Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges

Autor: Filipe Dwan Pereira, Samuel C. Fonseca, Sandra Wiktor, David B. F. Oliveira, Alexandra I. Cristea, Aileen Benedict, Mohammadali Fallahian, Mohsen Dorodchi, Leandro S. G. Carvalho, Rafael Ferreira Mello, Elaine H. T. Oliveira

Publikováno v: IEEE Access, Vol 11, Pp 22513-22525 (2023)

Online judges (OJ) are a popular tool to support programming learning. However, one major issue with OJs is that problems are often put together without any associated meta-information that could, for example, be used to help classify problems. This

Externí odkaz: https://doaj.org/article/337ae35acc464aada5e99898ed8b59cb

TOWARDS SUPPORTING CS1 INSTRUCTORS AND LEARNERS WITH FINE-GRAINED TOPIC DETECTION IN ONLINE JUDGES

Autor: Elaine Oliveira, Leandro S. G. Carvalho, Mohsen Dorodchi, Mohammadali Fallahian, Aileen Benedict, Alexandra Cristea, David Oliveira, Sandra Wiktor, Samuel C. Fonseca, Filipe Dwan Pereira

Online judges (OJs) are a popular tool to support programming learning. However, one major issue with OJs is that problems are often put together without any associated meta-information that could, for example, be used to help classify problems. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3181b1237679e5f704ef8c38162a3480
https://doi.org/10.36227/techrxiv.20181401.v1

Automatically Deciding on the Integration of Commits Based on Their Descriptions

Autor: Samuel C. Fonseca, Mateus C. Lucena, Tiago M. Reis, Pedro F. Cabral, Walmir A. Silva, Flavia de S. Santos, Felipe T. Giuntini, Juliano Sales

Publikováno v: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7a59501411babaa8a7391444b9d0873
https://doi.org/10.1109/ase51524.2021.9678906

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning

Autor: Leandro Silva Galvão de Carvalho, Ahmed Alamri, Samuel C. Fonseca, Hermino Barbosa de Freitas Júnior, Filipe Dwan Pereira, Seiji Isotani, David Braga Fernandes de Oliveira, Luiz Carlos Estraviz Rodriguez, Armando M. Toda, Elaine Harada Teixeira de Oliveira, Alexandra I. Cristea

Publikováno v: Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Cristea, Alexandra I. & Troussas, Christos (Eds.). Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. : Springer, pp. 466-480, Lecture Notes in Computer Science, Vol.12677

Programming online judges (POJs) are autograders that have been increasingly used in introductory programming courses (also known as CS1) since these systems provide instantaneous and accurate feedback for learners’ codes solutions and reduce instr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e9a79704ae19d8c423ed0c9b714666
https://doi.org/10.1007/978-3-030-80421-3_51

Deep learning for early performance prediction of introductory programming students : a comparative and explanatory study

Autor: Leandro Silva Galvão de Carvalho, Samuel C. Fonseca, Elaine Harada Teixeira de Oliveira, Alexandra I. Cristea, Filipe Dwan Pereira, David Braga Fernandes de Oliveira

Publikováno v: Brazilian journal of computers in education, 2020, Vol.28, pp.723-749 [Peer Reviewed Journal]

Introductory programming may be complex for many students. Moreover, there is a high failure and dropout rate in these courses. A potential way to tackle this problem is to predict student performance at an early stage, as it facilitates human-AI col

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8531ce94a343c8404a15cc359f7e9c
http://dro.dur.ac.uk/31880/1/31880.pdf