Measuring Item Similarity in Introductory Programming

D 2018

Measuring Item Similarity in Introductory Programming

PELÁNEK, Radek, Tomáš EFFENBERGER, Matěj VANĚK, Vojtěch SASSMANN, Dominik GMITERKO et. al.

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Abstract

V originále

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 MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.

Investor: Masaryk University, Category A

Citovat

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.

@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 and 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, p.~''19:1''-''19:4'', 4 pp. ISBN~978-1-4503-5886-6. Available from: https://dx.doi.org/10.1145/3231644.3231676.

Detailed Information on Publication Record