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Volume Two - Academic Conferences

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Phelim Murnion and Markus Helfert<br />

4. Using another typology popular in the field, we can categorise papers by educational task(Baker<br />

and Yacef 2009), or educational objective(Romero and Ventura 2010)again using a binary division<br />

consisting of:<br />

Supporting teaching and learning (which is the focus of this study), versus<br />

Supporting theory advancement (student models, domain content models, etc.)<br />

Based on these steps, the twenty-nine papers per criterion 3.a. are sampled to select papers<br />

according to criterion 4.a. This will focus the review on papers relevant to this study: those which<br />

examine support for teaching and learning in a LMS environment.<br />

Figure 4: EDM research; integration with the educational context<br />

Out of the full sample of papers (per criterion 3.a), some are excluded because they do not meet<br />

criterion 4.a or for other practical reasons. Papers excluded are listed in Appendix A<br />

The analysis in figure 4 shows that EDM research is not highly developed in terms of integration with<br />

the educational context. At each stage in the development of the integration (vertical axis) there are<br />

fewer papers. The most notable gap is in the integration stage. Furthermore there is no clear<br />

development over time. On the one hand, all the papers in the Integration stage are in the later years.<br />

On the other, most of the papers in the Problem stage are also in the later years (5 for 2008).<br />

4. Proposed conceptual framework<br />

As our analysis in section three shows, there is a significant gap in EDM research;in the form of an<br />

inadequate model of the task domain of teaching and learning. In order to address this gap, we<br />

propose a conceptual frameworkthat enables EDM research to be more integrated with the task<br />

domain. The basis for that framework is the related work on the data mining cycle, as outlined in<br />

section 4.1 and the refinement of that model for the special case of the task domain, which is teaching<br />

and learning, as outlined in 4.2. Therefore, we propose an educational data mining cycle (figure 5)<br />

which incorporates a conceptual linkage (dashed triangle) to the task domain of teaching and<br />

learning.<br />

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