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Achievement Goals in CS1: Replication and Extension

Authors:

Daniel Zingaro,

Michelle Craig,

Brett A. Becker,

Diana Cukierman,

Neena ThotaAuthors Info & Claims

SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education

Pages 687 - 692

https://doi.org/10.1145/3159450.3159452

Published: 21 February 2018 Publication History

Abstract

Replication research is rare in CS education. For this reason, it is often unclear to what extent our findings generalize beyond the context of their generation. The present paper is a replication and extension of Achievement Goal Theory research on CS1 students. Achievement goals are cognitive representations of desired competence (e.g., topic mastery, outperforming peers) in achievement settings, and can predict outcomes such as grades and interest. We study achievement goals and their effects on CS1 students at six institutions in four countries. Broad patterns are maintained --- mastery goals are beneficial while appearance goals are not --- but our data additionally admits fine-grained analyses that nuance these findings. In particular, students' motivations for goal pursuit can clarify relationships between performance goals and outcomes.

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Cited By

Campbell OSanusi IAtagana HMonga MLonati VBarendsen ESheard JPaterson J(2024)From Visual Arts to Programming: Exploring the Impact on Achievement in Constructionist College CS1 ClassesProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653597(604-610)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653597
She YKlimczak KLevin MLiao SStephenson BStone JBattestilli LRebelsky SShoop L(2024)ClearMind Workshop: An ACT-based Intervention Tailored for Academic Procrastination among Computing StudentsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630805(1216-1222)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630805
Salguero AVillegas Molina IElizabeth Margulieux LCutts QPorter LStephenson BStone JBattestilli LRebelsky SShoop L(2024)Applying CS0/CS1 Student Success Factors and Outcomes to Biggs' 3P Educational ModelProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630781(1168-1174)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630781
Show More Cited By

Index Terms

Achievement Goals in CS1: Replication and Extension
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        CS1

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Published In

cover image ACM Conferences

SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education

February 2018

1174 pages

ISBN:9781450351034

DOI:10.1145/3159450

General Chairs:
Tiffany Barnes
North Carolina State University, USA
,
Daniel Garcia
University of California, Berkeley, USA
,
Program Chairs:
Elizabeth K. Hawthorne
Union County College, USA
,
Manuel A. Pérez-Quiñones
UNC Charlotte, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 21 February 2018

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SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education

February 21 - 24, 2018

Maryland, Baltimore, USA

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SIGCSE '18 Paper Acceptance Rate 161 of 459 submissions, 35%;

Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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Cited By

Campbell OSanusi IAtagana HMonga MLonati VBarendsen ESheard JPaterson J(2024)From Visual Arts to Programming: Exploring the Impact on Achievement in Constructionist College CS1 ClassesProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653597(604-610)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653597
She YKlimczak KLevin MLiao SStephenson BStone JBattestilli LRebelsky SShoop L(2024)ClearMind Workshop: An ACT-based Intervention Tailored for Academic Procrastination among Computing StudentsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630805(1216-1222)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630805
Salguero AVillegas Molina IElizabeth Margulieux LCutts QPorter LStephenson BStone JBattestilli LRebelsky SShoop L(2024)Applying CS0/CS1 Student Success Factors and Outcomes to Biggs' 3P Educational ModelProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630781(1168-1174)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630781
Ossovski EBrinkmeier M(2024)Frustration tolerance among computer-science-related novice university studentsEuropean Journal of Engineering Education10.1080/03043797.2024.231967349:4(734-751)Online publication date: 22-Feb-2024
https://doi.org/10.1080/03043797.2024.2319673

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