Code Quality Defects Across Introductory Programming Topics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127006" target="_blank" >RIV/00216224:14330/22:00127006 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3478431.3499415" target="_blank" >https://doi.org/10.1145/3478431.3499415</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3478431.3499415" target="_blank" >10.1145/3478431.3499415</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Code Quality Defects Across Introductory Programming Topics

Popis výsledku v původním jazyce

Research on feedback in introductory programming focuses mostly on incomplete and incorrect programs. However, most of the functionally correct programs also contain defects that call for feedback. We analyzed 114,000 solutions to 161 short coding problems in Python and compiled a catalog of 32 defects in code quality. We found that most correct solutions contain some defects and that students do not stop making them if they do not receive targeted feedback. The catalog of defects, together with their prevalence across common topics like expressions, loops, and lists, informs educators which defects to address in which lectures and guides the development of exercises on code quality. Additionally, we describe defect detectors, which can be used to generate valuable feedback to students automatically.

Název v anglickém jazyce

Code Quality Defects Across Introductory Programming Topics

Popis výsledku anglicky

Research on feedback in introductory programming focuses mostly on incomplete and incorrect programs. However, most of the functionally correct programs also contain defects that call for feedback. We analyzed 114,000 solutions to 161 short coding problems in Python and compiled a catalog of 32 defects in code quality. We found that most correct solutions contain some defects and that students do not stop making them if they do not receive targeted feedback. The catalog of defects, together with their prevalence across common topics like expressions, loops, and lists, informs educators which defects to address in which lectures and guides the development of exercises on code quality. Additionally, we describe defect detectors, which can be used to generate valuable feedback to students automatically.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1

ISBN

9781450390705

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

941-947

Název nakladatele

Association for Computing Machinery

Místo vydání

New York, NY, USA

Místo konání akce

Providence, RI, USA

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000884263800136