Edgcomb, A. D., & Sambamurthy, N., & Gulvady, D., & Kasula, S. (2018, June), Student Usage of Small Auto-graded MATLAB Coding Exercises  Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--31018

\bibitem{asee_peer_31018}
  Edgcomb, A. D., \& Sambamurthy, N., \& Gulvady, D., \& Kasula, S. (2018, June), \emph{Student Usage of Small Auto-graded MATLAB Coding Exercises}
  Paper presented at 2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah.
  10.18260/1-2--31018

Alex Daniel Edgcomb, Nikitha Sambamurthy, Dasharath Gulvady P.E., and Santosh Kasula.  "Student Usage of Small Auto-graded MATLAB Coding Exercises".  2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah, 2018, June.  ASEE Conferences, 2018.  https://peer.asee.org/31018 Internet.  19 Dec, 2024

\bibitem{asee_peer_31018}
  Alex Daniel Edgcomb, Nikitha Sambamurthy, Dasharath Gulvady P.E., and Santosh Kasula.
  "Student Usage of Small Auto-graded MATLAB Coding Exercises".
  \emph{2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah, 2018, June}.
  ASEE Conferences, 2018.
  https://peer.asee.org/31018 Internet.  19 Dec, 2024

@INPROCEEDINGS{asee_peer_31018
author = "Alex Daniel Edgcomb, Nikitha Sambamurthy, Dasharath Gulvady P.E., and Santosh Kasula"
title = "Student Usage of Small Auto-graded MATLAB Coding Exercises"
booktitle = "2018 ASEE Annual Conference \& Exposition "
year = "2018"
month = "June"
address = "Salt Lake City, Utah"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/31018}
number = {10.18260/1-2--31018}
}

TY  - CPAPER
AB  - Instructors are increasingly using small auto-graded coding exercises with immediate feedback to help students learn the MATLAB programming language. Such exercises may require students to write 3 - 10 lines of code. We analyzed student usage of 38 instances of MATLAB coding exercise instances across 1,435 students from seven courses at different universities to determine how students are using the automated MATLAB assessment tool. When instructors suggested completing the exercise (not necessarily requiring or awarding points), we found that student completion rates were on average 83%, with an average per exercise ranging from 64% to 95%. We found that students spent 7.8 minutes on average, matching the 3–10 minutes expected by the exercise authors. We found that students made 4.5 attempts on average per exercise. For some harder exercises, the averages were higher at 12.5 attempts on average and 10.4 minutes on average, suggesting that students were indeed putting forth good effort. Further, we analyzed the students' wrong submissions of exercises that had a high average number of tries. We identified common mistakes by students and shared our best practices for authoring coding exercises.
AU  - Alex Daniel Edgcomb
AU  - Nikitha Sambamurthy
AU  - Dasharath Gulvady P.E.
AU  - Santosh Kasula
CY  - Salt Lake City, Utah
DA  - 2018/06/23
PB  - ASEE Conferences
TI  - Student Usage of Small Auto-graded MATLAB Coding Exercises
UR  - https://peer.asee.org/31018
DO  - 10.18260/1-2--31018
ER  -