Evaluasi Pembelajaran IPAS Berbasis Artificial Intelligence untuk Meningkatkan Kualitas Asesmen Peserta Didik MI

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed various aspects of education, particularly learning evaluation systems. In Natural and Social Sciences (IPAS) learning at Madrasah Ibtidaiyah (Islamic elementary schools), assessment is expected not only to measure learning outcomes but also to evaluate students' competencies, critical thinking skills, problem-solving abilities, and scientific literacy. However, conventional assessment practices continue to face several challenges, including teachers' administrative workload, limited opportunities to provide timely feedback, and inadequate measurement of higher-order thinking skills. This study aims to analyze the implementation of Artificial Intelligence-based learning evaluation in improving the quality of student assessment in IPAS learning at Madrasah Ibtidaiyah. The research employed a qualitative approach using a library research design. Data were collected from scientific journal articles, academic books, conference proceedings, and educational policy documents discussing Artificial Intelligence, learning evaluation, digital assessment, and IPAS education. The data were analyzed using content analysis, involving data reduction, categorization, interpretation, and conclusion drawing. The findings reveal that Artificial Intelligence enhances assessment quality by supporting adaptive assessment, automating learning outcome analysis, providing immediate and personalized feedback, and generating comprehensive learning analytics to facilitate differentiated instruction. Furthermore, AI improves the objectivity, efficiency, and accuracy of assessment processes while reducing teachers' administrative responsibilities, enabling them to focus more on instructional improvement. Nevertheless, several challenges remain, including limited digital competencies among teachers, unequal technological infrastructure, and concerns regarding ethics, privacy, and data security. Therefore, successful implementation requires continuous professional development for educators, adequate digital infrastructure, and comprehensive educational policies that encourage the responsible and ethical integration of Artificial Intelligence into learning evaluation systems.