Dynamic navigation for personalized learning activities based on gradual adaption recommendation model

Jian Chen*, Haifeng Man, Neil Y. Yen, Qun Jin, Timothy K. Shih

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This study aims to provide learners with appropriate learning activities navigation based on a learning process recommendation system that gradually adapts to their needs. A learning activity consists of a series of purposeful learning actions with a specific sequence. In the system, user profile is generated from various learning related activities that are collected over different time spans. A dynamic user group is generated based on the similarity of user profiles which have had successful learning experience, and can be used to create a personalized navigation of learning activities for a target learner. In this paper, after introducing how to create a dynamic design of learning activities navigation, we focus on discussing the design and implementation issues of the prototype system for personalized learning support.

Original languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2010 - 9th International Conference, Proceedings
Pages31-40
Number of pages10
DOIs
Publication statusPublished - 2010 Dec 1
Event9th International Conference on Advances in Web-Based Learning, ICWL 2010 - Shanghai, China
Duration: 2010 Dec 82010 Dec 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6483 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Advances in Web-Based Learning, ICWL 2010
Country/TerritoryChina
CityShanghai
Period10/12/810/12/10

Keywords

  • Activity course model
  • Dynamic user group
  • Gradual adaption recommendation
  • Learning activities navigation
  • Personalized learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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