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

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.