Modelling Engineering Student Academic Performance Using

Predictive Modeling and Analysis of Student Academic Performance in an Engineering Dynamics Course

Student Retention Modelling: An Evaluation of Different Methods and their Impact on Prediction Results

Entering engineering students’ cognitive data from high school and their non-cognitive selfbeliefs can be influential factors affecting their academic success and retention decision. Effectively modelling the relationships between these early available factors and student’s future status of persistence in engineering can be particularly valuable to improve student retention in engineering. In t...

Implementation quality of whole-school mental health promotion and students’ academic performance

BACKGROUND: This paper argues for giving explicit attention to the quality of implementation of school-wide mental health promotions and examines the impact of implementation quality on academic performance in a major Australian mental health initiative. METHOD: Hierarchical linear modelling was used to investigate change in standardised academic performance across the 2-year implementation of...

Ac 2011-2404: a Drop-in Tutoring Program to Support First- Year Engineering

In spring 2008 the College of Engineering and Applied Science at the University of Colorado Boulder established an inclusive excellence program with a focus on increasing the academic performance and retention through graduation of students who are underrepresented in engineering — including women, minorities, low-income and first-generation college students. The Broadening Opportunity through ...

A Novel Predictive Modeling System to Analyze Students at Risk of Academic Failure

Supporting academic success is a central focus of higher education institutions. To address this challenge, predictive techniques could be applied in order to build models that predict academic performance such as student retention and graduation. This paper presents a predictive system for modeling and scoring students achievements. Based on student historical data, predictive models are devel...