Error categorization in novice code

In a longitudinal study accompanying an advanced programming course, we manually analyzed 710 programming errors and categorized them based on an established framework of programming errors. Students initially make few syntax errors, but numerous semantic and logical errors. Over time, semantic errors almost completely vanish. The number of logical errors also decreases, but they never vanish completely. This suggests that students quickly grasp the programming language, but take more time to understand concepts and express them in a programming language.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/se2025-ws-33
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Error categorization in novice code

Gesellschaft für Informatik (GI)
Teaching and Learning Programming
article

Error categorization in novice code

article en

Abstract

In a longitudinal study accompanying an advanced programming course, we manually analyzed 710 programming errors and categorized them based on an established framework of programming errors. Students initially make few syntax errors, but numerous semantic and logical errors. Over time, semantic errors almost completely vanish. The number of logical errors also decreases, but they never vanish completely. This suggests that students quickly grasp the programming language, but take more time to understand concepts and express them in a programming language.

Gesellschaft für Informatik (GI)
Quality Education
Openalex Percentile: Top 47%
Teaching and Learning Programming
DOIOpen Access PDFOpenAlex
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Error categorization in novice code · Gesellschaft für Informatik (GI) (2025) | TGRS Research Map | TGRS