ItemBook Chapter

Data-driven education: Leveraging big data, AI, and machine learning for smarter learning environments

Title
Data-driven education: Leveraging big data, AI, and machine learning for smarter learning environments
Creator
Jain, Rituraj; Upreti, Kamal; Shankar, Uma; Radhakrishnan, G.; Sharma, Ashish; Malik, Khushboo
Description
Big Data, artificial intelligence (AI), and machine learning are transforming education with self-paced learning, precise insights, and automated decisions. The effects these technologies have on education are transformative, especially when it comes to improving student achievement, advancing administrative operations, and personalizing the learning experience, as stated in this chapter. Big Data collects and analyzes immense volumes of data, while AI powers automation, makes predictions, automates evaluations, and enables the possibility of adaptive learning. Chatbots, recommendation engines, and tutoring systems enhance student-focused digital education. Still, integrating these technologies comes with challenges such as privacy and ethical issues, algorithm discrimination, and data security concerns. Some of the new trends are explainable AI (XAI) for ethical decision-making, blockchain and federated learning for privacy-preserving analytic systems, and verifiable credentials. In addition, XR, AI-based virtual laboratories, and neurosymbolic AI will have great consequences on the future learning environment. AI in education offers scalability and inclusivity but demands ethical regulation, governance, and resource management. This chapter recommends sustained effort in research, policy changes, and ethical integration of AI for the best possible use thereof. The education sector, by incorporating human-centered AI approaches, can create a just, sustainable future of learning that is accessible to all students around the world. 2026 Elsevier Inc. All rights reserved.
Source
Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction;pp.203-226
Date
01-01-2025
Publisher
Elsevier
Subject
Cognitive psychology; Computer in education; Human-computer interaction; Knowledge management; Multimedia information system; Operations management
Coverage
Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India; Upreti K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Shankar U., Ramcharan School of Leadership, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Radhakrishnan G., KIIT, Kalinga School of Management, Odisha, Bhubaneswar, India; Sharma A., Department of Technology, JIET Universe, Rajasthan, Jodhpur, India; Malik K., School of Law, Christ University, Uttar Pradesh, Ghaziabad, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-044341660-6; 978-044341661-3;
Format
online
Language
English
Type
Book chapter

Citation

Jain, Rituraj; Upreti, Kamal; Shankar, Uma; Radhakrishnan, G.; Sharma, Ashish; Malik, Khushboo, “Data-driven education: Leveraging big data, AI, and machine learning for smarter learning environments,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24245.

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