Artificial Intelligence and Machine Learning in Educational Apps
The integration of Artificial Intelligence (AI) and Machine Learning (ML) in educational applications is transforming higher education by enhancing personalized learning, intelligent tutoring, and predictive analytics. This chapter explores AI-driven functionalities, including adaptive learning, NLP, and automated assessments, while addressing challenges such as data privacy, algorithmic bias, and accessibility. Through case studies, it highlights AIs transformative potential in shaping future education, offering insights for educators, researchers, and developers interested in AI-driven learning innovations. 2026 by IGI Global Scientific Publishing. All rights reserved.
George, Alwin T.; Gupta, Varuna; Mehndiratta, Vandana
Cutting-Edge Mobile Applications for Higher Education;pp.39-90
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.4018/979-8-3693-8287-5.ch002 https://www.scopus.com/pages/publications/105031914524?origin=resultslist
George A.T., Christ University, Bangalore, India; Gupta V., Christ University, Bangalore, India; Mehndiratta V., Christ University, Bangalore, India