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Enhancing Critical Thinking Through Coastal Culture-Based Differentiated Science Learning April Yanti, Fitri; Wikrama Wardana, Rendy; Khamis, Noorzana
Jurnal Inovasi Pendidikan IPA Vol. 11 No. 2: October 2025
Publisher : Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jipi.v11i2.88295

Abstract

The purpose of this study was to enhance critical thinking skills through the implementation of coastal culture-based differentiated science learning. The research was conducted from August to November 2024 using a quasi-experimental nonequivalent control group design at  State Junior High School 2 Bengkulu, Indonesia. The sample consisted of three eighth-grade classes: experimental group 1 (8A), experimental group 2 (8B), and the control group (8C), selected through purposive sampling. Students’ critical thinking skills were assessed using a validated and reliable test instrument (r = .89). Data were analyzed with one-way ANOVA, which revealed significant differences among groups (p < .001). The average N-gain score of critical thinking skills in experimental group 1 (.40, medium category) was higher than that of experimental group 2 (.20, low category) and the control group (.009, low category). Based on the hypothesis testing, it can be concluded that coastal culture-based differentiated science learning has a significant effect on students’ critical thinking skills (p < .001). These findings confirm that culturally contextualized differentiated learning significantly enhances critical thinking. Theoretically, this model contributes to science pedagogy by integrating cultural relevance to support effective, innovative instruction
The Influence of the 9E Learning Cycle with A STEM Approach on Students' Science Process Skills in Static Fluid Topics Alfian, M Ali; Parno, Parno; Wisodo, Hari; Khamis, Noorzana
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.8916

Abstract

This study investigated the effectiveness of integrating the 9E Learning Cycle Model with STEM approaches to enhance students' Science Process Skills (SPS) in static fluid concepts. The research employed a mixed-methods embedded experimental design with 32 senior high school students. Quantitative data were collected through pre- and post-tests, while qualitative data were gathered via observations and interviews. Results showed significant improvements across all SPS components, with N-gain values ranging from 0.63 to 0.64, indicating medium gains. Students demonstrated enhanced abilities in observing, classifying, measuring, inferring, predicting, and communicating scientific concepts. The integrated approach facilitated practical application of knowledge, as evidenced by students' work on flood-resistant garage prototypes and wave-powered electricity generators. Qualitative findings revealed increased student engagement and improved problem-solving skills. The study concludes that the integration of the 9E Learning Cycle Model with STEM approaches offers an effective framework for enhancing students' science process skills and their ability to apply these skills to real-world problems. These recommendations aim to provide a more comprehensive understanding of the approach's potential in science education across various domains and student populations
Automatic Assessment- Based Artificial Intellegent to Measure Students Environmental Literacy Yanti, Fitri April; Wardana, Rendy Wikrama; Buyung, Buyung; Heryensi, Elza; Khamis, Noorzana
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 7, No. 3, September 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v7i3.11240

Abstract

There is a need to measure the environmental literacy of secondary school students to promote awareness of environmental issues and provide sustainable solutions. Environmental literacy assessment is done using the UNESCO Criteria on Education and Culture Sustainable Development (ECSD). This study aimed to develop an automatic evaluation based on Artificial Intelligence (AABAI) to measure students’ environmental literacy in science subjects and environmental issues topics. This study uses the ADDIE development model, which includes analysis, design, development, implementation, and evaluation stages. The data were examined through both quantitative and qualitative approaches using Item Response Theory (IRT). Content validity of the AABAI instrument was confirmed through Aiken’s V analysis, indicating acceptable validity levels. All test items were deemed valid based on the Rasch model, considering item fit and difficulty parameters. The AABAI instrument has been implemented in educational settings and has successfully provided a comprehensive overview of junior high school students’ environmental literacy profiles. The use of AABAI as a transformative assessment can ensure that students care more about the environment and maintain environmental sustainability.