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Where exactly are the difficulties in reasoning logically about code? experimentation with an online system

Published: 02 July 2018 Publication History

Abstract

CS students can typically reason about what a piece of code does on specific inputs. While this is a useful starting point, graduates must also be able to logically analyze, comprehend, and predict the behavior of their code in more general terms, no matter what the inputs are. Results of data collection and analysis from an online educational system show it can help to pinpoint the difficulties in doing this for individual students and groups, and to partition the groups in terms of their difficulties so that instructional interventions may be better targeted. Unlike traditional debugging, this online system helps reveal difficulties in reasoning in more general terms because it is equipped with a verification engine.

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Cited By

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  • (2022)Network Visualization and Assessment of Student Reasoning About ConditionalsProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 110.1145/3502718.3524793(255-261)Online publication date: 7-Jul-2022
  • (2022)Automated Analysis of Student Verbalizations in Online Learning EnvironmentsEmerging Technologies for Education10.1007/978-3-030-92836-0_25(290-302)Online publication date: 28-Jan-2022
  • (2020)Tool-Aided Assessment of Difficulties in Learning Formal Design-by-Contract AssertionsProceedings of the 4th European Conference on Software Engineering Education10.1145/3396802.3396807(52-60)Online publication date: 18-Jun-2020
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cover image ACM Conferences
ITiCSE 2018: Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
July 2018
394 pages
ISBN:9781450357074
DOI:10.1145/3197091
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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Publication History

Published: 02 July 2018

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Author Tags

  1. Activities
  2. correctness
  3. logic
  4. online system
  5. reasoning
  6. tool

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

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Cited By

View all
  • (2022)Network Visualization and Assessment of Student Reasoning About ConditionalsProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 110.1145/3502718.3524793(255-261)Online publication date: 7-Jul-2022
  • (2022)Automated Analysis of Student Verbalizations in Online Learning EnvironmentsEmerging Technologies for Education10.1007/978-3-030-92836-0_25(290-302)Online publication date: 28-Jan-2022
  • (2020)Tool-Aided Assessment of Difficulties in Learning Formal Design-by-Contract AssertionsProceedings of the 4th European Conference on Software Engineering Education10.1145/3396802.3396807(52-60)Online publication date: 18-Jun-2020
  • (2019)Engaging in Logical Code Reasoning with an Activity-Based Online ToolProceedings of the 50th ACM Technical Symposium on Computer Science Education10.1145/3287324.3293754(1289-1289)Online publication date: 22-Feb-2019
  • (2019)Impact of Steps, Instruction, and Motivation on Learning Symbolic Reasoning Using an Online ToolProceedings of the 50th ACM Technical Symposium on Computer Science Education10.1145/3287324.3287401(1039-1045)Online publication date: 22-Feb-2019
  • (2018)What Are They Thinking?Proceedings of the 18th Koli Calling International Conference on Computing Education Research10.1145/3279720.3279728(1-10)Online publication date: 22-Nov-2018

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