2023
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Ordonez-Avila, R; Reyes, N S; Meza, J; Ventura, S Data mining techniques for predicting teacher evaluation in higher education. A systematic literature review Journal Article Heliyon, 2023. BibTeX | Tags: Educational Data Mining @article{ordonez2023data,
title = {Data mining techniques for predicting teacher evaluation in higher education. A systematic literature review},
author = {Ordonez-Avila, R. and Reyes, N. S. and Meza, J. and Ventura, S.},
year = {2023},
date = {2023-01-01},
journal = {Heliyon},
publisher = {Elsevier},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2022
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Romero, C; W., Chango; R., Cerezo Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students Inproceedings Mitrovic, Antonija; Bosch, Nigel (Ed.): Proceedings of the 15th International Conference on Educational Data Mining, pp. 725–728, International Educational Data Mining Society, Durham, United Kingdom, 2022, ISBN: 978-1-7336736-3-1. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{2022.EDM-posters.90,
title = {Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students},
author = {Romero, C. and Chango W. and Cerezo R.},
editor = {Antonija Mitrovic and Nigel Bosch},
doi = {10.5281/zenodo.6853089},
isbn = {978-1-7336736-3-1},
year = {2022},
date = {2022-07-01},
booktitle = {Proceedings of the 15th International Conference on Educational Data Mining},
pages = {725--728},
publisher = {International Educational Data Mining Society},
address = {Durham, United Kingdom},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Al-Twijri, M; Luna, J M; Herrera, F; Ventura, S Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns Journal Article Cognitive Computation, pp. 1-22, 2022. Links | BibTeX | Tags: Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining @article{AlTwijri2022,
title = {Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns},
author = {Al-Twijri, M. and Luna, J. M. and Herrera, F. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12559-022-10015-5},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Computation},
pages = {1-22},
publisher = {Springer US},
keywords = {Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article Interactive Learning Environments, 30 (1), pp. 127–145, 2022. Links | BibTeX | Tags: Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery @article{luna2022subgroup,
title = {Subgroup discovery in MOOCs: a big data application for describing different types of learners},
author = {Luna, J. M. and Fardoun, H. M. and Padillo, F. and Romero, C. and Ventura, S.},
url = {https://www.tandfonline.com/doi/abs/10.1080/10494820.2019.1643742},
doi = {10.1080/10494820.2019.1643742},
year = {2022},
date = {2022-01-01},
journal = {Interactive Learning Environments},
volume = {30},
number = {1},
pages = {127--145},
publisher = {Taylor & Francis},
keywords = {Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
Chango, W; Lara, J; Cerezo, R; Romero, C A review on data fusion in multimodal learning analytics and educational data mining Journal Article pp. e1458, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Chango2022,
title = {A review on data fusion in multimodal learning analytics and educational data mining},
author = {Chango, W. and Lara, J. and Cerezo, R. and Romero, C.},
url = {https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/widm.1458},
year = {2022},
date = {2022-01-01},
pages = {e1458},
publisher = {Wiley Periodicals, Inc},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
López-Zambrano, J; Lara, J; Romero, C Improving the portability of predicting students’ performance models by using ontologies Journal Article Journal of Computing in Higher Education, 34 (1), pp. 1-19, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Supervised Learning @article{LopezZambrano2022,
title = {Improving the portability of predicting students’ performance models by using ontologies},
author = {L\'{o}pez-Zambrano, J. and Lara, J. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09273-3},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {1-19},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S Design of peer assessment rubrics for ICT topics Journal Article Journal of Computing in Higher Education, 34 (1), pp. 211-241, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Bowen2022,
title = {Design of peer assessment rubrics for ICT topics},
