Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Mohsen Dorodchi"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 171-198 (2024)
In data-driven systems, data exploration is imperative for making real-time decisions. However, big data are stored in massive databases that are difficult to retrieve. Approximate Query Processing (AQP) is a technique for providing approximate answe
Externí odkaz:
https://doaj.org/article/9c800dcd6ee6494480e045b7f6f64bb5
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
Publikováno v:
Informatics in Education, Vol 20, Iss 4, Pp 515-532 (2021)
Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while
Externí odkaz:
https://doaj.org/article/2050288587d144848cfd7c0c5594003b
Autor:
Elise Demeter, Mohsen Dorodchi, Erfan Al-Hossami, Aileen Benedict, Lisa Slattery Walker, John Smail
Publikováno v:
Higher Education. 84:589-609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95192151f045d2f8905612643d54fb74
https://doi.org/10.1007/s10734-021-00790-9
https://doi.org/10.1007/s10734-021-00790-9
Autor:
Filipe Dwan Pereira, Luiz Rodrigues, Marcelo Henklain, Hermino Freitas, David Fernandes Oliveira, Alexandra I. Cristea, Leandro Carvalho, Seiji Isotani, Aileen Benedict, Mohsen Dorodchi, Elaine H. T. Oliveira
Publikováno v:
IEEE Transactions on Learning Technologies. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::236ef2baddb8a0007d46875469759c3b
https://doi.org/10.1109/tlt.2022.3224121
https://doi.org/10.1109/tlt.2022.3224121
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 6:90-100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b638f9560896da34b03c5f3e1ee6e28b
https://doi.org/10.25046/aj060512
https://doi.org/10.25046/aj060512
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
https://doi.org/10.36227/techrxiv.20181401.v1
Autor:
Nasheen Nur, Aileen Benedict, Omar Eltayeby, Wenwen Dou, Mohsen Dorodchi, Xi Niu, Mary Lou Maher, C.N. Chambers
Publikováno v:
EDULEARN Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b85896e76f74d931cb54aa74df5afcd7
https://doi.org/10.21125/edulearn.2022.2497
https://doi.org/10.21125/edulearn.2022.2497
Publikováno v:
LAK22: 12th International Learning Analytics and Knowledge Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a10a25e73ffa1f2e23cd469aa705cb
https://doi.org/10.1145/3506860.3506903
https://doi.org/10.1145/3506860.3506903
Publikováno v:
2021 IEEE Frontiers in Education Conference (FIE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2028e238658014eb871b73b1be0ad628
https://doi.org/10.1109/fie49875.2021.9637464
https://doi.org/10.1109/fie49875.2021.9637464