Investigates the impact of integrating Artificial Intelligence (AI) in teaching biology at the secondary level in Islamabad
Keywords:
AI · Artificial intelligence, Science learning, Engineering students, Science education, STEM learningAbstract
Several aspects of the educational system, including teaching methods, evaluation techniques, and administrative procedures, are changing because of the application of artificial intelligence (AI). Additionally, it actively contributes to the advancement of science education. The goal of this systematic review is to provide a fundamental understanding of the empirically supported relationship between science education and artificial intelligence. This study provides a comprehensive examination of how AI affects learning results for students, adoption scenarios, views of AI by students and teachers, and the difficulties associated with its application in science education. The study intends to investigate how AI-powered resources might improve biology students' performance, comprehension, and engagement. With an experimental group employing AI-assisted learning modules and a control group receiving conventional teaching, a quasi-experimental design was used. Questionnaires, student interviews, and pre- and post-tests were used to gather data. According to the research, integrating AI might greatly enhance student learning results, especially when it comes to conceptual knowledge and problem-solving abilities. For widespread adoption, however, issues like teacher preparation and technological availability must be resolved.
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