author = {Bowen-Mendoza, L. and Pinargote-Ortega, M. and Meza, J. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12528-021-09297-9},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {211-241},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Maqsood, R; Ceravolo, P; Romero, C; Ventura, S Modeling and predicting students’ engagement behaviors using mixture Markov models Journal Article Knowledge and Information Systems, pp. 1-36, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning @article{Maqsood2022,
title = {Modeling and predicting students’ engagement behaviors using mixture Markov models},
author = {Maqsood, R. and Ceravolo, P. and Romero, C. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s10115-022-01674-9},
year = {2022},
date = {2022-01-01},
journal = {Knowledge and Information Systems},
pages = {1-36},
publisher = {Springer London},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Zafra, A; Gibaja, E; Luque, M Interactive learning and formative assessment in the classroom using quizziz Inproceedings International Handbook of Innovation and Assessment of the Quality of Higher Education and Research. Vol. 1, pp. 187, Thomson Reuters-Civitas 2022. BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{zafra2022interactive,
title = {Interactive learning and formative assessment in the classroom using quizziz},
author = {Zafra, A. and Gibaja, E. and Luque, M.},
year = {2022},
date = {2022-01-01},
booktitle = {International Handbook of Innovation and Assessment of the Quality of Higher Education and Research. Vol. 1},
pages = {187},
organization = {Thomson Reuters-Civitas},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2021
|
Esteban, A; Romero, C; Zafra, A Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses Journal Article Applied Sciences, 11 (21), pp. 10145, 2021. Links | BibTeX | Tags: Educational Data Mining, Multi-instance Learning, Predicting Student Performance @article{esteban2021assignments,
title = {Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses},
author = {Esteban, A. and Romero, C. and Zafra, A.},
url = {https://www.mdpi.com/2076-3417/11/21/10145},
doi = {10.3390/app112110145},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {21},
pages = {10145},
publisher = {MDPI},
keywords = {Educational Data Mining, Multi-instance Learning, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Lopez, J; Lara, J; Romero, C Early prediction of student learning performance through data mining: A systematic review Journal Article Psicothema, 2021. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{lopez2021early,
title = {Early prediction of student learning performance through data mining: A systematic review},
author = {Lopez, J. and Lara, J. and Romero, C.},
url = {http://doi.org/10.7334/psicothema2021.62},
doi = {10.7334/psicothema2021.62},
year = {2021},
date = {2021-01-01},
journal = {Psicothema},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Chango, W; Cerezo, R; Sanchez-Santillan, M; Azevedo, R; Romero, C Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources Journal Article Journal of Computing in Higher Education, 33 (3), pp. 614–634, 2021. Links | BibTeX | Tags: Classification, Data Science, Educational Data Mining, Supervised Learning @article{chango2021improving,
title = {Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources},
author = {Chango, W. and Cerezo, R. and Sanchez-Santillan, M. and Azevedo, R. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09298-8},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computing in Higher Education},
volume = {33},
number = {3},
pages = {614--634},
publisher = {Springer},
keywords = {Classification, Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Cerezo, R; Bogarín, A; Esteban, M; Romero, C Process mining for self-regulated learning assessment in e-learning Journal Article Journal of Computing in Higher Education, 32 (1), pp. 74–88, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Cerezo2019,
title = {Process mining for self-regulated learning assessment in e-learning},
author = {Cerezo, R. and Bogar\^{i}n, A. and Esteban, M. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065723072&doi=10.1007%2fs12528-019-09225-y&partnerID=40&md5=41a84fb041b9ccda8a0652b5732d811b},
doi = {10.1007/s12528-019-09225-y},
year = {2020},
date = {2020-01-01},
journal = {Journal of Computing in Higher Education},
volume = {32},
number = {1},
pages = {74--88},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Educational data mining and learning analytics: An updated survey Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1355, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance @article{romero2020educational,
title = {Educational data mining and learning analytics: An updated survey},
author = {Romero, C. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/widm.1355},
doi = {10.1002/widm.1355},
year = {2020},
