Zhang, M., & Ko, A. J., & Li, C. (2024, June), Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--46813

\bibitem{asee_peer_46813}
  Zhang, M., \& Ko, A. J., \& Li, C. (2024, June), \emph{Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  10.18260/1-2--46813

Mo Zhang, Amy Jensen Ko, and CHEN Li.  "Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/46813 Internet.  06 Jan, 2025

\bibitem{asee_peer_46813}
  Mo Zhang, Amy Jensen Ko, and CHEN Li.
  "Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/46813 Internet.  06 Jan, 2025

@INPROCEEDINGS{asee_peer_46813
author = "Mo Zhang, Amy Jensen Ko, and CHEN Li"
title = "Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/46813}
number = {10.18260/1-2--46813}
}

TY  - CPAPER
AB  - Learning to code is becoming a popular subject for students and professionals of all ages, partly for its career prospects, but also as a critical literacy for understanding how computing is shaping society. Yet, educators generally agree that computer programming is difficult to teach and assess. This research aims to address difficulties in assessing computer programming by investigating critical characteristics of programming tasks using both response process and product data. The study capitalizes on the ability of logging the coding process to obtain, sort, analyze, and summarize vast amounts of fine-grained information that can be captured by observing program edits. We aim to study the relations between process and task characteristics in programming, identifying patterns that are indicative of proficiencies, suggest fluency, or signal certain kinds of coding difficulties. Such identification will, in turn, allow for designing instructional, learning, or assessment materials that are targeted at specific needs of learners.
AU  - Mo Zhang
AU  - Amy Jensen Ko
AU  - CHEN Li
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Board 242: Developing Valid and Equitable Tasks for Assessing Programming Proficiency:  Linking Process Data to Assessment Characteristics
UR  - https://peer.asee.org/46813
DO  - 10.18260/1-2--46813
ER  -