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Hypermedia learning and prior knowledge: domain expertise vs. system expertise
Author(s) -
Mitchell Timothy J. F.,
Chen Sherry Y.,
Macredie Robert D.
Publication year - 2005
Publication title -
journal of computer assisted learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.583
H-Index - 93
eISSN - 1365-2729
pISSN - 0266-4909
DOI - 10.1111/j.1365-2729.2005.00113.x
Subject(s) - hypermedia , domain (mathematical analysis) , domain knowledge , perception , computer science , knowledge level , knowledge management , multimedia , psychology , artificial intelligence , neuroscience , mathematics , mathematical analysis
Prior knowledge is often argued to be an important determinant in hypermedia learning, and may be thought of as including two important elements: domain expertise and system expertise. However, there has been a lack of research considering these issues together. In an attempt to address this shortcoming, this paper presents a study that examines how domain expertise and system expertise influence students' learning performance in, and perceptions of, a hypermedia system. The results indicate that participants with lower domain knowledge show a greater improvement in their learning performance than those with higher domain knowledge. Furthermore, those who enjoy using the Web more are likely to have positive perceptions of non‐linear interaction. Discussions on how to accommodate the different needs of students with varying levels of prior knowledge are provided based on the results.