding and application of Deep Learning principles were evaluated using pretest and posttest instruments, and the magnitude of improvement was measured using Normalized Gain (N-Gain). Results indicated an average N-Gain of 0.53, categorized as medium, demonstrating significant enhancement in formulating higher-order learning objectives, designing reflective and analytical activities, and utilizing AI to generate contextualized instructional materials. The findings highlight the effectiveness of practice-based, collaborative, and mentored training in improving both technological literacy and pedagogical skills. Moreover, teachers began transitioning from traditional knowledge-transfer approaches to constructivist, student-centered practices, positioning AI as a reflective pedagogical partner. This study provides evidence that structured professional development integrating AI can foster innovation, adaptability, and reflective instructional design, supporting Education 5.0 objectives and enhancing the quality of classroom learning experiences.