Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education 2018
DOI: 10.1145/3197091.3197133
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Where exactly are the difficulties in reasoning logically about code? experimentation with an online system

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Cited by 7 publications
(5 citation statements)
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“…It is just not possible to run every possible test scenario. For example, in a junior level software engineering course, 50% of students found the code segment in Listing 1 was a correct implementation for finding the maximum value between two integers (Cook et al, 2018).…”
Section: Foundations Of Computer Sciencementioning
confidence: 99%
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“…It is just not possible to run every possible test scenario. For example, in a junior level software engineering course, 50% of students found the code segment in Listing 1 was a correct implementation for finding the maximum value between two integers (Cook et al, 2018).…”
Section: Foundations Of Computer Sciencementioning
confidence: 99%
“…A key aim of using automated tools is to understand the specific fine-grain learning difficulties students face when reasoning about code so that appropriate interventions may be developed (Cook et al, 2018;Fowler et al, 2019;Priester et al, 2016). By "fine-grain," we mean understanding student difficulties at a resolution that exceeds identifying high-level constructs that might present challenges (e.g., functions, loops, parameter passing) to reveal the underlying cause(s) of a learning roadblock (e.g., a missing algebraic foundation or a flaw in the student's mental model of variable storage).…”
Section: Research Objectivesmentioning
confidence: 99%
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