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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) JPPS (Jurnal Penelitian Pendidikan Sains)
Permatasari, Annisaa Dwi Ayu
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics

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Effectiveness Test Digital Assessment based Moodle as a Digital Assessment Instrument for Measuring Science Literacy Skills for Junior High School Students Permatasari, Annisaa Dwi Ayu; Handayani, Rif'ati Dina; Siswati, Bea Hana; Bachtiar, Ahmad Adam
JPPS (Jurnal Penelitian Pendidikan Sains) Vol. 13 No. 1 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpps.v13n1.p29-41

Abstract

Objective: This study aims to test the effectiveness of Moodle-based Digital Assessment as an assessment instrument to measure scientific literacy possessed by junior high school students in Jember and Probolinggo, Indonesia especially on environmental pollution. Method: This type of research is development research with a 4D model that Defined, Designed, Developed, and Disseminated. The data analysis technique used descriptive analysis and calculation of scientific literacy.  Result: For the results small-scale trial, most students were in the high category. The results of the large-scale test for junior high school in Jember, Indonesia show most students in the medium category. The results of the large-scale test for junior high school in Probolinggo, Indonesia show most students in the high category. The results of this study prove Digital Assessment developed is very effective for measuring the scientific literacy of junior high school students, especially regarding environmental pollution. Novelty: Researchers have never previously conducted research that developed a Moodle-based Digital Assessment to measure the scientific literacy skills of junior high school students.
The Pengembangan Model Pembelajaran MOOC Berbasis Kecerdasan Buatan (AI) untuk Meningkatkan Literasi Digital  Kustiyowati, Kustiyowati; Gita, Rina Sugiarti Dwi; Permatasari, Annisaa Dwi Ayu; Gunawan, Ichwan Zarkasi Brillyano
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.v11i11.12952

Abstract

This study develops and implements a novel Artificial Intelligence (AI)-based MOOCs learning model specifically designed to enhance students’ digital literacy in higher education. Unlike previous studies that focused mainly on content delivery or platform usability, this research integrates adaptive AI algorithms and personalized feedback features into MOOCs to foster more effective and measurable digital literacy development. Using a Research and Development (R&D) approach, the process comprised needs analysis, planning, prototype design, field trials, revisions, and dissemination. The research involved 135 students. Data were collected through observations, questionnaires, interviews, and documentation, and analyzed using both quantitative and qualitative methods. The findings reveal that the AI-based MOOCs model significantly improved students’ digital literacy across all testing phases, with consistent gains shown by the 135 participating students. User feedback confirmed that the model is efficient, adaptive, and practical for classroom application. Furthermore, dissemination activities received a positive response from institutions, lecturers, and students, highlighting its potential for wider adoption. The study concludes that the proposed AI-enhanced MOOCs model provides a scalable and sustainable framework for strengthening digital literacy in higher education, offering empirical evidence for its broader institutional adoption.
Co-Authors Bachtiar, Ahmad Adam Bea Hana Siswati Gunawan, Ichwan Zarkasi Brillyano Kustiyowati, Kustiyowati Rif’ati Dina Handayani Rina Sugiarti Dwi Gita, Rina Sugiarti Dwi