Wolfe, B., & Lowry, E. (2022, August), Predicting Success in Programming I  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40765

\bibitem{asee_peer_40765}
  Wolfe, B., \& Lowry, E. (2022, August), \emph{Predicting Success in Programming I}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--40765

Britton Wolfe and Eli Lowry.  "Predicting Success in Programming I".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/40765 Internet.  14 Mar, 2025

\bibitem{asee_peer_40765}
  Britton Wolfe and Eli Lowry.
  "Predicting Success in Programming I".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/40765 Internet.  14 Mar, 2025

@INPROCEEDINGS{asee_peer_40765
author = "Britton Wolfe and Eli Lowry"
title = "Predicting Success in Programming I"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/40765}
number = {10.18260/1-2--40765}
}

TY  - CPAPER
AB  - We investigate the degree to which student scores on a diagnostic quiz can predict success in a first programming course. The diagnostic questions do not require programming knowledge, nor are they programming questions, to facilitate early feedback and avoid measuring student confusion about programming syntax. Instead, the questions attempt to assess fundamental reasoning skills that we hypothesize are important for success as a programmer. A multiple linear regression finds a significant correlation between scores on some of the diagnostic questions and exam scores in the course, but there remains substantial variance in exam scores unexplained by the model, even after accounting for students’ major and different instructors. Nonetheless, students with low scores on one particular diagnostic question have a much higher risk of earning a D, F, or W in the course (44%) compared to the other students in the course (13%), as computed on a validation data set.
AU  - Britton Wolfe
AU  - Eli Lowry
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Predicting Success in Programming I
UR  - https://peer.asee.org/40765
DO  - 10.18260/1-2--40765
ER  -