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Harnessing Computational Intelligence for Educational Transformation
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Author(s): C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), Arshita Chintalapalli (Stanley College of Engineering and Technology for Women, India)and Anindya Nag (Northern University of Business and Technology, Khulna, Bangladesh)
Copyright: 2025
Pages: 30
Source title:
Internet of Behavior-Based Computational Intelligence for Smart Education Systems
Source Author(s)/Editor(s): Mariya Ouaissa (Cadi Ayyad University, Morocco), Mariyam Ouaissa (Chouaib Doukkali University, Morocco), Hanane Lamaazi (College of Information Technology, UAE University, UAE), Mahmoud El Hamlaoui (Mohammed V University, Morocco)and Kishor Kumar Reddy C. (Stanley College of Engineering and Technology for Women, India)
DOI: 10.4018/979-8-3693-8151-9.ch006
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Abstract
The chapter explores opportunities for implementing Computational Intelligence (CI) in education through two primary perspectives: teacher-centric intelligence and student-centric intelligence. Within the realm of teacher-centric intelligence, we discuss the potential benefits of Intelligent Teaching Assistant Systems (ITAS), automated student assessment, Student Progress Analytics (SPA), and strategies for professional development and upskilling of educators. Transitioning to student-centric intelligence, we examine Intelligent Tutoring Systems (ITS), simulations and gamification, real-time feedback mechanisms leveraging NLP, EDM, and LA technologies, as well as accessibility tools aimed at promoting equity in education. Additionally, the paper addresses potential challenges and limitations of CI adoption in education, including ethical considerations, data privacy and security issues, infrastructure limitations, socioeconomic disparities, biases in AI models, and human factors in AIED implementation.
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