Logo des Repositoriums
 
Konferenzbeitrag

Automatic Evaluation of Haskell Assignments Using Existing Haskell Tooling

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2023

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

Learning Haskell is hard for many students because of its functional nature. What is more, Haskell uses a sophisticated type system that many students find quite confusing in the beginning. Therefore, providing timely feedback regarding correctness and quality for student Haskell solutions is important, a challenge particularly in large courses. Computer-assisted correction of submissions offers a way to help tutors and students alike, but this requires the computer to understand the language. Parsing the student submissions into a syntax tree and analyzing the syntax tree is one possibility, however, this paper describes a more straightforward approach that uses only a Haskell compiler and a few standard tools. Based on a migration of a Haskell course with manual to automatic correction we classified assignment into different categories and describe this approach in detail for each category.

Beschreibung

Prokosch, Thomas; Strickroth, Sven (2023): Automatic Evaluation of Haskell Assignments Using Existing Haskell Tooling. Proceedings of the Sixth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2023). DOI: 10.18420/abp2023-3. Gesellschaft für Informatik e.V.. Vollbeiträge. Munich, Germany. October 12-13, 2023

Zitierform

Tags