When Test Cases Are Not Enough: Identification, Assessment, and Rationale of Misconceptions in Correct Code (MC³)
Eryck Pedro da Silva,
Ricardo Caceffo,
Rodolfo Azevedo
Abstract:Automated grading systems (autograders) assist the process of teaching in introductory programming courses (CS1). However, the sole focus on correctness can obfuscate the assessment of other characteristics present in code. In this work, we investigated if code, deemed correct by an autograder, were developed with characteristics that indicated potential misunderstandings of the concepts taught in CS1. These characteristics were nominated Misconceptions in Correct Code (MC³). By analyzing 2,441 codes developed… Show more
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