Adaptive Learning Technologies For Higher Education
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Adaptive Learning Technologies for Higher Education
In today's rapidly evolving higher education landscape, educators face the daunting challenge of providing meaningful and compelling learning experiences to diverse students. The integration of technology, the shift towards student-centered learning, and the imperative to foster inclusive environments all contribute to the complexity of this task. Traditional teaching methods are needed to meet these demands, requiring educators to adapt and innovate in their approaches. Adaptive Learning Technologies for Higher Education offers a comprehensive solution to these challenges. By focusing on specific learning experiences and a variety of methodologies, including online platforms and gamification, the book provides practical techniques to enhance classroom environments. It also emphasizes technology integration, skills-based learning programs, and inclusivity, addressing critical areas of concern for educators seeking to improve student engagement and outcomes.
Adaptive Technologies for Training and Education
Author: Paula J. Durlach (Ed)
language: en
Publisher: Cambridge University Press
Release Date: 2012-02-20
"This volume provides an overview of the latest advancements in computer-based education training that use student performance data to provide adaptive and hence more efficient individualized learning opportunities"-- Provided by publisher.
Intelligent and Adaptive Educational-Learning Systems
Author: Alejandro Peña-Ayala
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-08-10
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.