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Ms. K. Punitha is an Assistant Professor in the Department of Computer Science and Engineering at Sathyabama Institute of Science and Technology, Chennai, India. Her academic background is in computer science and engineering. Her contribution to this volume explores AI-driven education, learning analytics, and personalised learning systems.
AI is revolutionising education with intelligent teaching systems, data-driven academic choices, learning analytics, and customised learning experiences. AI and educational technology can address these gaps through personalised material distribution, automated assessments, smart tutoring, student performance predicting, and early learning challenge identification. Artificial intelligence can help educators create exams, organise curricula, automate administrative duties, and identify educational gaps. AI-based education raises concerns about student privacy, algorithmic prejudice, digital disparities, data integrity, transparency, academic honesty, and overreliance on automated technologies. AI-enhanced education, learning analytics, and personalised learning principles, frameworks, algorithms, and limits are covered in this chapter. It proposes integrating educational data collection, predictive analytics, student profiling, adaptive teaching, and feedback. Proficient educational AI should help educators, develop student freedom, sustain human connection, and ensure fair access to meaningful learning activities.