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All Journal Jurnal Pemberdayaan Masyarakat
Badarsila, Adinda Citra
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Social Sciences

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Artificial Intelligence-Based Assessment Training to Improve Teacher Competence Meilina, Ike Lusi; Maryani, Maryani; Ernasari, Ernasari; Badarsila, Adinda Citra; Nurhidayat, Rojabita Dwirgahayu; Kurniawan, Aditya
Jurnal Pemberdayaan Masyarakat Vol 5, No 1 (2026): Article in Press
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jpm.v5i1.683

Abstract

The integration of technology, particularly Artificial Intelligence (AI), into learning assessment plays a pivotal role in improving the effectiveness of education. However, the digital competence gap has caused teachers at MTs. Hidayatul Mubtadi’in Jember will still predominantly use conventional assessments. This community service program aims to improve teachers’ professional competencies in designing AI-based assessment instruments. The implementation method combines the development of 4D model materials (Define, Design, Develop, Disseminate) with Direct Instruction and Cooperative Learning model training, which 22 teachers followed. The evaluation instruments included an AI assessment guidebook validation sheet, competency tests, and participant satisfaction questionnaires. The results of the activity show that the developed AI Assessment Guidebook is valid, with a score of 82.00. The effectiveness of the training is evident from the high level of participant understanding, with an average post-test score of 88.67 and a participant satisfaction rating of 89.56 (Very Good). Implicitly, this training significantly contributed to developing teacher competency, as participants can now independently create a variety of questions and assessment rubrics using AI. This program recommends continuous technological adaptation to support the digital madrasah (Islamic school) ecosystem.
Co-Authors Aditya Kurniawan Ernasari, Ernasari Ike Lusi Meilina Maryani Maryani Nurhidayat, Rojabita Dwirgahayu