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Development Module Practical Based Experiments in Basic Science Courses Atika Anggraini; Ummiy Fauziyah Laili; Rizki Dwika Septiarini; Nia Ellia Malika; Arifin Saaf; Shahabuddin bin Hasyim
Journal of Natural Science and Integration Vol. 9 No. 1 (2026): Journal of Natural Science and Integration
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jnsi.v9i1.39018

Abstract

Basic Science learning requires practicum modules that facilitate systematic, structured, and learning-outcome-oriented experimental experiences. However, the modules used so far have not fully met the aspects of independent learning, clarity of work steps, and integration between concepts and practice. This study aims to develop experiment-based practicum modules for Basic Biology, Basic Physics, and Basic Chemistry using the 4D development model (Define, Design, Develop, and Disseminate). The development stage involved validation by five experts, namely experts in biology, physics, chemistry, media, and language, as well as student response tests. The data analysis method used in this study was descriptive quantitative analysis, involving calculating percentages of validation scores and student responses, which were then interpreted against predetermined validity criteria. The validation results showed a highly valid category across almost all aspects, with 88–93% in material validation, 88–95% in media validation, and 81% in student responses. The student response test involved 25 respondents, who were selected to assess the practicality and usability of the developed practicum module. Revisions were made based on validator input, such as improving image quality, refining language, and standardizing the practicum structure. Overall, the developed module was deemed feasible and effective as teaching material to support Basic Science practicum learning. This study also recommends further development through the integration of interactive digital media and trials on a larger scale. Keywords: development, experimental modules, basic science
A Bibliometric Analysis of Artificial Intelligence Plagiarism in Education Deiya Gama Ilyasa; Noer Fitria Putra Setyono; Ummiy Fauziyah Laili; Ainun Ni'mah; Ilyas Bintang Prayogi; Sles Nazy
Allimna: Jurnal Pendidikan Profesi Guru Vol. 4 No. 02 (2025): Allimna Vol. 04 No. 02
Publisher : LPTK UIN Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/allimna.v4i02.6796

Abstract

This study aims to map the development of research on plagiarism related to the use of Artificial Intelligence (AI) in education using a bibliometric approach. A total of 250 scientific articles with the keyword AI Plagiarism in education published between 2015 and 2025 were analyzed. Data extraction was conducted using Publish or Perish 8 software, sorting data by author keywords and abstract using Mendeley software, and bibliometric visualization using VOSviewer software. The findings reveal that plagiarism in educational contexts significantly affects academic integrity. The issue has become increasingly complex with the widespread use of generative AI platforms such as ChatGPT. The analysis also shows a strong correlation between plagiarism cases and academic integrity, ethics, and policy. Most studies in this field originate in Europe, North America, and certain parts of Asia, indicating a high level of academic concern about digital ethics. This research is expected to provide a comprehensive mapping of research trends, collaboration networks, and emerging themes, offering valuable insights for the formulation of academic policies responsive to technological advancements.