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E-learning methodologies fundamentals, technologies and applications
This book covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London
The Insitution of Engineering and Technology
2021
|
| Colección: | IET computing series ;
40 |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a E-learning methodologies |b fundamentals, technologies and applications |c edited by Mukta Goyal, Rajalakshmi Krishnamurthi and Divakar Yadav |
| 264 | 1 | |a London |b The Insitution of Engineering and Technology |c 2021 | |
| 300 | |a 1 online resource (xviii, 332 pages) |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a IET computing series |v 40 | |
| 588 | 0 | |a Print version record | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Cover -- Contents -- About the editors -- Preface -- Part I: Introduction and pedagogies of e-learning systems with intelligent techniques -- Part II: Technologies in e-learning -- Part III: Case studies -- Part I: Introduction and pedagogies of e-learning systems with intelligent techniques -- 1 Introduction -- 1.1 Asynchronous learning and synchronous learning -- 1.2 Blended learning, distance learning, and Classroom 2.0 -- 1.2.1 E-learning -- 1.2.2 Smart e-learning -- 1.3 Different frameworks of smart e-learning -- 1.3.1 AI in e-learning -- 1.3.2 Mobile learning | |
| 505 | 8 | |a 1.3.3 Cloud-based learning -- 1.3.4 Big data in e-learning -- 1.3.5 IoT framework of e-learning -- 1.3.6 Augmented reality in learning -- 1.4 Gaps in existing frameworks -- 1.5 Conclusion -- References -- 2 Goal-oriented adaptive e-learning -- 2.1 Introduction -- 2.2 Literature survey -- 2.2.1 State-of-the-art -- 2.3 Goal-oriented adaptive e-learning system -- 2.3.1 Goal-oriented course graph structure -- 2.3.1.1 CG components -- 2.3.1.2 Database -- 2.3.2 Registration module -- 2.3.3 Personalized assessment module -- 2.3.3.1 Dynamic learning ability -- 2.3.3.2 Dynamic learning success | |
| 505 | 8 | |a 2.3.4 ACO-based learning path generation -- 2.3.4.1 Objectives -- 2.3.4.2 Time constraint -- 2.3.4.3 Ant colony optimization -- 2.3.5 Persistence into database and self-learning -- 2.4 Experimental results -- 2.4.1 Data preparation -- 2.4.2 Evolution of learning path with regular improvement -- 2.4.2.1 Static learning path -- 2.4.2.2 Dynamic learning paths -- 2.4.3 Evolution of learning path with late improvement -- 2.4.3.1 Static learning path -- 2.4.3.2 Dynamic learning paths -- 2.5 Conclusion -- 2.6 Future scope -- References | |
| 505 | 8 | |a 3 Predicting students' behavioural engagement in microlearning using learning analytics model -- 3.1 Introduction -- 3.2 LA studies -- 3.3 Methods -- 3.4 Results -- 3.4.1 Analysis of using NN -- 3.4.2 Analysis using LR -- 3.5 Comparison analysis using NN and LR -- 3.6 Conclusion -- 3.7 Future scope -- References -- 4 Student performance prediction for adaptive e-learning systems -- 4.1 Introduction -- 4.2 Literature survey -- 4.2.1 Learner profile -- 4.2.2 Soft computing techniques -- 4.3 Methodology -- 4.3.1 Conversion of numeric to intuitionistic fuzzy value -- 4.3.2 Learning style model | |
| 505 | 8 | |a 4.3.3 Personality model -- 4.3.4 Assessment of knowledge level -- 4.3.5 Intuitionistic fuzzy optimization algorithm and KNN classifier -- 4.4 Experimental results -- 4.5 Future work -- 4.6 Conclusion -- References -- Part II: Technologies in e-learning -- 5 AI in e-learning -- 5.1 Artificial intelligence in India -- 5.2 Artificial intelligence in education -- 5.3 AI in e-learning -- 5.4 Analysis and data -- 5.5 Emphasis on the area that needs improvement in e-learning -- 5.6 Creating comprehensive curriculum -- 5.7 Immersive learning -- 5.8 Intelligent tutoring systems | |
| 500 | |a 5.9 Virtual facilitators and learning environment | ||
| 520 | |a This book covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology | ||
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 650 | 0 | |a Computer-assisted instruction |x Design. | |
| 650 | 7 | |a Computer-assisted instruction |x Design |2 fast |0 (OCoLC)fst00872734 | |
| 650 | 7 | |a artificial intelligence. |2 inspect | |
| 650 | 7 | |a augmented reality. |2 inspect | |
| 650 | 7 | |a Big Data. |2 inspect | |
| 650 | 7 | |a bioinformatics. |2 inspect | |
| 650 | 7 | |a cloud computing. |2 inspect | |
| 650 | 7 | |a computer aided instruction. |2 inspect | |
| 650 | 7 | |a data analysis. |2 inspect | |
| 650 | 7 | |a human factors. |2 inspect | |
| 650 | 7 | |a Internet of Things. |2 inspect | |
| 650 | 7 | |a mobile learning. |2 inspect | |
| 650 | 7 | |a teaching. |2 inspect | |
| 700 | 1 | |a Goyal, Mukta |e editor | |
| 700 | 1 | |a Krishnamurthi, Rajalakshmi |e editor | |
| 700 | 1 | |a Yadav, Divakar |e editor | |
| 776 | 0 | 8 | |i Print version: |t E-learning methodologies. |d London : The Insitution of Engineering and Technology, 2021 |z 1839531207 |w (OCoLC)1240415300 |
| 830 | 0 | |a IET computing series ; |v 40 | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpELMFTA02/toc |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH37839234 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6551362 | ||
| 938 | |a EBSCOhost |b EBSC |n 2904433 | ||
| 938 | |a YBP Library Services |b YANK |n 302066014 | ||
| 994 | |a 92 |b IZTAP | ||