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All Journal MASALIQ: Jurnal Pendidikan dan Sains
Mutiara Salsabila Warman
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Religion Education Social Sciences

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Kualitas Soal Evaluasi Mata Pelajaran Biologi SMA yang Dikembangkan Menggunakan Gemini AI dengan Analisis Rasch Model Mutiara Salsabila Warman
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.9548

Abstract

The limited variety of items in the item bank remains an obstacle for Biology teachers in developing quality learning evaluations, even though the items used should be measured empirically for their quality and validity in order to provide comprehensive evaluation results. This study aims to examine the quality of senior high school Biology test items developed through Gemini AI. This study employed a quantitative descriptive approach by utilizing primary data from one class at SMA Pembangunan Laboratorium UNP. The research stages included item development using AI, content validation by experts, item tryout, answer collection and scoring, and item quality analysis. The results showed that the senior high school Biology evaluation items generated by Gemini AI and analyzed using the Rasch Model had fairly good quality, although improvements were still needed in several specific item quality indicators. These findings indicate that the use of Gemini AI can support teachers in developing and evaluating Biology test items more systematically. This study affirms that the use of Gemini AI has the potential to become an effective alternative in item quality analysis, while also providing practical implications for teachers to utilize similar technology in developing evaluation items in various subjects in order to obtain more reliable and higher-quality instruments. Keywords: Biology; Gemini AI; Item Quality; Rasch Model; Learning Evaluation
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