國立虎尾科技大學 |

Cognitive computing in technology-enhanced learning

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cognitive computing in technology-enhanced learning/ Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors.
other author:	Lytras, Miltiadis D.,
Published:	Hershey, Pennsylvania :IGI Global, : 2019.,
Subject:	Computer-assisted instruction. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9031-6
ISBN:	9781522590323 (e-book)

Cognitive computing in technology-enhanced learning
Cognitive computing in technology-enhanced learning[electronic resource] /Miltiadis D. Lytras, Naif Aljohani, Linda Daniela, and Anna Visvizi, editors. - Hershey, Pennsylvania :IGI Global,2019.

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.

ISBN: 9781522590323 (e-book)Subjects--Topical Terms:

554721
Computer-assisted instruction.

LC Class. No.: LB1028.5 / .C5259 2019e

Dewey Class. No.: 371.33/4

Cognitive computing in technology-enhanced learning
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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"--Provided by publisher.
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700 1 $a Visvizi, Anna, $d 1976- $e editor. $3 1155848
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