Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
The impact of affect on learning has been the subject of increasing attention. Because of the differential effects of students’ affective states on learning outcomes, there is a ...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
In this paper we discuss how computer supported collaborative learning (CSCL) can be deployed to develop new skills and habits in students at university level. These considerations...
: Research has found that animated characters are capable of capturing users’ attention, engaging them in active tasks, and entertaining them. Such capabilities are pedagogical t...