abstract

Towards an Understanding of Program Writing as a Cognitive Process: Analysis of Keystroke Logs

Author:

Matt J. DavidsonAuthors Info & Claims

ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research

Pages 407 - 408

https://doi.org/10.1145/3446871.3469774

Published: 17 August 2021 Publication History

Abstract

Program writing is difficult to teach, learn, and assess. One challenge is a lack of theory or understanding about what program writing is. My dissertation will address this challenge by applying theories from natural language (NL) writing to try and understand program writing as a cognitive process. By analyzing keystroke logs collected during program writing, I plan to identify similarities with NL writing, potential diagnostic information, and how program writing changes as students become more proficient.

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Cited By

Zhang YPaquette LPinto JFan A(2023)Utilizing programming traces to explore and model the dimensions of novices' code‐writing skillComputer Applications in Engineering Education10.1002/cae.2262231:4(1041-1058)Online publication date: 10-Mar-2023
https://doi.org/10.1002/cae.22622

Towards an Understanding of Program Writing as a Cognitive Process: Analysis of Keystroke Logs
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Published In

cover image ACM Conferences

ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research

August 2021

451 pages

ISBN:9781450383264

DOI:10.1145/3446871

Editors:
Amy J. Ko
University of Washington, Seattle, USA
,
Jan Vahrenhold
Westfälische Wilhelms-Universität Münster, Germany
,
Renée McCauley
College of Charleston, USA
,
Matthias Hauswirth
Università della Svizzera italiana, Switzerland

Copyright © 2021 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 17 August 2021

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ICER 2021

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SIGCSE

ICER 2021: ACM Conference on International Computing Education Research

August 16 - 19, 2021

Virtual Event, USA

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Overall Acceptance Rate 189 of 803 submissions, 24%

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Cited By

Zhang YPaquette LPinto JFan A(2023)Utilizing programming traces to explore and model the dimensions of novices' code‐writing skillComputer Applications in Engineering Education10.1002/cae.2262231:4(1041-1058)Online publication date: 10-Mar-2023
https://doi.org/10.1002/cae.22622

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