Article

Team formation methods for increasing interaction during in-class group work

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Katherine DeibelAuthors Info & Claims

ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education

Pages 291 - 295

https://doi.org/10.1145/1067445.1067525

Published: 27 June 2005 Publication History

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Abstract

In contrast to the student teams used for larger and longer group projects, in-class groups are often ephemeral, lasting for only a few minutes or until the end of the period. Because of this, little effort is put into forming these groups, usually letting the students self-select their teams. This paper argues that greater student interaction and learning can take place by usinginstructor-selected teams. Two group formation techniques for in-class group work, the latent jigsaw method and grouping students by Felder-Silverman learning styles, are presented. Observations from a classroom deployment of these techniques are also described.

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Wortmann CVahrenhold J(2024)Regulation, Self-Efficacy, and Participation in CS1 Group WorkProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671115(359-373)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671115
Arendt K(2023)Team Formation Strategies Among Prospective Entrepreneurs – Evidence From a Large-Scale Survey ExperimentEntrepreneurship Education and Pedagogy10.1177/251512742311649167:1(62-92)Online publication date: 22-Mar-2023
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Index Terms

Team formation methods for increasing interaction during in-class group work
1. Applied computing
  1. Education
    1. Collaborative learning

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Published In

ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education

June 2005

440 pages

ISBN:1595930248

DOI:10.1145/1067445

Conference Chairs:
José Cunha
Universidade Nova de Lisboa, Portugal
,
William Fleischman
Villanova University
,
Program Chairs:
Viera K. Proulx
Northeastern University
,
João Lourenço
Universidade Nova de Lisboa, Portugal

ACM SIGCSE Bulletin Volume 37, Issue 3
September 2005
418 pages
ISSN:0097-8418
DOI:10.1145/1151954
Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2005

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ITiCSE05

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ITiCSE05: Innovation and Technology in Computer Science Education

June 27 - 29, 2005

Caparica, Portugal

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Wortmann CVahrenhold J(2024)Regulation, Self-Efficacy, and Participation in CS1 Group WorkProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671115(359-373)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671115
Arendt K(2023)Team Formation Strategies Among Prospective Entrepreneurs – Evidence From a Large-Scale Survey ExperimentEntrepreneurship Education and Pedagogy10.1177/251512742311649167:1(62-92)Online publication date: 22-Mar-2023
https://doi.org/10.1177/25151274231164916
Barr M(2023)How to Learn a New Language: A Novel Introductory Programming CourseProceedings of the 7th Conference on Computing Education Practice10.1145/3573260.3573263(9-12)Online publication date: 6-Jan-2023
https://dl.acm.org/doi/10.1145/3573260.3573263
Kohli SRamachandran NTudor ATumushabe GHsu ORanade GDoyle MStephenson BDorn BSoh LBattestilli L(2023)Inclusive Study Group Formation at ScaleProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569885(11-17)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569885
Agyare BMatsumoto APatel MRanade G(2023)Student Feedback on Opt-in, Inclusive, Course-Integrated Study Groups2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343384(1-10)Online publication date: 18-Oct-2023
https://doi.org/10.1109/FIE58773.2023.10343384
Zhu HLi NRai NCarroll J(2022)SmartGroup: A Tool for Small-Group Learning ActivitiesFuture Internet10.3390/fi1501000715:1(7)Online publication date: 26-Dec-2022
https://doi.org/10.3390/fi15010007
Alharthi SRaptis GKatsini CDolgov INacke LToups Dugas P(2021)Investigating the Effects of Individual Cognitive Styles on Collaborative GameplayACM Transactions on Computer-Human Interaction10.1145/344579228:4(1-49)Online publication date: 11-Aug-2021
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Nadar NKamatchi R(2019)Information and Communication-Based Collaborative Learning and Behavior Modeling Using Machine Learning AlgorithmSocial Media and Machine Learning [Working Title]10.5772/intechopen.90427Online publication date: 12-Dec-2019
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Nurminen MHeino PIhantola PMontero CJoy M(2017)Friends and gurusProceedings of the 17th Koli Calling International Conference on Computing Education Research10.1145/3141880.3141905(80-87)Online publication date: 16-Nov-2017
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