Predicting University Student Retention using Artificial Intelligence

Predicting Long Term Student Retention using Expanded PFA and Clustering

The regularity lemma is a fundamental result from the extremal graph theory. It is to claim the existence of a regular partition, from which we can construct the reduced graph, hence preserve the consistent behavior inside the same partition, and also decrease the order of input graph significantly. It is a very important tool in theoretical proofs, but due to the requirement of very large grap...

Learning patterns of university student retention

Learning predictors for student retention is very difficult. After reviewing the literature, it is evident that there is considerable room for improvement in the current state of the art. As shown in this paper, improvements are possible if we (a) explore a wide range of learning methods; (b) take care when selecting attributes; (c) assess the efficacy of the learned theory not just by its medi...

Predicting seminal quality with artificial intelligence methods

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.028 ⇑ Corresponding author. E-mail address: [email protected] (D. Gil). 1 These authors equally contributed to this work. Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors, as well as life habits, may affect semen quality...

Evolving Pattern Detectors for Predicting Retention in Managing Student Admissions

Artificial Intelligence Tools for Student Learning Assessment in Professional Schools

The necessity to maximize the learning success of the students as well as to produce professionals with the right skills to fulfil the market requirements, raises the question of closely following and assessing the learning paths of the students of Professional Schools. To solve at once problems and difficulties that arise during the learning process, we need to develop technologies and tools t...