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All Journal Mandalika Mathematics and Educations Journal Unnes Journal of Mathematics Education Research
Nafa Nur Rakhima
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Mathematics

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Development of a Mathematical Reasoning Test for Prospective Mathematics Teachers SABRINA APRILIA; Elisa Mutiara Fatmadewi; Ahmad Taufik Hidayat; Nafa Nur Rakhima; Indah Maulidya; Nuriana Rachmani Dewi
Unnes Journal of Mathematics Education Research Vol. 1 No. 1 (2026): Learning Innovation
Publisher : Postgraduate, Universitas Negeri Semarang.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujmer.v1i1.58637

Abstract

This study aimed to develop a mathematical reasoning test that is valid, reliable, possesses good discriminating power, and has an appropriate level of item difficulty for assessing the mathematical reasoning ability of prospective mathematics teachers. A descriptive quantitative method was employed to examine the characteristics of nine test items in terms of validity, reliability, discriminating power, and item difficulty. The participants were 21 fourth-year students from Semarang State University. The findings indicated that all test items met the validity criteria, with a reliability coefficient of 0.75, which is classified as high. In terms of discriminating power, six items were categorized as good, while three items were classified as satisfactory. Regarding item difficulty, seven items were categorized as easy and two as moderate. Overall, the developed mathematical reasoning test is suitable for assessing the mathematical reasoning ability of prospective mathematics teachers, as it satisfies the criteria of validity, reliability, and good discriminating power. This study is expected to serve as a reference for the development of mathematical reasoning assessment instruments in higher education. Nevertheless, further research is recommended to refine the distribution of item difficulty, thereby producing an instrument with a more balanced and varied range of difficulty levels.
Uji Validitas dan Reliabilitas Instrumen Ketergantungan Kecerdasan Buatan untuk Mahasiswa Calon Guru Matematika Sabrina Aprilia; Elisa Mutiara Fatmadewi; Indah Maulidya; Ahmad Taufik Hidayat; Nafa Nur Rakhima; Nuriana Rachmani Dewi
Mandalika Mathematics and Educations Journal Vol 8 No 3 (2026): Edisi September
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i3.13021

Abstract

The use of Artificial Intelligence (AI) in academic activities has increased significantly, creating the need for a valid and reliable instrument to measure students' dependence on Artificial Intelligence. This study aimed to examine the validity and reliability of an Artificial Intelligence dependence instrument administered to 89 prospective mathematics teachers. The study employed a quantitative descriptive approach. The research instrument was a questionnaire consisting of 20 items covering five aspects: usage, feelings, usefulness, ease of access, and dependence on Artificial Intelligence. The instrument was adapted from an existing questionnaire and modified to suit the context of prospective mathematics teachers. Item validity was analyzed using the Pearson Product–Moment correlation, while reliability was evaluated using Cronbach's Alpha. The results indicated that all questionnaire items were valid. The reliability analysis yielded a Cronbach's Alpha coefficient of 0.78, which falls into the high reliability category, indicating that the instrument has good internal consistency. Therefore, the Artificial Intelligence dependence instrument was found to be valid and reliable, making it suitable for measuring the level of dependence on Artificial Intelligence among prospective mathematics teachers.
Co-Authors Ahmad Taufik Hidayat Elisa Mutiara Fatmadewi Indah Maulidya Nuriana Rachmani Dewi Nuriana Rachmani Dewi Sabrina Aprilia SABRINA APRILIA