The relationship between course assignments and academic performance: An analysis of predictive characteristics of student performance

Deborah Ann Pedraza, Mario G. Beruvides

Research output: Contribution to journalConference articlepeer-review

Abstract

Research in the open literature suggests that several possible variables (i.e. SAT scores and others) can predict the academic readiness of students in an engineering program, but many are not always reliable sources. This research analyzes different models for predicting success in an undergraduate education course as well as identifies factors that affect success or failure. The study evaluates the current state of the art to determine what critical performance measures might lead to accurate student success. The study reviews the determinants that most influence the success or failure of students. The premise of this research is to accurately predict the performance of Engineering students and provide a means to identify struggling students and suggest intervention strategies for intervention to help students succeed. By identifying students that are more likely to fail and assisting them before they do, it is possible to increase the number of students that remain in Engineering.

Original languageEnglish
JournalASEE Annual Conference and Exposition, Conference Proceedings
Volume2016-June
StatePublished - Jun 26 2016
Event123rd ASEE Annual Conference and Exposition - New Orleans, United States
Duration: Jun 26 2016Jun 29 2016

Fingerprint

Dive into the research topics of 'The relationship between course assignments and academic performance: An analysis of predictive characteristics of student performance'. Together they form a unique fingerprint.

Cite this