date = {2020-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1355},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
López-Zambrano, J; Lara, J; Romero, C Towards Portability of Models for Predicting Students Final Performance in University Courses Starting from Moodle Logs Journal Article Applied Sciences, 10 (1), pp. 354, 2020. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{lopez2020towardsb,
title = {Towards Portability of Models for Predicting Students Final Performance in University Courses Starting from Moodle Logs},
author = {L\'{o}pez-Zambrano, J. and Lara, J. and Romero, C.},
url = {https://www.mdpi.com/2076-3417/10/1/354},
doi = {10.3390/app10010354},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {1},
pages = {354},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Paquette, L; Romero, C Joint Proceedings of the EDM 2019 Workshops Inproceedings CEUR-WS, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @inproceedings{Paquette2020,
title = {Joint Proceedings of the EDM 2019 Workshops},
author = {Paquette, L. and Romero, C.},
url = {http://ceur-ws.org/Vol-2592/xpreface.pdf},
year = {2020},
date = {2020-01-01},
journal = {CEUR Workshop Proceedings},
volume = {2592},
publisher = {CEUR-WS},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rafferty, A; Whitehill, J; Romero, C; Cavalli-Sforza, V Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020). Journal Article International Educational Data Mining Society, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Rafferty2020,
title = {Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020).},
author = {Rafferty, A. and Whitehill, J. and Romero, C. and Cavalli-Sforza, V.},
url = {https://eric.ed.gov/?id=ED607784},
year = {2020},
date = {2020-01-01},
journal = {International Educational Data Mining Society},
publisher = {International Educational Data Mining Society},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Paquette, L; Ocumpaugh, J; Li, Z; Andres, A; Baker, R Who's Learning? Using Demographics in EDM Research. Journal Article Journal of Educational Data Mining, 12 (3), pp. 1–30, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{paquette2020s,
title = {Who's Learning? Using Demographics in EDM Research.},
author = {Paquette, L. and Ocumpaugh, J. and Li, Z. and Andres, A. and Baker, R.},
doi = {10.5281/zenodo.4143612},
year = {2020},
date = {2020-01-01},
journal = {Journal of Educational Data Mining},
volume = {12},
number = {3},
pages = {1--30},
publisher = {ERIC},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Hassan, S -U; Waheed, H; Aljohani, N R; Ali, M; Ventura, S; Herrera, F Virtual learning environment to predict withdrawal by leveraging deep learning Journal Article International Journal of Intelligent Systems, 34 , pp. 1935-1952, 2019. Links | BibTeX | Tags: Deep Learning, Educational Data Mining @article{Hassan20191935,
title = {Virtual learning environment to predict withdrawal by leveraging deep learning},
author = {Hassan, S.-U. and Waheed, H. and Aljohani, N. R. and Ali, M. and Ventura, S. and Herrera, F.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067978123&doi=10.1002%2fint.22129&partnerID=40&md5=650a0585882918f6f306f3f634f97569},
doi = {10.1002/int.22129},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Intelligent Systems},
volume = {34},
pages = {1935-1952},
keywords = {Deep Learning, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance Journal Article IEEE Transactions on Learning Technologies, 12 , pp. 145-147, 2019. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{Romero2019145,
title = {Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance},
author = {Romero, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067366696&doi=10.1109%2fTLT.2019.2908106&partnerID=40&md5=4614c626c738b3d4caacf7227b39d326},
doi = {10.1109/TLT.2019.2908106},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Learning Technologies},
volume = {12},
pages = {145-147},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Maqsood, R; Ceravolo, P; Ventura, S Discovering students' engagement behaviors in confidence-based assessment Inproceedings IEEE Global Engineering Education Conference, EDUCON, pp. 841-846, 2019. Links | BibTeX | Tags: Educational Data Mining, Markov Models @inproceedings{Maqsood2019841,
title = {Discovering students' engagement behaviors in confidence-based assessment},
author = {Maqsood, R. and Ceravolo, P. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067490894&doi=10.1109%2fEDUCON.2019.8725161&partnerID=40&md5=958e2e0a53a6f04da1566e126c08eb85},
doi = {10.1109/EDUCON.2019.8725161},
year = {2019},
date = {2019-01-01},
