Quando Casos de Teste Não São Suficientes: Identificação, Avaliação e Justificativas de Problemas de Compreensão em Códigos Corretos (PC³)
DOI:
https://doi.org/10.5753/rbie.2023.3552Palavras-chave:
Programação Introdutória, Avaliação Automática, problemas de compreensão, autograders, CS1Resumo
Sistemas de avaliação automática de código (autograders) auxiliam no processo de ensino em disciplinas de introdução à programação (CS1). Contudo, o foco exclusivo na correção pode ofuscar a avaliação de outras características presentes no código. Neste trabalho, investigamos se códigos, considerados corretos por um autograder, foram desenvolvidos com características que indicavam possíveis compreensões incorretas dos conceitos ensinados em CS1. Essas características foram denominadas Problemas de Compreensão em Códigos Corretos (PC³). Ao analisar 2.441 códigos desenvolvidos por alunos de CS1, foi elaborada uma lista inicial de 45 PC³. Essa lista foi avaliada por instrutores de CS1, resultando na identificação dos PC³ que deveriam ser corrigidos em sala de aula. Os 15 MC³ mais graves foram selecionados para uma investigação maior, composta por uma observação semiestruturada em um curso de CS1 e um software de detecção automática usando análise estática de código. Os resultados obtidos mostraram que os alunos desenvolvem esses PC³ ou em decorrência de uma compreensão incompleta dos conceitos ensinados na disciplina CS1 ou por falta de atenção na elaboração de seu código, porque o aluno só estava focando na corretude. Acreditamos que nossos resultados podem contribuir para: (1) a área de pesquisa de problemas de compreensão em CS1; (2) promover abordagens alternativas para complementar o uso de autograders em CS1; e (3) fornecer uma base para o desenvolvimento de intervenções de ensino envolvendo os PC³ em CS1.
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