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The greedy trap and learning from mistakes

Published: 11 January 2003 Publication History

Abstract

Educators' approach towards their students' mistakes can have significant impact on the students. This paper presents a rather less considered approach of teaching by capitalizing on mistakes. In the course of teaching our students algorithm design, we noticed the phenomenon of students' "over-reliance" on intuition rather than rigor. In particular, we noticed a repeated erroneous trend of turning to intuitive, but inadequate greedy algorithmic solutions. We capitalized on the student errors for influencing their attitude and beliefs regarding intuition and rigor. The paper displays the student errors and our capitalization-on-errors approach, with colorful and novel algorithmic tasks.

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Mayer R.E. (Ed.), Teaching and Learning Computer Programming: Multiple Research Perspectives, Lawrence Erlbaum, (1988).
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Cited By

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  • (2022)Teachers' approaches to student errors in mathematics teaching and noticing of their approachesActa Didactica Napocensia10.24193/adn.15.2.1415:2(209-229)Online publication date: 31-Dec-2022
  • (2021)Algodynamics: Algorithms as systems2021 IEEE Frontiers in Education Conference (FIE)10.1109/FIE49875.2021.9637441(1-9)Online publication date: 13-Oct-2021
  • (2020)Ortaokul Matematik Öğretmenlerinin Modellemeye İlişkin Hata Yaklaşımlarının İncelenmesiAnemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi10.18506/anemon.637049Online publication date: 15-Jun-2020
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Published In

cover image ACM Conferences
SIGCSE '03: Proceedings of the 34th SIGCSE technical symposium on Computer science education
February 2003
444 pages
ISBN:158113648X
DOI:10.1145/611892
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: 11 January 2003

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Author Tags

  1. pedagogy
  2. student errors

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SIGCSE03
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SIGCSE03: SIGCSE 2003 Symposium
February 19 - 23, 2003
Navada, Reno, USA

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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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Cited By

View all
  • (2022)Teachers' approaches to student errors in mathematics teaching and noticing of their approachesActa Didactica Napocensia10.24193/adn.15.2.1415:2(209-229)Online publication date: 31-Dec-2022
  • (2021)Algodynamics: Algorithms as systems2021 IEEE Frontiers in Education Conference (FIE)10.1109/FIE49875.2021.9637441(1-9)Online publication date: 13-Oct-2021
  • (2020)Ortaokul Matematik Öğretmenlerinin Modellemeye İlişkin Hata Yaklaşımlarının İncelenmesiAnemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi10.18506/anemon.637049Online publication date: 15-Jun-2020
  • (2019)The Influence of Mistake-Handling Activities on Mathematics Education: An Example of DefinitionsEuropean Journal of Educational Research10.12973/eu-jer.8.2.467volume-8-2019:volume8-issue2.html(467-476)Online publication date: 15-Apr-2019
  • (2016)Design and Evaluation of OptimEx, an Experimentation System for Optimization AlgorithmsICT in Education10.1007/978-3-319-22900-3_4(51-68)Online publication date: 2016
  • (2015)A Review of Teaching and Learning through Practice of Optimization AlgorithmsInnovative Teaching Strategies and New Learning Paradigms in Computer Programming10.4018/978-1-4666-7304-5.ch004(65-87)Online publication date: 2015
  • (2015)GATutorProceedings of the 2015 IEEE Seventh International Conference on Technology for Education (T4E)10.1109/T4E.2015.26(61-68)Online publication date: 10-Dec-2015
  • (2014)Evaluation of a Didactic Method for the Active Learning of Greedy AlgorithmsIEEE Transactions on Education10.1109/TE.2013.227515457:2(83-91)Online publication date: 1-May-2014
  • (2013)An Experimental Method for the Active Learning of Greedy AlgorithmsACM Transactions on Computing Education10.1145/253497213:4(1-23)Online publication date: 1-Nov-2013
  • (2013)Constructive use of errors in teaching CS1Proceeding of the 44th ACM technical symposium on Computer science education10.1145/2445196.2445300(353-358)Online publication date: 6-Mar-2013
  • Show More Cited By

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