| PELÁNEK, Radek, Tomáš EFFENBERGER, Matěj VANĚK, Vojtěch SASSMANN a 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, s. "19:1"-"19:4", 4 s. ISBN 978-1-4503-5886-6. Dostupné z: https://dx.doi.org/10.1145/3231644.3231676. |
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@inproceedings{1448736,
author = {Pelánek, Radek and Effenberger, Tomáš and Vaněk, Matěj and Sassmann, Vojtěch and Gmiterko, Dominik},
address = {New York, NY, USA},
booktitle = {Proceedings of the Fifth Annual ACM Conference on Learning at Scale},
doi = {http://dx.doi.org/10.1145/3231644.3231676},
editor = {Rose Luckin, Scott Klemmer, Kenneth R. Koedinger},
keywords = {similarity; programming},
howpublished = {elektronická verze "online"},
language = {eng},
location = {New York, NY, USA},
isbn = {978-1-4503-5886-6},
pages = {"19:1"-"19:4"},
publisher = {ACM},
title = {Measuring Item Similarity in Introductory Programming},
year = {2018}
}
TY - JOUR
ID - 1448736
AU - Pelánek, Radek - Effenberger, Tomáš - Vaněk, Matěj - Sassmann, Vojtěch - Gmiterko, Dominik
PY - 2018
TI - Measuring Item Similarity in Introductory Programming
PB - ACM
CY - New York, NY, USA
SN - 9781450358866
KW - similarity
KW - programming
N2 - 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.
ER -
PELÁNEK, Radek, Tomáš EFFENBERGER, Matěj VANĚK, Vojtěch SASSMANN a Dominik GMITERKO. Measuring Item Similarity in Introductory Programming. Online. In Rose Luckin, Scott Klemmer, Kenneth R. Koedinger. \textit{Proceedings of the Fifth Annual ACM Conference on Learning at Scale}. New York, NY, USA: ACM, 2018, s.~''19:1''-''19:4'', 4 s. ISBN~978-1-4503-5886-6. Dostupné z: https://dx.doi.org/10.1145/3231644.3231676.
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