A01=Kinshuk
adaptive learning
adaptivity and personalization
Age Group_Uncategorized
Age Group_Uncategorized
Associative Learning Skills
authentic learning
Author_Kinshuk
automatic customization
automatic-update
Category1=Non-Fiction
Category=JNC
Category=JNDH
Category=JNKD
Category=JNQ
Category=JNT
Cognitive Apprenticeship Approach
cognitive attributes
cognitive profiling
Cognitive Skills Acquisition
Computer Based Learning
Computer Based Learning Environments
Computer Based Learning Tools
constructivist learning
COP=United Kingdom
Current Learning Goals
Delivery_Delivery within 10-20 working days
design of learning systems
Designing Adaptive and Personalized Learning Environments
digital literacy
domain competence
educational technology
eq_isMigrated=2
eq_non-fiction
eq_society-politics
evaluation
exploratory learning
High Inductive Reasoning Ability
High Working Memory Capacity
Higher Order Presentation
IMS Global Learn Consortium
IMS Learning Design
Inductive Reasoning Ability
Interdisciplinary Approaches to Education
Kinshuk
Language_English
learning analytics
Learning Content
Learning Object Repositories
learning sciences
Low Working Memory Capacity
mobile settings
Multimedia Object
PA=Available
Personalization Mechanism
personalized learning
Personalized Learning Environments
Price_€20 to €50
PS=Active
reusability
softlaunch
STEM content fields
Student’s Cognitive Abilities
Ubiquitous Environments
Ubiquitous Learning
Ubiquitous Learning Environments
ubiquitous settings
Working Memory Capacity
Working Memory Capacity Influences
Designing Adaptive and Personalized Learning Environments
Designing Adaptive and Personalized Learning Environments provides a theoretically-based yet practical guide to systematic design processes for learning environments that provide automatic customization of learning and instruction.
The book consists of four main sections: In "Introduction and Overview," the concepts of adaptivity and personalization are introduced and explored in detail. In "Theoretical Perspectives with Example Applications," various theoretical concepts underlying adaptive and personalized learning are discussed, including cognitive profiling, content-based adaptivity, exploration-based adaptivity, and mobile and ubiquitous settings. In "Practical Perspectives with Example Applications," the implementation process for adaptive and personalized learning environments is described, followed by application in various contexts. In "Validation and Future Trends," various evaluation techniques for validating the efficiency and efficacy of adaptive and personalized learning systems are discussed. This final section concludes with a discussion of emerging trends in adaptive and personalized learning research.
Based on cutting-edge research, Designing Adaptive and Personalized Learning Environments is appropriate as a primary textbook for both undergraduate and graduate courses focused on the design of learning systems, and as a secondary textbook for a variety of courses in programs such as educational technology, instructional design, learning sciences, digital literacy, computer based systems, and STEM content fields.
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Product Details
- Weight: 362g
- Dimensions: 178 x 254mm
- Publication Date: 01 Apr 2016
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Language: English
- ISBN13: 9781138013063
About Kinshuk
Kinshuk is Associate Dean of Faculty of Science and Technology and Full Professor in the School of Computing and Information Systems at Athabasca University, Canada. He also holds the NSERC/CNRL/Xerox/McGraw Hill Industrial Research Chair for Adaptivity and Personalization in Informatics. He is founding chair of IEEE Technical Committee on Learning Technologies, and founding editor of the Journal of Educational Technology and Society and the Smart Learning Environments journal.