One of the key goals higher education institutions (HEIs) is student career success. In HEIs, students are given necessary subject-specific information, skills, and experience to achieve this. South Africa, which has historically been one technological leaders in there currently insufficient Fourth Industrial Revolution (4IR) specialists graduating from meet rising need for a skilled workforce ...

Although there is now substantial evidence that developmental change occurs in implicit learning abilities over the lifespan, disparate results exist regarding the specific developmental trajectory of implicit learning skills. One possible reason for discrepancies across implicit learning studies may be that younger children show an increased sensitivity to variations in implicit learning task ...

In this paper we address the problem of learning robust cross-domain representations for sketch-based image retrieval (SBIR). While most SBIR approaches focus on extracting lowand mid-level descriptors for direct feature matching, recent works have shown the benefit of learning coupled feature representations to describe data from two related sources. However, cross-domain representation learni...

This study compared 19 older adults and 20 younger adults on the Groton Maze Learning Test((c)) (GMLT), a novel computerized hidden maze learning test that assesses processing speed, spatial learning efficiency, and error monitoring. Convergent validity of this test was assessed by comparing GMLT scores to Paced Auditory Serial Addition Test (PASAT) and Tower of Toronto (TOT) scores. In the ful...

Metacognitive monitoring and control must be accurate and efficient in order to allow self-guided learners to improve their performance. Yet few examples exist in which allowing learners to control learning produces higher levels of performance than restricting learners' control. Here we investigate the consequences of allowing learners to self-pace study of a list of words on later recognition...

Exploiting the information from multiple views can improve clustering accuracy. However, most existing multi-view clustering algorithms are nonconvex and are thus prone to becoming stuck into bad local minima, especially when there are outliers and missing data. To overcome this problem, we present a new multi-view self-paced learning (MSPL) algorithm for clustering, that learns the multi-view ...