Measuring Students’ Performance on Programming Tasks

EFFENBERGER, Tomáš and Radek PELÁNEK. Measuring Students’ Performance on Programming Tasks. Online. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale (L@S '19). New York: ACM, 2019, p. "26:1"-"26:4", 4 pp. ISBN 978-1-4503-6804-9. Available from: https://dx.doi.org/10.1145/3330430.3333639.

Basic information

• Original name: Measuring Students’ Performance on Programming Tasks
• Authors: EFFENBERGER, Tomáš (203 Czech Republic, guarantor, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, belonging to the institution).
• Edition: New York, Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale (L@S '19), p. "26:1"-"26:4", 4 pp. 2019.
• Publisher: ACM

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: Plný text článku
• RIV identification code: RIV/00216224:14330/19:00110495
• Organization unit: Faculty of Informatics
• ISBN: 978-1-4503-6804-9
• Doi: http://dx.doi.org/10.1145/3330430.3333639
• UT WoS: 000507611000026
• Keywords in English: performance measures;introductory programming;student modeling
• Tags: International impact, Reviewed

Abstract

Large scale learning systems for introductory programming need to be able to automatically assess the quality of students' performance on programming tasks. This assessment is done using a performance measure, which provides feedback to students and teachers, and an input to the domain, student and tutor models. The choice of a good performance measure is nontrivial, since the performance of students can be measured in many ways, and the design of measure can interact with the adaptive features of a learning system or imperfections in the used domain model. We discuss the important design decisions and illustrate the process of an iterative design and evaluation of a performance measure in a case study.

Links

• MUNI/A/1018/2018, interní kód MU: Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.

Investor: Masaryk University, Category A