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Nurhasanah
Universitas Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Integrasi Teknologi dan Psikometri: Pengembangan Alat Diagnostik Berbasis Aplikasi Menggunakan Model Partial Credit untuk Mengidentifikasi Miskonsepsi Siswa Nurhasanah; Zul Hidayatullah; Hajra Yansa; Moh. Badrus Sholeh Arif; Muh Asriadi
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12305

Abstract

Misconceptions in science learning remain a major barrier to students’ conceptual understanding, while traditional assessments often fail to detect them effectively. This study aimed to develop PhyTestApp, an app-based diagnostic tool that integrates the Partial Credit Model (PCM) under Item Response Theory (IRT) to uncover student misconceptions in science. A research and development design was employed, involving expert validation, limited trials, and psychometric testing. The two-tier items were designed to capture both factual knowledge and reasoning. Findings indicated that the instrument met psychometric requirements, with items demonstrating good fit and functioning across different levels of student understanding. Usability testing also showed positive responses from students and teachers regarding clarity, content relevance, and technical operation. Overall, PhyTestApp provides a reliable and practical diagnostic tool that facilitates immediate feedback and supports more targeted science instruction. These results highlight the potential of combining psychometric modeling with mobile technology to improve the quality of science education and more effectively address misconceptions in line with 21st-century learning goals.
Psychometric Properties of a Local Wisdom-Based Science Literacy Instrument for Primary School Students: An Item Response Theory Approach Nurhasanah; Tri Astari; Elvin Cahyanita; Nuriman
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.12973

Abstract

Science literacy is an essential competency for primary school students to face 21st-century challenges. However, few assessment tools combine strong psychometric quality with cultural relevance. This study aimed to examine the psychometric properties of a local wisdom–based science literacy instrument for primary school students within the Item Response Theory (IRT) framework. The instrument comprised 34 multiple-choice items aligned with science literacy indicators and was administered to 300 fourth-grade students from several schools in Jember, Indonesia. Expert judgment ensured content validity, while empirical analyses using QUEST and R Studio evaluated item performance. The results showed good model fit, excellent reliability (0.97), and well-balanced item difficulty levels, confirming the instrument’s ability to measure a wide range of student abilities. Person–item maps and item characteristic curves indicated high discriminative power and measurement precision. Embedding local wisdom elements enhanced cultural authenticity and student engagement in science learning. Overall, the instrument demonstrated strong psychometric and contextual validity, offering a reliable tool for assessing science literacy in primary education. Its application can help teachers identify learning needs and design culturally responsive instruction. Future studies should extend validation to broader cultural contexts and refine items for students with lower ability levels.
Co-Authors Elvin Cahyanita Hajra Yansa Moh. Badrus Sholeh Arif Muh Asriadi Nuriman Tri Astari Zul Hidayatullah