Name
Abstract | ||
|---|---|---|
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which was the construction of a framework, based on an extensive literature review. Phase two consisted of identifying variables computable from log file data, associated with the framework and compatible with previous empirical research. For this purpose, an empirical study was designed and a specific learning environment focusing on vocabulary for adults was chosen. Log files of a large population (N=2,162) were collected and variables were identified using Learnograms, a visual representation of learning variables over time. This phase resulted in seven variables, along with a mechanism to calculate them from the raw log files. The third phase included preprocessing of the dataset (reducing it to 674 cases) and application of hierarchical clustering of the variables. This phase resulted in three clusters interpreted to fit the three dimensions of motivation defined in the framework. A discussion of this study and further research is provided. |
Year | Venue | Keywords |
|---|---|---|
2008 | EDM | educational data mining,web-based learning,motivation.,three dimensions,hierarchical clustering,empirical study,conceptual framework,empirical research |
Field | DocType | Citations |
Hierarchical clustering,Population,Data mining,Computer science,Preprocessor,Artificial intelligence,Learning environment,Conceptual framework,Vocabulary,Empirical research,Machine learning | Conference | 5 |
PageRank | References | Authors |
0.60 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnon Hershkovitz | 1 | 106 | 13.39 |
| Rafi Nachmias | 2 | 350 | 38.59 |