Pedraza, D. A., & Beruvides, M. G. (2016, June),  The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26217

\bibitem{asee_peer_26217}
  Pedraza, D. A., \& Beruvides, M. G. (2016, June), \emph{ The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.26217

Deborah Ann Pedraza and Mario G. Beruvides P.E..  " The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/26217 Internet.  23 Apr, 2024

\bibitem{asee_peer_26217}
  Deborah Ann Pedraza and Mario G. Beruvides P.E..
  " The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/26217 Internet.  23 Apr, 2024

@INPROCEEDINGS{asee_peer_26217
author = "Deborah Ann Pedraza and Mario G. Beruvides P.E."
title = " The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/26217}
number = {10.18260/p.26217}
}

TY  - CPAPER
AB  - Abstract

Research in the open liturature 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 a model for predicting success in an Engineering Economics course as well as identifies factors that affect success or failure.  This study identifies participants over a span of ten years attending Texas Tech University to establish base data.  The study evaluates the data to determine at what point in the semester final grades can be accurately predicted.  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.

AU  - Deborah Ann Pedraza
AU  - Mario G. Beruvides P.E.
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  -  The Relationship Between Course Assignments and Academic Performance: An Analysis of Predictive Characteristics of Student Performance
UR  - https://peer.asee.org/26217
DO  - 10.18260/p.26217
ER  -