booktitle = {IEEE Global Engineering Education Conference, EDUCON},
volume = {April-2019},
pages = {841-846},
keywords = {Educational Data Mining, Markov Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article Interactive Learning Environments, pp. 1-13, 2019, ISBN: 17445191. Links | BibTeX | Tags: Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery @article{Luna2019b,
title = {Subgroup discovery in MOOCs: a big data application for describing different types of learners},
author = {Luna, J. M. and Fardoun, H. M. and Padillo, F. and Romero, C. and Ventura, S.},
url = {https://www.tandfonline.com/doi/abs/10.1080/10494820.2019.1643742},
doi = {10.1080/10494820.2019.1643742},
isbn = {17445191},
year = {2019},
date = {2019-01-01},
journal = {Interactive Learning Environments},
pages = {1-13},
keywords = {Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Cerezo, R; Bermúdez, M; Romero, C Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance Journal Article Journal of Computer Assisted Learning, 35 , pp. 110-120, 2019. Links | BibTeX | Tags: Educational Data Mining @article{Garc\^{i}a-Mart\^{i}nez2019110,
title = {Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Cerezo, R. and Berm\'{u}dez, M. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054059008&doi=10.1111%2fjcal.12316&partnerID=40&md5=e6605e9be95fe382b6e74928385021c7},
doi = {10.1111/jcal.12316},
year = {2019},
date = {2019-01-01},
journal = {Journal of Computer Assisted Learning},
volume = {35},
pages = {110-120},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Ferreira-Mello, R; André, M; Pinheiro, A; Costa, E; Romero, C Text mining in education Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019. Links | BibTeX | Tags: Educational Data Mining @article{Ferreira-Mello2019,
title = {Text mining in education},
author = {Ferreira-Mello, R. and Andr'{e}, M. and Pinheiro, A. and Costa, E. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070103688&doi=10.1002%2fwidm.1332&partnerID=40&md5=d3f9a5cbe1e308325da9293f3d9dee6b},
doi = {10.1002/widm.1332},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Cerezo, R; Calderón, V; Romero, C A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children Journal Article International Journal of Human Computer Studies, 124 , pp. 13-25, 2019. Links | BibTeX | Tags: Educational Data Mining @article{Cerezo201913,
title = {A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children},
author = {Cerezo, R. and Calder\'{o}n, V. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057173888&doi=10.1016%2fj.ijhcs.2018.11.009&partnerID=40&md5=0734f6d98d4314378ba189038b85da7b},
doi = {10.1016/j.ijhcs.2018.11.009},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Human Computer Studies},
volume = {124},
pages = {13-25},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Espejo, P G; Gibaja, E; Menéndez, V H; Zapata, A; Romero, C Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information Journal Article Journal of Universal Computer Science, 25 (13), pp. 1687–1716, 2019. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @article{espejo2019improving,
title = {Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information},
author = {Espejo, P. G. and Gibaja, E. and Men'{e}ndez, V. H. and Zapata, A. and Romero, C.},
url = {http://www.jucs.org/doi?doi=10.3217/jucs-025-13-1687},
doi = {10.3217/jucs-025-13-1687},
year = {2019},
date = {2019-01-01},
journal = {Journal of Universal Computer Science},
volume = {25},
number = {13},
pages = {1687--1716},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {article}
}
|
Chango W., Cerezo R; Romero, C Predicting academic performance of university students from multi-sources data in blended learning Inproceedings Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pp. 1–5, 2019. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{chango2019predictingb,
title = {Predicting academic performance of university students from multi-sources data in blended learning},
author = {Chango, W., Cerezo, R. and Romero, C.},
url = {https://dl.acm.org/doi/10.1145/3368691.3368694},
doi = {10.1145/3368691.3368694},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems},
pages = {1--5},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
Esteban, A; Zafra, A; Romero, C A hybrid multi-criteria approach using a genetic algorithm for recommending courses to university students Inproceedings Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018, 2018. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{Esteban2018,
title = {A hybrid multi-criteria approach using a genetic algorithm for recommending courses to university students},
