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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA)
Asna Mardin
SDN 19 Paninjauan
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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STEM-Based HOTS Digital Assessment Model in Measuring Higher-Order Thinking Skills of Prospective Teacher Students Dini Ramadhani; Ary Kiswanto Kenedi; Muhammad Febri Rafli; Hanif Harahap; Asna Mardin
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12812

Abstract

This study aims to develop a valid digital assessment model using a STEM-based approach to effectively measure higher-order thinking skills (HOTS) among prospective elementary school teachers. The research employed a Research and Development (R&D) method, adapted from the Borg & Gall model, involving expert validation, preliminary field testing, and main field testing at Universitas Samudra’s Elementary Teacher Education program. Instrument validity was examined through the Kaiser-Meyer-Olkin (KMO) test and correlation analysis among indicators. The results showed that the developed model achieved high validity, with strong KMO values and significant indicator correlations, confirming its construct soundness. Additionally, the model enabled real-time feedback, enhancing students’ conceptual understanding and application of HOTS in STEM-related tasks. The discussion highlights how integrating technology and STEM principles into assessment design supports more interactive and reflective learning. The model also addressed challenges in traditional HOTS assessment, such as lack of immediacy and contextual relevance. In conclusion, the STEM-based HOTS digital assessment model provides an effective and practical tool for evaluating prospective teachers' higher-order thinking, offering significant implications for improving teacher education and elementary classroom practices.
An Adaptive and Differentiated Digital Assessment Model to Measure Elementary Students' Character Values Using an Ethnosocial Approach in Science and Social Studies Learning Asnawi; Ary Kiswanto Kenedi; Tengku Muhammad Sahudra; Dini Ramadhani; Asna Mardin
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12855

Abstract

Character assessment in science and social studies in elementary schools still faces various obstacles, particularly regarding the limited instruments available to accommodate differences in student characteristics and their social and cultural contexts. The main objective of this study was to develop a valid and effective Differentiated Adaptive Digital Assessment model to measure character values using an ethnosocial approach in elementary school students in science and social studies learning. This study used the Research and Development (R&D) method with the following stages: information gathering, model planning, prototype development, expert validation, preliminary field testing, and main field testing. Data were collected through interviews, observations, questionnaires, and documentation, and analyzed descriptively and inferentially. The results showed that the developed model was valid in content and construct and highly reliable (α > 0.85). All components of the model, from the character assessment rubric, ethno-social contextual tasks, adaptive digital platform, to the implementation guide, significantly contributed to measuring students' character values fairly and meaningfully. This study contributes to developing technology-based character assessment that is inclusive and culturally relevant at the elementary education level.
Validation of an Innovative Learning Model: Deep Learning Based on Eco-STEAM and Edutainment for Elementary School Science Education Melva Zainil; Ary Kiswanto Kenedi; Nurfarhanah; Syafri Ahmad; Asna Mardin
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12871

Abstract

Science education at the elementary school level requires an approach that can improve conceptual understanding and higher-order thinking skills, such as computational thinking. A Deep Learning-based learning model integrated with Eco-STEAM and Edutainment has the potential to facilitate more in-depth, contextual, and engaging science learning. This study aims to test the validity of this learning model for application in elementary schools. The approach used is research and development (R&D) with validation techniques by three education experts through the first stage for initial assessment and the second stage after revisions based on expert input. The results show that the developed learning model obtained an average score of 148.4 out of 175 in the first stage (valid category) and increased to 160.9 in the second stage (highly valid category) after improvements were made to several model components. The discussion shows that this model effectively integrates deep learning with the Eco-STEAM approach and edutainment media, which supports students' understanding of science concepts while developing their CT skills and ecological awareness. This study implies that this model can be implemented in science learning in elementary schools, considering further revisions involving field implementation and adjustments to local characteristics and school infrastructure.
Co-Authors Asnawi Asnawi Hanif Harahap Kenedi, Ary Kiswanto Melva Zainil Muhammad Febri Rafli Nurfarhanah Nurfarhanah Ramadhani, Dini Sahudra, Tengku Muhammad Syafri Ahmad