Hahler, S., & Orr, M. K. (2016, June), Predicting Success in Pre-Calculus and Engineering Problem Solving  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25935

\bibitem{asee_peer_25935}
  Hahler, S., \& Orr, M. K. (2016, June), \emph{Predicting Success in Pre-Calculus and Engineering Problem Solving}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.25935

Sara Hahler and Marisa K. Orr.  "Predicting Success in Pre-Calculus and Engineering Problem Solving".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/25935 Internet.  01 May, 2024

\bibitem{asee_peer_25935}
  Sara Hahler and Marisa K. Orr.
  "Predicting Success in Pre-Calculus and Engineering Problem Solving".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/25935 Internet.  01 May, 2024

@INPROCEEDINGS{asee_peer_25935
author = "Sara Hahler and Marisa K. Orr"
title = "Predicting Success in Pre-Calculus and Engineering Problem Solving"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/25935}
number = {10.18260/p.25935}
}

TY  - CPAPER
AB  - The purpose of this research paper is to determine if a student’s ACT math score is a significant variable in predicting grades in first year mathematics and engineering courses as well as determine if it is the only variable that plays a significant role in an engineering student’s grades. Other variables were selected for consideration based on extant literature, with emphasis on prior knowledge, including high school rank, GPA, and ACT component scores as well as demographic variables.  Using linear regression with forward selection, this work found that at Louisiana Tech University, a student’s ACT math score is significant in terms of grade in both Pre-Calculus (the first math class an “on track” engineering student will take) and Engineering Problem Solving I (the first engineering class a freshmen student will take). However, high school GPA was a better predictor in both cases.  Of the variables commonly available in student records systems, we conclude that both ACT math score and high school GPA should be considered when predicting performance in Pre-Calculus and Engineering Problem Solving, as each adds considerable explanation of variance.  
AU  - Sara Hahler
AU  - Marisa K. Orr
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Predicting Success in Pre-Calculus and Engineering Problem Solving
UR  - https://peer.asee.org/25935
DO  - 10.18260/p.25935
ER  -