Adaptive Diagnostic Assessment Design through Google Forms Optimization and Jmetric to Detect Students' Mathematics Learning Difficulty Levels

Anggara, Benny and Wandari, Wily and Huda, Atika Nuril and Amin, Arip (2025) Adaptive Diagnostic Assessment Design through Google Forms Optimization and Jmetric to Detect Students' Mathematics Learning Difficulty Levels. Jurnal Sosioteknologi, 24 (2). pp. 175-189. ISSN 1858-3474

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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%.

Item Type: Article
Subjects: L Education > L Education (General)
Divisions: Fakultas Keguruan dan Ilmu Pendidikan > Pendidikan Matematika
Depositing User: Benny Benny Anggara
Date Deposited: 11 Aug 2025 02:41
Last Modified: 11 Aug 2025 02:41
URI: https://repositori.uskm.ac.id/id/eprint/42

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