Bari, A. G., & Gaspar, A., & Wiegand, R. P., & Vitel, D., & Tan, K. C., & Kozakoff, S. J. (2019, June), On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming  Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33142

\bibitem{asee_peer_33142}
  Bari, A. G., \& Gaspar, A., \& Wiegand, R. P., \& Vitel, D., \& Tan, K. C., \& Kozakoff, S. J. (2019, June), \emph{On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming}
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--33142

A.T.M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Dmytro Vitel, Kok Cheng Tan, and Stephen John Kozakoff.  "On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://strategy.asee.org/33142 Internet.  28 May, 2024

\bibitem{asee_peer_33142}
  A.T.M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Dmytro Vitel, Kok Cheng Tan, and Stephen John Kozakoff.
  "On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://strategy.asee.org/33142 Internet.  28 May, 2024

@INPROCEEDINGS{asee_peer_33142
author = "A.T.M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Dmytro Vitel, Kok Cheng Tan, and Stephen John Kozakoff"
title = "On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming"
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/33142}
number = {10.18260/1-2--33142}
}

TY  - CPAPER
AB  - Our goal is to investigate whether techniques to automatically generate practice problems have
also potential to assist in constructing Concept Inventories (CI) for computer programming. More
specifically, we focus on a specific type of practice problem, Parsons puzzles, aimed at novice
programmers. In this study, we propose EvoParsons - an automated way of evolving Parsons
puzzle for newbie computer programmers, and more importantly we establish that EvoParsons
can be a stepping stone of automating the process of building CI. EvoParsons is a software tool to
improve students’ learning of computer programming. It is developed, maintained and distributed
by our team. The state-of-the art techniques of building CI largely depends on several iterations
of settings among faculties, interviews and surveys from students. This so called Delphi method
largely depends on knowledge of domain experts, feedback from students, surveys etc.
EvoParsons goal is to automate this process by applying Competitive Coevolutionary Algorithm
(CCoEA) and Interactive Evolutionary Algorithm (IEA). In this paper, we first describe
EvoParsons working mechanism, its benefits over other existing systems of generating Parsons
puzzle. Second, we use EvoParsons’ interaction data with actual student to describe its potential
to contribute for building CI. To do so, we perform data driven analysis of EvoParson’s
misconceptions that are found at the last generational puzzle of the experiment. We also analyze
its interaction log to investigate pedagogical importance of misconceptions in successive
generations. Experimental analysis shows that EvoParsons evolves interesting misconceptions,
discards trivial ones, maintains an order of misconceptions in its subsequent generations of evolution.
AU  - A.T.M. Golam Bari
AU  - Alessio Gaspar
AU  - R. Paul Wiegand
AU  - Dmytro Vitel
AU  - Kok Cheng Tan
AU  - Stephen John Kozakoff
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - On the Potential of Evolved Parsons Puzzles to Contribute to Concept Inventories in Computer Programming
UR  - https://strategy.asee.org/33142
DO  - 10.18260/1-2--33142
ER  -