Saeed-Ul Hassan

TL;DR: A deep artificial neural network is deployed on a set of unique handcrafted features, extracted from the virtual learning environments clickstream data, to predict at-risk students providing measures for early intervention of such cases, to assist institutes in formulating a necessary framework for pedagogical support.

TL;DR: The results indicate that institutes strong in Sustainable Development overall may not be strong in all sub-areas and that institute not strong in sustainable development overall may have significant niche strengths in a given sub-area.

TL;DR: Findings suggest that altmetrics can be used to distinguish highly cited publications, with an encouragingly AUC = 0.725 betweenhighly cited publications and total altmetric count.

TL;DR: The results indicate that the field of learning analytics appears to have been instantiated around 2011; thus, before this time period no significant research activity can be observed.

TL;DR: In this article, a zero-truncated negative binomial model is used to determine the association of various factors with increasing or decreasing citations, and the effectiveness of altmetric indices to identify publications with high citation impact is comprehensively evaluated by deploying Area Under the Curve (AUC) -an application of receiver operating characteristic.