ARTIFICIAL INTELLIGENCE IN EDUCATION: EXPLORE AI'S POTENTIAL TO ENHANCE TEACHING, LEARNING, AND ASSESSMENT

Abstract

The study 'Artificial Intelligence in Education: Exploring AI's Potential to Enhance Teaching, Learning and Assessment' depending on the HDCA approach sheds light upon how artificial intelligence could radically transform educational practices. The research goals center on AI for teaching methods, individualized learning experiences and assessment/feedback. Methods: We conducted semi-structured interviews (SSI) and focus group discussions (FGD) with 20 participants (4 educators, 8 students, and 6 AI/EdTech experts). Key outcomes suggest that AI software support teaching in numerous ways, primarily by automating manual preparation work and allowing the teachers to focus on their actual instruction. It personalizes learning environments, makes interactive applications to engage students and provides data-driven insights for adaptive teaching strategies. In AI-driven assessments, the personalization goes too far based on the student's response and they give almost an immediate feedback. Grading is automated for AI, productivity boosted and a wealth of data acquired about learning gaps. Additionally, because AI applies the same criteria and reduces human bias, it can ensure equal treatment. Education is one of the domains that stand to benefit from better integration with AI technologies, which have the potential to re-invent how teachers teach and students learn through intelligent tutoring systems using machine learning algorithms.