Learning Path Construction in e-Learning - What to Learn, How to Learn, and How to Improve (Hardcover, 1st ed. 2017)

This book focuses on developing methods for constructing learning paths in terms of "learning resources" (learning contents), "learning approaches" (learning method), and "learning quality" (learning performance) to support learning. This book defines different teaching approaches for learning activities and organizes them into a learning path which indicates the learning sequence. This book introduces how to automatically generate well-structured learning resources for different students. Also, this book introduces a method about how to generate adaptive learning approach to learn learning resources for different students. Finally, this book introduces a method to monitor and control learning quality. The adaptive learning path expresses well-structured learning contents, using which approach to access those learning contents, and in which sequence to carry out the learning process. The learning path comes with a monitoring tool to control the learning progress, which helps to make students having a balanced development on different knowledge and abilities. Researchers who worked in E-learning area, both education and computer sciences people.Educators who worked in educational institutes, such as Universities, Schools, etc. They would like to use or study E-learning tools/technologies/methods in their own work.And technicians who run/design educational websites will understand the appeal of this work.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Lecture Notes in Educational Technology
Release date:	August 2016
First published:	2017
Authors:	Fan Yang • Zheng-hong Dong
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	153
Edition:	1st ed. 2017
ISBN-13:	978-981-10-1943-2
Categories:	Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Education > Educational resources & technology > General Promotions
LSN:	981-10-1943-6
Barcode:	9789811019432

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