Integrating Artificial Intelligence (AI) in Teaching and Learning of Basic Science and Technology for Sustainable Development
Keywords:
Artificial Intelligence, Science Education, Student Engagement, Sustainable Development, Instructional InnovationAbstract
The use of Artificial Intelligence (AI) in education has become an innovative approach to improving teaching and learning, particularly in Basic Science and Technology. This article examines the role of AI in advancing educational practices and its implications for sustainable development. The study shows that science education is challenged by poor learner motivation, a lack of instructional differentiation and insufficient teacher competence, which limit the development of critical abilities in science. Guided by four major objectives, the project investigates how AI improves instructional delivery, boosts student engagement and educational attainment, supports teachers’ pedagogical involvement, and fosters sustainable development competencies. The paper demonstrates that AI-based applications such as responsive instructional platforms, AI tutors and data analytics enable customised, interactive and data-informed learning experiences, drawing on existing literature and grounded in Constructivist Learning Theory and the Technological Pedagogical Content Knowledge (TPACK) framework. These advances promote higher-order thinking, analytical problem-solving and innovation needed to meet today’s global challenges. The study also suggests that AI should be seen as a revolutionary instructional method rather than an additional tool. However, it is effective only if there are consistent policy frameworks, adequate infrastructure and sustained teacher capacity building. The study suggests that AI-enabled Basic Science and Technology education could be a key to developing learners’ competencies for sustainable development and to the transformation of education in the 21st century.
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