Teaching improvement technologies for adaptive and personalized learning environments

Moushir M. El-Bishouty, Kevin Saito, Tingwen Chang, Kinshuk, Sabine Graf

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)


Due to the widespread of online learning, learning management systems (LMSs) contain many of online courses but very little attention is paid to how well these courses actually support learners. Teachers build courses according to their preferred teaching methods; on the other hand, learners have different learning styles. The harmony between the learning styles that a course supports and the actual learning styles of students can help to magnify the efficiency of the learning process. In this chapter, an interactive tool is presented for analyzing existing course contents in learning management systems based on learning styles. This tool allows teachers to be aware of the course support level for different learning styles. It visualizes the suitability of a course for students’ learning styles and helps teachers to improve the course support level of their courses. It aims at supporting teachers in adaptive and personalized learning environments to decide-making efficient modifications in the course structure in order to meet the need of different students’ learning styles.

Original languageEnglish
Title of host publicationLecture Notes in Educational Technology
Number of pages18
Publication statusPublished - 2015

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971


  • Interactive course analyzer
  • Learning management systems
  • Learning styles


Dive into the research topics of 'Teaching improvement technologies for adaptive and personalized learning environments'. Together they form a unique fingerprint.

Cite this