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Journal : Studies in Philosophy of Science and Education

The Effects of Problem Solving on Students' Cognitive, Affective, and Psychomotor in Applied Mathematics Sriatun, Sriatun; Ekohariadi, Ekohariadi; Sumbawati, Meini Sondang; Anistyasari, Yeni; Saphira, Hanandita Veda
Studies in Philosophy of Science and Education Vol. 5 No. 2 (2024): July
Publisher : National Dong Hwa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46627/sipose.v5i2.316

Abstract

This study aims to ascertain the impact of problem solving on the knowledge, attitudes, and skills of pupils acquiring mathematics in Bojonegoro's technology and engineering vocational schools. In accordance with the study's objectives, the Structural Equation Modeling analysis revealed that the effect of problem solving on knowledge aspects of mathematics learning for Vocational High School students was significant, whereas the effect of problem solving on attitudes in mathematics learning at Vocational High Schools in technology and engineering was insignificant. whereas the effect of problem solving on talents is notably positive. The implication of this study is that the effect of problem solving in applied mathematics learning can enhance the cognitive abilities and skills of vocational high school students in the concentration of motorcycle business engineering expertise, and can assist mathematics teachers in integrating mathematics material with the concentration of student expertise in order to meet the learning needs of students.
Human Versus Artificial Intelligence in Creative Physics Thinking: A Philosophical Reflection on Learning and Cognition Sofita, Mita; Damarsha, Adrian Bagas; Prasetya, Joenathan Eka; Yuliatin, Elisa Dwi; Rahma, Nur Fitri; Suprapto, Nadi; Jauhariyah, Mukhayyarotin Niswati Rodliyatul; Saphira, Hanandita Veda
Studies in Philosophy of Science and Education Vol. 5 No. 3 (2024): November
Publisher : National Dong Hwa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46627/sipose.v5i3.676

Abstract

The rapid advancement of artificial intelligence (AI) has led to its increasing integration into education, including in subjects like physics that require high-level cognitive skills. This study compares human responses with those generated by AI models (ChatGPT and DeepSeek) to physics problems designed to measure creative thinking skills, while exploring the philosophical patterns in AI reasoning as a reflection of human cognition. Using a qualitative-comparative method, responses were analyzed based on fluency, elaboration, originality, and flexibility, focusing on the concept of moment of inertia within the traditional "Kekehan" game. Findings show that while AI responses demonstrated structured reasoning and elaboration, human answers were more contextually relevant and original, rooted in experience. DeepSeek produced more detailed responses than ChatGPT, but both showed tendencies toward generalization. The results indicate that AI, though useful as a support tool, lacks the genuine creativity of human thinking. The study suggests that reliance on AI in education should be balanced with strategies that foster human creativity and critical thinking. Philosophical reflection is necessary to redefine AI's role in education, ensuring it complements rather than replaces human intellectual development.