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Machine learning approaches for improvising modern learning systems / Zameer Gulzar and A. Anny Leema, editors.
- Format:
- Book
- Series:
- Advances in educational technologies and instructional design.
- Advances in educational technologies and instructional design (AETID) book series
- Language:
- English
- Subjects (All):
- Education--Effect of technological innovations on--Case studies.
- Education.
- Computer-assisted instruction--Case studies.
- Computer-assisted instruction.
- Educational technology--Case studies.
- Educational technology.
- Education--Effect of technological innovations on.
- Genre:
- Case studies.
- Physical Description:
- 18 PDFs (336 pages)
- Place of Publication:
- Hershey, Pennsylvania : IGI Global, [2021]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book explores the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries"-- Provided by publisher.
- Contents:
- Chapter 1. Artificial intelligence and machine learning in higher education
- Chapter 2. Personalized ontology-based adaptive e-learning system
- Chapter 3. Game-based learning: a future research agenda
- Chapter 4. Applications of machine learning in education: personas design for chatbots
- Chapter 5. Recommender system techniques and approaches to improve the modern learning challenges
- Chapter 6. Pedagogical ontology modelling for cell biology domain with an algorithm for question generation
- Chapter 7. Learning management systems in the era of e-learning
- Chapter 8. A machine learning model for advanced decision making in smart education systems
- Chapter 9. Recommender systems for e-learning
- Chapter 10. A comparative analysis of blended models at tertiary level
- Chapter 11. Ontology modelling for metallurgy as a domain and retrieval using particle swarm optimization: conceptualization, modeling, and retrieval.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781799850106
- OCLC:
- 1255218989
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