David Landy's scientific contributions

Publication (1)

Conference Paper
Full-text available
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might pur...

Citations

... This tagging could alternatively be framed as a form of topic modeling. Motz et al. [12] provide an approach in this vein most relevant to ours in which they use students' course enrollments as a signature with which to learn themes of studying using Latent Dirichlet Allocation (LDA) [2]. Our approach is closer to the user experience of an information system but using machine learning techniques more commonly seen in collaborative-based models. ...