Innovative Trends in Personalized Software Engineering and Information Systems | The Case of Intelligent and Adaptive E-learning Systems

C. Troussas (u. a.)

ISBN 10: 164368096X / ISBN 13: 9781643680965

Published by IOS Press, 2020

About this Item

Innovative Trends in Personalized Software Engineering and Information Systems | The Case of Intelligent and Adaptive E-learning Systems | C. Troussas (u. a.) | Taschenbuch | Englisch | 2020 | IOS Press | EAN 9781643680965 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 135875308

Bibliographic Details

• Title: Innovative Trends in Personalized Software Engineering and Information Systems | The Case of Intelligent and Adaptive E-learning Systems
• Publisher: IOS Press
• Publication Date: 2020
• Language: English
• ISBN 10: 164368096X
• ISBN 13: 9781643680965
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 6D millimeters 240 millimeters width by 160 millimeters height by 6 millimeters depth
• Weight: 184 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning. The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented. This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.