PELÁNEK, Radek, Tomáš EFFENBERGER, Matěj VANĚK, Vojtěch SASSMANN and Dominik GMITERKO. Measuring Item Similarity in Introductory Programming. Online. In Rose Luckin, Scott Klemmer, Kenneth R. Koedinger. Proceedings of the Fifth Annual ACM Conference on Learning at Scale. New York, NY, USA: ACM, 2018, p. "19:1"-"19:4", 4 pp. ISBN 978-1-4503-5886-6. Available from: https://dx.doi.org/10.1145/3231644.3231676.
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Basic information
Original name Measuring Item Similarity in Introductory Programming
Authors PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution), Tomáš EFFENBERGER (203 Czech Republic, belonging to the institution), Matěj VANĚK (203 Czech Republic, belonging to the institution), Vojtěch SASSMANN (203 Czech Republic, belonging to the institution) and Dominik GMITERKO (703 Slovakia, belonging to the institution).
Edition New York, NY, USA, Proceedings of the Fifth Annual ACM Conference on Learning at Scale, p. "19:1"-"19:4", 4 pp. 2018.
Publisher ACM
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/18:00104017
Organization unit Faculty of Informatics
ISBN 978-1-4503-5886-6
Doi http://dx.doi.org/10.1145/3231644.3231676
UT WoS 000546308900019
Keywords in English similarity; programming
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/6/2022 12:07.
Abstract
A personalized learning system needs a large pool of items for learners to solve. When working with a large pool of items, it is useful to measure the similarity of items. We outline a general approach to measuring the similarity of items and discuss specific measures for items used in introductory programming. Evaluation of quality of similarity measures is difficult. To this end, we propose an evaluation approach utilizing three levels of abstraction. We illustrate our approach to measuring similarity and provide evaluation using items from three diverse programming environments.
Links
MUNI/A/0854/2017, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.
Investor: Masaryk University, Category A
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