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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; 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.
Systematic Literature Review: Strengthening Teacher Competence through Creative Project-Based STEAM Implementation in Physics Learning Suprapto, Nadi; Deta, Utama Alan; Fahmi, Muhammad Nurul; Dermawan, Dodik Arwin; Nurmalasari, Dewi; Hidaayatullaah, Hasan Nuurul; Monica, Elsa; Damarsha, Adrian Bagas; Citra, Nina Fajriyah
Studies in Philosophy of Science and Education Vol. 6 No. 3 (2025): November
Publisher : National Dong Hwa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46627/sipose.v6i3.717

Abstract

The STEAM (Science, Technology, Engineering, Arts, and Mathematics) approach is a new form of teaching that places students in real-world situations around them by following the concept of interdisciplinary teaching. STEAM is highly relevant in supporting students' 21st-century skills. As is well known, 21st-century skills encourage students' critical thinking, communication, collaboration, innovation, and creativity. In physics learning, it is not uncommon for students to have difficulty understanding the subject. Teachers, as learning facilitators, are expected to be able to integrate STEAM into physics education. Teachers must have the skills to develop learning tools. Through research using the SLR method, this study aims to investigate the importance of teachers' competencies in implementing project-based STEAM learning in physics education. Project-based learning emphasizes collaborative learning activities among heterogeneous groups of students. The analysis results show that the implementation of the STEAM approach in learning is still limited. Physics teachers are important agents in equipping students with the necessary physics knowledge and scientific investigation skills. Therefore, physics teachers need support in improving their understanding of STEAM. In learning activities involving project-based STEAM, it is known that it can increase students' creativity and innovation in problem solving.