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All Journal Jurnal Inovasi Pendidikan dan Sains
Andi Saadilah
Indonesian Language Education Study Program, Faculty of Teacher Training and Education, Universitas Sembilanbelas November Kolaka, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Effectiveness of Artificial Intelligence and Data Literacy in Case-Based Learning on the Ability to Write Toulmin-Model Argumentative Essays Nurul Haeniah; Andi Saadilah
Jurnal Inovasi Pendidikan dan Sains Vol 6 No 3 (2025): December
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jips.v6i3.2713

Abstract

This study aims to examine the effectiveness of integrating Artificial Intelligence (AI) and data literacy in Case-Based Learning (CBL) on students’ ability to write argumentative essays using the Toulmin model. The research design used a pre-experimental One-Group Pretest-Posttest Design with 22 student participants. The data were collected through argumentative essay writing tests administered before and after the treatment, and analyzed using the Paired-Samples t-Test. The results of the study showed a significant increase between the pretest score (M=53.59) and the posttest score (M=71.27), with a Sig. (2-tailed) value of 0.000<0.05. All Toulmin indicators increased, especially backing (56.1%) and rebuttal (46.8%), indicating that students’ ability to construct arguments based on evidence and critical analysis became stronger. The study concludes that integrating CBL, AI (ChatGPT), and data literacy effectively strengthens students’ academic argumentative abilities while supporting learning outcomes aligned with Outcome-Based Education (OBE) and the demands of twenty-first-century skills.
Co-Authors Nurul Haeniah