Standard

Automatic classification of error types in solutions to programming assignments at online learning platform. / Lobanov, Artyom; Bryksin, Timofey; Shpilman, Alexey.

Artificial Intelligence in Education : 20th International Conference, Proceedings, Part II. ред. / Seiji Isotani; Eva Millán; Amy Ogan; Bruce McLaren; Peter Hastings; Rose Luckin. Springer Nature, 2019. стр. 174-178 (Lecture Notes in Computer Science ; Том 11626 ).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Lobanov, A, Bryksin, T & Shpilman, A 2019, Automatic classification of error types in solutions to programming assignments at online learning platform. в S Isotani, E Millán, A Ogan, B McLaren, P Hastings & R Luckin (ред.), Artificial Intelligence in Education : 20th International Conference, Proceedings, Part II. Lecture Notes in Computer Science , Том. 11626 , Springer Nature, стр. 174-178, 20th International Conference on Artificial Intelligence in Education, AIED 2019, Chicago, Соединенные Штаты Америки, 25/06/19. https://doi.org/10.1007/978-3-030-23207-8_33

APA

Lobanov, A., Bryksin, T., & Shpilman, A. (2019). Automatic classification of error types in solutions to programming assignments at online learning platform. в S. Isotani, E. Millán, A. Ogan, B. McLaren, P. Hastings, & R. Luckin (Ред.), Artificial Intelligence in Education : 20th International Conference, Proceedings, Part II (стр. 174-178). (Lecture Notes in Computer Science ; Том 11626 ). Springer Nature. https://doi.org/10.1007/978-3-030-23207-8_33

Vancouver

Lobanov A, Bryksin T, Shpilman A. Automatic classification of error types in solutions to programming assignments at online learning platform. в Isotani S, Millán E, Ogan A, McLaren B, Hastings P, Luckin R, Редакторы, Artificial Intelligence in Education : 20th International Conference, Proceedings, Part II. Springer Nature. 2019. стр. 174-178. (Lecture Notes in Computer Science ). https://doi.org/10.1007/978-3-030-23207-8_33

Author

Lobanov, Artyom ; Bryksin, Timofey ; Shpilman, Alexey. / Automatic classification of error types in solutions to programming assignments at online learning platform. Artificial Intelligence in Education : 20th International Conference, Proceedings, Part II. Редактор / Seiji Isotani ; Eva Millán ; Amy Ogan ; Bruce McLaren ; Peter Hastings ; Rose Luckin. Springer Nature, 2019. стр. 174-178 (Lecture Notes in Computer Science ).

BibTeX

@inproceedings{e807e1d0a78b48118b832ad80e5627b3,
title = "Automatic classification of error types in solutions to programming assignments at online learning platform",
abstract = "Online programming courses are becoming more and more popular, but they still have significant drawbacks when compared to the traditional education system, e.g., the lack of feedback. In this study, we apply machine learning methods to improve the feedback of automated verification systems for programming assignments. We propose an approach that provides an insight on how to fix the code for a given incorrect submission. To achieve this, we detect frequent error types by clustering previously submitted incorrect solutions, label these clusters and use this labeled dataset to identify the type of an error in a new submission. We examine and compare several approaches to the detection of frequent error types and to the assignment of clusters to new submissions. The proposed method is evaluated on a dataset provided by a popular online learning platform.",
keywords = "Automatic evaluation, Classification, Clustering, MOOC, Programming",
author = "Artyom Lobanov and Timofey Bryksin and Alexey Shpilman",
year = "2019",
doi = "10.1007/978-3-030-23207-8_33",
language = "English",
isbn = "9783030232061",
series = "Lecture Notes in Computer Science ",
publisher = "Springer Nature",
pages = "174--178",
editor = "Seiji Isotani and Eva Mill{\'a}n and Amy Ogan and Bruce McLaren and Peter Hastings and Rose Luckin",
booktitle = "Artificial Intelligence in Education",
address = "Germany",
note = "20th International Conference on Artificial Intelligence in Education, AIED 2019 ; Conference date: 25-06-2019 Through 29-06-2019",

}

RIS

TY - GEN

T1 - Automatic classification of error types in solutions to programming assignments at online learning platform

AU - Lobanov, Artyom

AU - Bryksin, Timofey

AU - Shpilman, Alexey

PY - 2019

Y1 - 2019

N2 - Online programming courses are becoming more and more popular, but they still have significant drawbacks when compared to the traditional education system, e.g., the lack of feedback. In this study, we apply machine learning methods to improve the feedback of automated verification systems for programming assignments. We propose an approach that provides an insight on how to fix the code for a given incorrect submission. To achieve this, we detect frequent error types by clustering previously submitted incorrect solutions, label these clusters and use this labeled dataset to identify the type of an error in a new submission. We examine and compare several approaches to the detection of frequent error types and to the assignment of clusters to new submissions. The proposed method is evaluated on a dataset provided by a popular online learning platform.

AB - Online programming courses are becoming more and more popular, but they still have significant drawbacks when compared to the traditional education system, e.g., the lack of feedback. In this study, we apply machine learning methods to improve the feedback of automated verification systems for programming assignments. We propose an approach that provides an insight on how to fix the code for a given incorrect submission. To achieve this, we detect frequent error types by clustering previously submitted incorrect solutions, label these clusters and use this labeled dataset to identify the type of an error in a new submission. We examine and compare several approaches to the detection of frequent error types and to the assignment of clusters to new submissions. The proposed method is evaluated on a dataset provided by a popular online learning platform.

KW - Automatic evaluation

KW - Classification

KW - Clustering

KW - MOOC

KW - Programming

UR - http://www.scopus.com/inward/record.url?scp=85068320560&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23207-8_33

DO - 10.1007/978-3-030-23207-8_33

M3 - Conference contribution

AN - SCOPUS:85068320560

SN - 9783030232061

T3 - Lecture Notes in Computer Science

SP - 174

EP - 178

BT - Artificial Intelligence in Education

A2 - Isotani, Seiji

A2 - Millán, Eva

A2 - Ogan, Amy

A2 - McLaren, Bruce

A2 - Hastings, Peter

A2 - Luckin, Rose

PB - Springer Nature

T2 - 20th International Conference on Artificial Intelligence in Education, AIED 2019

Y2 - 25 June 2019 through 29 June 2019

ER -

ID: 43773654