Publication details
Towards Academic Analytics by Means of Motion Charts
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014) |
| MU Faculty or unit | |
| Citation | |
| Web | http://link.springer.com/book/10.1007/978-3-319-11200-8 |
| Doi | http://dx.doi.org/10.1007/978-3-319-11200-8_47 |
| Field | Informatics |
| Keywords | academic analytics; animations; motion charts; student retention; visual analytics |
| Description | In the EDAIME tool, we enhanced the MC concept and expanded it to be more suitable for AA. We also developed the rich user interface with impressive selection of features which provide a quick, convenient, and visually appealing way to identify potential correlations between different variables. The complexity of underlying data to be analyzed is reduced by the analyst's ability to control how the data is mapped to MC variables and displayed in the EDAIME tool. Among other, analysts can interact with the charts by refining chart criteria and clarify analyses of the relationship between variables. |