Name
Abstract | ||
|---|---|---|
There has been a proliferation of web-based learning programs (WBLPs). Unlike traditional computer-based learning programs, WBLPs are used by a population of learners who have diverse background. How different learners access the WBLPs has been investigated by several studies, which indicate that cognitive style is an important factor that influences learners' preferences. However, these studies mainly use statistical methods to analyze learners' preferences. In this paper, we propose to analyze learners' preferences with a data mining technique. Findings in our study show that Field Independent learners frequently use backward/forward buttons and spent less time for navigation. On the other hand, Field Dependent learners often use main menu and have more repeated visiting. Implications for these findings are discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.eswa.2008.02.054 | Expert Syst. Appl. |
Keywords | Field | DocType |
forward button,data mining,cognitive style,cognitive styles,mining student,field dependent,data mining technique,important factor,web-based learning,different learners access,traditional computer-based learning program,web-based learning program,diverse background,field dependence,field independent | Population,Auditory learning,Computer science,Artificial intelligence,Web application,Field dependence,Multimedia,Machine learning,Cognitive style | Journal |
Volume | Issue | ISSN |
36 | 2 | Expert Systems With Applications |
Citations | PageRank | References |
11 | 1.30 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Man Wai Lee | 1 | 19 | 3.11 |
| Sherry Y. Chen | 2 | 1082 | 77.56 |
| Kyriacos Chrysostomou | 3 | 29 | 3.35 |
| Xiaohui Liu | 4 | 5042 | 269.99 |