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U-Teach: Journal of Young Physics Education Teacher
Published by Universitas Nurul Huda
ISSN : 27238156     EISSN : 27238164     DOI : https://doi.org/10.30599/u-teach
Core Subject : Science, Education, Social,
Education Energy Environmental Science Physics
U-Teach: Journal of Young Physics Education Teacher is a scientific journal published with the aim of facilitating academics and researchers to publish their research findings in the fields of Physics Education Innovation, Physics Learning Media and Scientific Research in the field of physics. U-Teach: Journal of Young Physics Teacher Education is a journal published by the STKIP Physics Education Study Program Nurul Huda. U-Teach will start appearing in June 2020 ie Vol. 1 No. 1 of 2020, with and regularly published twice per year in June and December. Focus articles that can be published on U-Teach Here are the details: 1. Physics Learning Innovation: models, strategies, approaches, development of teaching materials and media in learning physics. 2. Scientific research: physics experiments and physics development research.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 81 Documents
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Beyond Gameplay: Item-Level Diagnostics and Psychometric Rigor of Resonance Odyssey Stealth Assessment Nur Endah Susilowati; Fitria Arifiyanti; Putra Habib Dhitareka; Muhammad Fadhlan Aprianto; Aliya Dewi Rahmawati
U-Teach: Journal Education of Young Physics Teacher Vol. 7 No. 2 (2026): December Edition
Publisher : Pendidikan Fisika Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/g13b4q43

Abstract

Stealth assessment embeds educational measurement directly into gameplay to evaluate student competencies without disrupting the learning flow. However, ensuring the psychometric rigor of game-based instruments at the item level remains a crucial challenge. This study evaluated the psychometric properties and item-level diagnostics of a 30-item stealth assessment integrated into the educational board game Resonance Odyssey. Data were collected from 129 participants (N = 129) and analyzed using the Rasch measurement model via Winsteps 5.2.5.1. The analysis confirmed strong construct validity and unidimensionality, with 36.8% of the raw variance explained by the measure and a first residual contrast eigenvalue of 3.03 (6.4%). High internal consistency and item hierarchy were demonstrated by excellent item reliability (= 0.95, separation = 4.60) and good person reliability ( = 0.87, separation = 2.61). Wright map targeting showed an optimal alignment between student ability and task difficulty, indicated by a mean person measure of +0.03 logit. Local independence was fully satisfied, with maximum standardized residual correlation reaching only r = 0.47. Detailed item-level diagnostics identified four misfitting items (Q22, Q25, Q26, and Q30) characterized by high outfit mean square values (MNSQ > 3.0) and unexpected option endorsements by high-ability students. Overall, the findings demonstrate that while Resonance Odyssey provides a psychometrically rigorous framework for non-intrusive skill measurement, targeted revision of problematic distractors is essential to optimize its diagnostic precision.

Page 9 of 9 | Total Record : 81

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