Cognitive computing in technology-enhanced learning:
"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"--
Gespeichert in:
Weitere Verfasser: | , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2019.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "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"-- |
Beschreibung: | 24 PDFs (345 pages) Also available in print. |
Format: | Mode of access: World Wide Web. |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781522590323 |
Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
LEADER | 00000nam a2200000 i 4500 | ||
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010 | |z 2018058991 | ||
020 | |a 9781522590323 |q ebook | ||
020 | |z 9781522590316 |q hardcover | ||
024 | 7 | |a 10.4018/978-1-5225-9031-6 |2 doi | |
035 | |a (CaBNVSL)slc20843068 | ||
035 | |a (OCoLC)1100536433 | ||
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050 | 4 | |a LB1028.5 |b .C5259 2019e | |
082 | 7 | |a 371.33/4 |2 23 | |
245 | 0 | 0 | |a Cognitive computing in technology-enhanced learning |c Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. |
264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2019. | |
300 | |a 24 PDFs (345 pages) | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Section 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. | |
506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
520 | 3 | |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"-- |c Provided by publisher. | |
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | |a Description based on title screen (IGI Global, viewed 05/07/2019). | ||
650 | 0 | |a Computer-assisted instruction. | |
650 | 0 | |a Education |x Data processing. | |
650 | 0 | |a Internet in education. | |
650 | 0 | |a Web-based instruction. | |
700 | 1 | |a Aljohani, Naif |d 1983- |e editor. | |
700 | 1 | |a Daniela, Linda |d 1967- |e editor. | |
700 | 1 | |a Lytras, Miltiadis D. |d 1973- |e editor. | |
700 | 1 | |a Visvizi, Anna |d 1976- |e editor. | |
710 | 2 | |a IGI Global, |e publisher. | |
776 | 0 | |c (Original) |w (DLC)2018058991 | |
776 | 0 | 8 | |i Print version: |z 1522590315 |z 9781522590316 |w (DLC) 2018058991 |
856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9031-6 |3 Volltext |
912 | |a ZDB-98-IGB | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-98-IGB-00218576 |
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adam_text | |
any_adam_object | |
author2 | Aljohani, Naif 1983- Daniela, Linda 1967- Lytras, Miltiadis D. 1973- Visvizi, Anna 1976- |
author2_role | edt edt edt edt |
author2_variant | n a na l d ld m d l md mdl a v av |
author_facet | Aljohani, Naif 1983- Daniela, Linda 1967- Lytras, Miltiadis D. 1973- Visvizi, Anna 1976- |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | L - Education |
callnumber-label | LB1028 |
callnumber-raw | LB1028.5 .C5259 2019e |
callnumber-search | LB1028.5 .C5259 2019e |
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callnumber-subject | LB - Theory and Practice of Education |
collection | ZDB-98-IGB |
contents | Section 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. |
ctrlnum | (CaBNVSL)slc20843068 (OCoLC)1100536433 |
dewey-full | 371.33/4 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 371 - Schools and their activities; special education |
dewey-raw | 371.33/4 |
dewey-search | 371.33/4 |
dewey-sort | 3371.33 14 |
dewey-tens | 370 - Education |
discipline | Pädagogik |
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spelling | Cognitive computing in technology-enhanced learning Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2019. 24 PDFs (345 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 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. Restricted to subscribers or individual electronic text purchasers. "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"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/07/2019). Computer-assisted instruction. Education Data processing. Internet in education. Web-based instruction. Aljohani, Naif 1983- editor. Daniela, Linda 1967- editor. Lytras, Miltiadis D. 1973- editor. Visvizi, Anna 1976- editor. IGI Global, publisher. (Original) (DLC)2018058991 Print version: 1522590315 9781522590316 (DLC) 2018058991 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9031-6 Volltext |
spellingShingle | Cognitive computing in technology-enhanced learning Section 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. Computer-assisted instruction. Education Data processing. Internet in education. Web-based instruction. |
title | Cognitive computing in technology-enhanced learning |
title_auth | Cognitive computing in technology-enhanced learning |
title_exact_search | Cognitive computing in technology-enhanced learning |
title_full | Cognitive computing in technology-enhanced learning Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. |
title_fullStr | Cognitive computing in technology-enhanced learning Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. |
title_full_unstemmed | Cognitive computing in technology-enhanced learning Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. |
title_short | Cognitive computing in technology-enhanced learning |
title_sort | cognitive computing in technology enhanced learning |
topic | Computer-assisted instruction. Education Data processing. Internet in education. Web-based instruction. |
topic_facet | Computer-assisted instruction. Education Data processing. Internet in education. Web-based instruction. |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9031-6 |
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