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All Journal Jurnal Sosioteknologi
Huda, Atika Nuril
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Engineering Social Sciences

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Desain Asesmen Diagnostik Adaptif melalui Optimalisasi Google Form dan jMetric untuk Mendeteksi Level Kesulitan Belajar Matematika Siswa Anggara, Benny; Wandari, Wily; Huda, Atika Nuril; Amin, Arip
Jurnal Sosioteknologi Vol. 24 No. 2 (2025): JULY 2025
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2025.24.2.3

Abstract

The level of difficulty students experience in learning mathematics can help teachers design learning activities that are appropriate for students' abilities and foster an independent learning environment. Google Forms and jMetric can be used as alternative software to construct adaptive assessments that accurately detect students' level of difficulty in learning mathematics and are easy to apply. The results of calibrating the content of the instrument with jMetric show that the overall instrument is in the “fairly good” category with a stratum of 2.81. Meanwhile, the development of adaptive assessments based on Google Forms is deemed valid in terms of website appeal and ease of use, with an average of 64.5%.
Co-Authors Arip Amin Benny Anggara Wily Wandari