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Constructivism in computer science education

Author:

Mordechai Ben-AriAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 30, Issue 1

Pages 257 - 261

https://doi.org/10.1145/274790.274308

Published: 01 March 1998 Publication History

Abstract

Constructivism is a theory of learning which claims that students construct knowledge rather than merely receive and store knowledge transmitted by the teacher. Constructivism has been extremely influential in science and mathematics education, but not in computer science education (CSE). This paper surveys constructivism in the context of CSE, and shows how the theory can supply a theoretical basis for debating issues and evaluating proposals.

References

[1]

R. B. Davis, C. A. Maher, and N. Noddings, editors. Constructivist Views of the Teaching and Learning of Mathematics. J. for Research in Mathematics Education. Monograph No. 4. National Council for the Teaching of Mathematics, 1990.

[2]

A. A. diSessa, H. Abelson, and D. Ploger. An overview of boxer. Journal of Mathematical Behavior, 10:3-15, 1991. .

[3]

B. du Boulay. Some difficulties of learning to program. In Soloway and Spohrer {17}, pages 283-299.

[4]

R. Duit. Students' conceptual frameworks: consequences for learning science. In Glynn et al {7}, pages 65--85.

[5]

P. Ernest. The one and the many. In Steffe and

[6]

S. M. Glynn. Explaining science con~pts: a teaching-with-analogies model. In Glynn et al. {7}, pages 219-240.

[7]

s. M. G1ynn, R. H. Yeany, and B. K. Britton, editors. The Psychology of Learning Science. Lawrence Erlbaum Associates, 1991.

[8]

S. Holland, R. Griffiths, and M. Woodman. Avoiding object misconceptions. SIGCSE Bulletin, 29(1)'131-134, 1997.

Digital Library

[9]

S. K. Madison. A Study of College Students' Construct of Parameter Passing: Implications for Instruction. PhD thesis, U. of Wisconsin, 1995.

Digital Library

[10]

R. E. Mayer, editor. Teaching and Learning Computer Programming. Lawrence Erlbaum Associates, 1988.

[11]

R. D. Pea. Language-independent conceptual "bugs" in novice programming. Journal of Educational Computing Research, 2(1):25-36, 1986.

[12]

D. Perkins, S. Schwartz, and R. Simmons. Instructional strategies for the problems of novice programmers. InMayer {10}, pages 153-178.

[13]

L. Sherry. A model computer simulation as an epistemic game. SIGCSE Bulletin, 3(2):59-64, 1995.

Digital Library

[14]

D. Sleeman, R. T. Putnam, J. A. Baxter, and L. Kuspa. An introductory pascal class: A case study of student errors. In Mayer {10}, pages 237-257.

[15]

D. Sleeman, R. 'T. Putnana, J. A. Baxter, and L. Kuspa. A summary of misconceptions of high school basic programmers. In Soloway and Spohrer {17}, pages 301-314.

[16]

J. E Smith HI, A. A. diSessa, and J. Roschelle. Misconceptions reconceived" A constructivist analysis of knowledge in transition. The Journal of The Learning Sciences, 3(2)'115-163, 1993.

[17]

E. Soloway and J. C. Spohrer, editors. Studying the Novice Programmer. Lawrence Erlbaum Associates, 1989.

Digital Library

[18]

L. P. Steffe and J. Gale, editors. Constructivism in Education. Lawrence Erlbaum Associates, 1995.

[19]

S. Turkle and S. Papert. Epistemological pluralism: Styles and cultures within the computer culture. Signs: Journal of Women in Culture and Society, 16(1):128-148, 1990.

[20]

E. yon Glaserseld. A constructivist approach to teaching. In Steffe and Gale {18}, pages 3-15.

Cited By

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Cayetano-Jiménez IBustamante-Bello RRamírez-Cadena M(2024)Bridging the gap: bioinspired robotics as catalyst for interdisciplinary educationFrontiers in Education10.3389/feduc.2024.13754879Online publication date: 14-May-2024
https://doi.org/10.3389/feduc.2024.1375487
Mladenović MŽanko ŽZaharija G(2024)From Blocks to Text: Bridging Programming MisconceptionsJournal of Educational Computing Research10.1177/0735633124124004762:5(1302-1326)Online publication date: 2-Apr-2024
https://doi.org/10.1177/07356331241240047
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Index Terms

Constructivism in computer science education
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education

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Information & Contributors

Information

Published In

cover image ACM SIGCSE Bulletin

ACM SIGCSE Bulletin Volume 30, Issue 1

Mar. 1998

376 pages

ISSN:0097-8418

DOI:10.1145/274790

Chairmen:
John Lewis
Villanova Univ., Villanova, PA
,
Jane Prey
Univ. of Virginia
,
Editors:
John Impagliazzo
Hofstra Univ., Hempstead
,
Daniel Joyce
Villanova Univ., Villanova, PA

Issue’s Table of Contents

SIGCSE '98: Proceedings of the twenty-ninth SIGCSE technical symposium on Computer science education
March 1998
396 pages
ISBN:0897919947
DOI:10.1145/273133
Chairmen:
John Lewis
Villanova Univ., Villanova, PA
,
Jane Prey
Univ. of Virginia
,
Editors:
Daniel Joyce
Villanova Univ., Villanova, PA
,
John Impagliazzo
Hofstra Univ., Hempstead, NY

Copyright © 1998 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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1998

Published in SIGCSE Volume 30, Issue 1

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Cited By

Korkmaz B(2024)An Investigation of Brain-Based Learning Principles in Today's Changing ConditionsAnadolu Üniversitesi Eğitim Fakültesi Dergisi10.34056/aujef.13317288:2(801-825)Online publication date: 29-Apr-2024
https://doi.org/10.34056/aujef.1331728
Cayetano-Jiménez IBustamante-Bello RRamírez-Cadena M(2024)Bridging the gap: bioinspired robotics as catalyst for interdisciplinary educationFrontiers in Education10.3389/feduc.2024.13754879Online publication date: 14-May-2024
https://doi.org/10.3389/feduc.2024.1375487
Mladenović MŽanko ŽZaharija G(2024)From Blocks to Text: Bridging Programming MisconceptionsJournal of Educational Computing Research10.1177/0735633124124004762:5(1302-1326)Online publication date: 2-Apr-2024
https://doi.org/10.1177/07356331241240047
Vassar ARenzella JRoss ETaylor A(2024)Fine-Tuning Large Language Models for Better Programming Error ExplanationsProceedings of the 24th Koli Calling International Conference on Computing Education Research10.1145/3699538.3699581(1-2)Online publication date: 12-Nov-2024
https://dl.acm.org/doi/10.1145/3699538.3699581
Müller-Unterweger MBerges M(2024)Introduction to Programming using Ozobots in an Economics Major CS-ClassProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678136(1-2)Online publication date: 16-Sep-2024
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Pamplona SBravo-Agapito JSeoane I(2024)An Approach to Discover Students’ Conceptions in Online Computing Education: A Case Study of Students’ Understanding of Virtual MemoryIEEE Access10.1109/ACCESS.2024.344244012(111546-111564)Online publication date: 2024
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Konecki MKonecki MVlahov D(2023)Using Virtual Reality in Education of Programming2023 11th International Conference on Information and Education Technology (ICIET)10.1109/ICIET56899.2023.10111156(39-43)Online publication date: 18-Mar-2023
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Babari PHielscher MEdelsbrunner PConti MHonegger BMarinus E(2023)A literature review of children’s and youth’s conceptions of the internetInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2023.10059537:COnline publication date: 1-Sep-2023
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