Exploring The Impact of Artificial Intelligence in Teaching of Biology at Secondary Level
Keywords:
AI · Artificial intelligence , Science education , Machine learning , Science learningAbstract
AI is already causing changes across various aspects of the education system including instruction delivery, student evaluation or assessment, and management. The organisation also actively participates in the advancement of science learning. This systematic review aims to provide a priori interpretation of the empirical research relationship between AI and science education. This study provides a synthesis of the current state of research on the effectiveness of AI interventions on learner outcomes, the contexts in which AI has been introduced in science education, and the experiences and perceptions of students and teachers on AI use at school, and the difficulties of using AI in these contexts. Thus, 74 records were included in the present systematic analysis. The study showed that, to obtain different educational and instructional outcomes in science, the teacher uses AI tools and applications. The conclusion that was arrived at from this paper has implications for teachers, education administrators as well as policy makers. Education is a fast growing and developing field whose ongoing change is influenced by technological growth, especially AI. In the context of secondary education, biology poses certain difficulties, for instance, how to explain cell biology, genetics, structures of different types of ecological interconnections. The potential of using AI in the teaching of biology is what this study aims to unearth through effective use of technology where it can be applied to provide customized learning experiences, tests and quizzes and even simulators. In that regard, the study seeks to compare the current teaching and learning models that rely on the application of AI with the conventional modes of learning and teaching with the intention of comparing the amount of interest and understanding displayed by learners, as well as the levels of performance. Based on research findings, the work will advance the existing discussion on the application of AI in STEM education and present practical recommendations for educators, policymakers, and technology stakeholders. This paper pursues the research question of occasions that led to the usage of artificial intelligence. In implementing the instructional management and learning process in secondary education of model college Islamabad. It examines educational impacts of new technologies on how students learn and how institutions instruct and change. New technological innovations and the progressive peregrinator have called for Improved and more effective ways of determining performance. To analyse the future or future nature of higher education with special reference to artificial intelligence system in our colleges. We identify some directions for further research as we look at several of the challenges for institutions of secondary education and student learning in the adoption of these technologies for teaching, learning, student support and administration.
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