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Rasch Model Dalam Evaluasi Instrumen Extraneous Cognitive Load Pada Media Pembelajaran Berbantuan Artificial Intelligence Iffa Ichwani Putri; Nurkhairo Hidayati; Ummi Kalsum; Suryanti Suryanti; Nurul Fauziah; Sepita Ferazona; Andri Hendrizal; Wiwit Yuli Lestari
Jurnal Kajian Pendidikan IPA Vol 6 No 1 (2026): Jurnal Kajian Pendidikan IPA
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jkpi.v6i1.43181

Abstract

Extraneous cognitive load (ECL) measurements are important to evaluate the quality of digital learning design, but self-report instruments need to be tested for psychometric quality. This study aims to evaluate students' ECL instruments using the Rasch model. Data was collected through a survey of 38 students using an ECL questionnaire containing 17 items with a Likert scale of 1–5, then analyzed with the Rasch Rating Scale Model to assess reliability-separation, fit items and persons, as well as targeting of persons through the Wright map, The results showed that mapping of person-items on a logit scale could be done, but the targeting was less optimal because the average person was far below the average of items. indicates low ECL dominance and limited item coverage at low range. Category diagnostics show a very uneven distribution of responses (categories 4–5 are hardly used), and the probability curve of categories that do not form a clear peak in the upper categories, so the 5 category scale function is not yet effective. It was concluded that the instrument could be used as an initial measurement of ECL, but it needed to be improved on some items and the addition of items to improve precision and interpretability.Keywords: AI, Biology, ECL, Learning Media, Technology.
Integrating Science, Technology, Engineering, and Mathematics in Digital Learning: The Effectiveness of an E-Module on Ecosystem Material in Secondary Schools Mona Kristina Simatupang; Suryanti Suryanti; Iffa Ichwani Putri; Siti Robiah; Nurul Fauziah
Edcomtech: Jurnal Kajian Teknologi Pendidikan Vol. 11 No. 2 (2026): On Progress
Publisher : Universitas Negeri Malang in collaboration with APSTPI and IPTPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um039v11i22026p236-250

Abstract

The integration of the Science, Technology, Engineering, and Mathematics (STEM) approach into digital learning has the potential to enhance the quality of biology instruction by providing contextual, interactive, and problem-oriented learning experiences. Although previous studies have developed STEM-integrated e-modules with high validity and practicality, empirical evidence regarding their effectiveness in improving learning outcomes through comparisons between instructional groups remains limited. This study aimed to examine the effectiveness and practicality of a STEM-integrated e-module on ecosystem topics for tenth-grade students at SMAN 2 Pekanbaru. A quasi-experimental method with a Nonequivalent Control Group Design was employed, involving 88 students, comprising 44 students in the experimental class and 44 students in the control class. Data were collected through a learning achievement test and practicality questionnaires completed by teachers and students. The data were analyzed using the Mann–Whitney test, normalized gain (N-Gain), and effect size (r). The results revealed a significant difference in learning outcomes between the experimental and control classes (p < 0.001). The experimental class achieved a higher mean N-Gain (0.564) than the control class (0.334), with an effect size of 0.39, indicating a medium practical effect. The practicality evaluation also showed highly practical results, with scores of 86% from teachers and 88% from students. These findings indicate that the STEM-integrated e-module is effective in improving students' learning outcomes while also being highly practical for biology instruction at the secondary school level.