Giving Automated Feedback About Student Code Identifiers: a Method Based on the Description of Programming Problem | Zendy

Marcos Nascimento | Zendy; Eliane Pawlowski Oliveira Araújo | Zendy; Dalton Serey | Zendy; Jorge César Abrantes de Figueiredo | Zendy

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Giving Automated Feedback About Student Code Identifiers: a Method Based on the Description of Programming Problem

Author(s) -

Marcos Nascimento,

Eliane Pawlowski Oliveira Araújo,

Dalton Serey,

Jorge César Abrantes de Figueiredo

Publication year - 2019

Publication title -

anais do xxx simpósio brasileiro de informática na educação (sbie 2019)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/cbie.sbie.2019.537

Subject(s) - identifier , readability , computer science , coding (social sciences) , contrast (vision) , quality (philosophy) , multimedia , code (set theory) , artificial intelligence , programming language , philosophy , statistics , mathematics , set (abstract data type) , epistemology

Providing timely feedback on identifier naming to novice programmers can help them to improve their program readability. However, due to the growth in the number of students learning to program nowadays, giving manual feedback on identifier quality become prohibitive. In this paper, we propose a method to automatically give this feedback which is correct 75.0% of the time in contrast to the instructors’ assessment. We found that 51.7% of the students who received automated feedback showed their program identifier quality improvement by picking better names. It means that we can help students to improve identifier naming and consequently, their program readability from early cod-

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