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190507s2019 pau fob 001 0 eng d |
010 |
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|z 2018058991
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020 |
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|a9781522590323 (ebook)
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020 |
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|a9781522590316 (hardcover)
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035 |
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|a(OCoLC)1100536433
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040 |
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|aCaBNVSL|beng|cCaBNVSL|dCaBNVSL
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050 |
00
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|aLB1028.5|b.C5259 2019e
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082 |
00
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|a371.33/4|223
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245 |
00
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|aCognitive computing in technology-enhanced learning|h[electronic resource] /|cMiltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors.
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260 |
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|aHershey, Pennsylvania :|bIGI Global,|c2019.
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300 |
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|a1 online resource (xxvii, 345 p.)
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|aIncludes bibliographical references and index.
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505 |
0
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|aSection 1. Foundations of cognitive computing and learning analytics. Chapter 1. Understanding student learning behavior and predicting their performance ; Chapter 2. Enhancing the credibility of the decision-making journey through serious games learning analytics ; Chapter 3. Fostering online interactions between learners ; Chapter 4. Principal component analysis on the students' perception of a cognitive assistant for content reinforcement in higher education -- Section 2. Applications and approaches of cognitive computing and learning analytics. Chapter 5. Managing the learner model with multi-entity Bayesian networks in adaptive hypermedia systems ; Chapter 6. Virtual and augmented reality in medical education and training: innovative ways for transforming medical education in the 21st century ; Chapter 7. Eye tracking applications for e-learning purposes: an overview and perspectives ; Chapter 8. The exploration of automated image processing techniques in the study of scientific argumentation ; Chapter 9. Evaluation of mobile apps for Chinese language learning ; Chapter 10. Modern health management with cognitive computing and big data analytics ; Chapter 11. Smart MM: smart movie management system ; Chapter 12. Virtual reality in visual analytics of large datasets.
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|aRestricted to subscribers or individual electronic text purchasers.
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520 |
3
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|a"This book investigates the new era of technology-enhanced learning from a learning analytics and innovation perspective. It also examines state-of-the art approaches of advanced data mining systems in e-leaning, such as MOOCs and other innovative technologies"--|cProvided by publisher.
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650 |
0
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|aComputer-assisted instruction.
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650 |
0
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|aInternet in education.
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650 |
0
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|aWeb-based instruction.
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650 |
0
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|aEducation|xData processing.
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700 |
1
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|aLytras, Miltiadis D.,|d1973-|eeditor.
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700 |
1
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|aAljohani, Naif,|d1983-|eeditor.
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700 |
1
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|aDaniela, Linda,|d1967-|eeditor.
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700 |
1
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|aVisvizi, Anna,|d1976-|eeditor.
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856 |
40
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|uhttp://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9031-6
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