The effects of prior knowledge on the use of adaptive hypermedia learning systems

Freddy Mampadi, Sherry Chen, Gheorghita Ghinea

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Prior knowledge and cognitive styles are considered important determinants in adaptive hypermedia learning systems (AHLSs) as they influence how learners select information to put into memory. However, there is a need to investigate how they influence learner performance and perceptions prior to comparing them and establishing if they can be used together to maximise learning in AHLSs. To this end, this study investigated the effects of prior knowledge on the use of AHLSs to set the foundation for the comparison. 60 students participated in this study. The results showed that, in general, adapting to prior knowledge improves learner performance and perceptions, especially for users with low prior knowledge. However, the results also indicated that the relative improvement in learner performance is significantly higher than that of perceptions when using the AHLS. The implications of the design of AHLSs are discussed by the paper.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteracting in Various Application Domains - 13th International Conference, HCI International 2009, Proceedings
Pages156-165
Number of pages10
EditionPART 4
DOIs
StatePublished - 2009
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: 19 Jul 200924 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume5613 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Human-Computer Interaction, HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA
Period19/07/0924/07/09

Keywords

  • Cognitive styles
  • Evaluation
  • Experts
  • Learning performance
  • Learning styles
  • Novice
  • Perceptions

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