Comprehensive Review on Technology-Based Learning Using Artificial Intelligence for Science Subjects and Its Implications in Teaching and Learning

Authors

  • Adli M Department of Physics, Faculty of Science and Mathematics, Sultan Idris Education University, 35900 Tanjong Malim, Perak, Malaysia.
  • Suriani Abu Bakar Department of Physics, Faculty of Science and Mathematics, Sultan Idris Education University, 35900 Tanjong Malim, Perak, Malaysia.
  • Mohd Mokhzani Ibrahim Department of Chemistry, Faculty of Science and Mathematics, Sultan Idris Education University, 35900 Tanjong Malim, Perak, Malaysia
  • Azzam AB Department of Physics, Faculty of Science and Mathematics, Sultan Idris Education University, 35900 Tanjong Malim, Perak, Malaysia.
  • Fatiatun Department of Physics Education, Faculty of Tarbiyah and Teacher Training, Universitas Sains Al-Qur’an, Wonosobo, Indonesia
  • Hamdan Hadi Kusuma Department of Physics Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang, Semarang, Indonesia
  • Dwandaru WSB Department of Physics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Colombo St., Karangmalang, Yogyakarta, 55281, Indonesia
  • Muhammad Dhanil Department of Physics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia.

DOI:

https://doi.org/10.37134/ejsmt.vol11.2.12.2024

Keywords:

Artificial Intelligence, Science Education, physics teaching

Abstract

Awareness of technological advancements in education is crucial to ensure that teaching and learning methods are more relevant and effective. Artificial intelligence (AI) is a new emerging technology in education, enabling computers to have human-like cognition. However, research on the effectiveness of AI technology in teaching and learning (TaL) science subjects is still limited. This literature review aims to identify trends, impacts, and challenges of AI implementation in science learning. The review employs a systematic review method consisting of four steps: framing research questions, searching for relevant articles or journals, reading and analyzing abstracts, and extracting information from the articles or journals. A total of 30 articles were reviewed in this study. The results of the review indicate that AI provides a positive effect on learning. A popular trend in the use of AI technology in science learning is chatbot from ChatGPT. The impact of applying AI in science education includes student motivation and engagement, understanding complex and abstract concepts, improving the quality of science education, personalized learning, and its use in assessment and testing. Challenges in the application of AI in science education include lack of teacher-student interaction, high dependence on AI technology, lack of teacher training, adaptation, and integration of AI technology in the curriculum, variations in accessibility and quality, and ethical challenges. AI has a great opportunity to be implemented in support of science learning, considering its impact and challenges. In general, AI has a significant influence on supporting better learning.

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Published

2024-10-21

How to Cite

Adli, M., Suriani, A. B., Ibrahim, M. M., Azzam, A. B., Fatiatun, Kusuma, H. H., Dwandaru, W. S. B., & Muhammad Dhanil. (2024). Comprehensive Review on Technology-Based Learning Using Artificial Intelligence for Science Subjects and Its Implications in Teaching and Learning. EDUCATUM Journal of Science, Mathematics and Technology, 11(2), 109–122. https://doi.org/10.37134/ejsmt.vol11.2.12.2024