author = {Esteban, A. and Zafra, A. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062778498&partnerID=40&md5=d45a8662c04df6c64b127f7c8ac1c03d},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bogarín, A; Cerezo, R; Romero, C Discovering learning processes using inductive miner: A case study with learning management systems (LMSs) [Descubriendo procesos de aprendizaje aplicando inductive miner: Un estudio de caso en learning management systems (LMSs)] Journal Article Psicothema, 30 , pp. 322-329, 2018. Links | BibTeX | Tags: Educational Data Mining @article{Bogar\^{i}n2018322,
title = {Discovering learning processes using inductive miner: A case study with learning management systems (LMSs) [Descubriendo procesos de aprendizaje aplicando inductive miner: Un estudio de caso en learning management systems (LMSs)]},
author = {Bogar\^{i}n, A. and Cerezo, R. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049974033&doi=10.7334%2fpsicothema2018.116&partnerID=40&md5=51408327ae863377ab53a215a967ee28},
doi = {10.7334/psicothema2018.116},
year = {2018},
date = {2018-01-01},
journal = {Psicothema},
volume = {30},
pages = {322-329},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Bogarín, A; Cerezo, R; Romero, C A survey on educational process mining Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8 , 2018. Links | BibTeX | Tags: Educational Data Mining @article{Bogar\^{i}n2018,
title = {A survey on educational process mining},
author = {Bogar\^{i}n, A. and Cerezo, R. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038557947&doi=10.1002%2fwidm.1230&partnerID=40&md5=d79624bcefd64800070825fd35b19c4d},
doi = {10.1002/widm.1230},
year = {2018},
date = {2018-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {8},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
López-Zambrano, J; Martinez, J A; Rojas, J; Romero, C A tool for preprocessing moodle data sets Inproceedings Proceedings of the 11th International Conference on Educational Data Mining, Buffalo, NY, USA, pp. 15–18, 2018. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{lopez2018toolb,
title = {A tool for preprocessing moodle data sets},
author = {L\'{o}pez-Zambrano, J. and Martinez, J. A. and Rojas, J. and Romero, C.},
url = {http://educationaldatamining.org/EDM2018/wp-content/uploads/sites/2/2018/07/EDM-Program-2018.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 11th International Conference on Educational Data Mining, Buffalo, NY, USA},
pages = {15--18},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
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Luna, J M; Castro, C; Romero, C MDM tool: A data mining framework integrated into Moodle Journal Article Computer Applications in Engineering Education, 25 (1), pp. 90–102, 2017. Links | BibTeX | Tags: Data Mining Software, Data Science, Educational Data Mining @article{LunaCR17,
title = {MDM tool: A data mining framework integrated into Moodle},
author = {Luna, J. M. and Castro, C. and Romero, C.},
doi = {10.1002/cae.21782},
year = {2017},
date = {2017-01-01},
journal = {Computer Applications in Engineering Education},
volume = {25},
number = {1},
pages = {90--102},
keywords = {Data Mining Software, Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Educational data science in massive open online courses Journal Article WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 7 (1), pp. 1-12, 2017. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{romero2017educational,
title = {Educational data science in massive open online courses},
author = {Romero, C. and Ventura, S.},
doi = {10.1002/widm.1187},
year = {2017},
date = {2017-01-01},
journal = {WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY},
volume = {7},
number = {1},
pages = {1-12},
publisher = {WILEY PERIODICALS, INC ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Bogarín, A; Cerezo, R; Romero, C A survey on educational process mining Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2017. Links | BibTeX | Tags: Educational Data Mining @article{bogarin2017survey,
title = {A survey on educational process mining},
author = {Bogar\^{i}n, A. and Cerezo, R. and Romero, C.},
doi = {10.1002/widm.1230},
year = {2017},
date = {2017-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2016
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Márquez-Vera, C; Cano, A; Romero, C; Noaman, A Y; Mousa Fardoun, H; Ventura, S Early dropout prediction using data mining: a case study with high school students Journal Article Expert Systems, 33 (1), pp. 107–124, 2016. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{DBLP:journals/es/Marquez-Vera0RN16,
title = {Early dropout prediction using data mining: a case study with high school students},
author = {M\'{a}rquez-Vera, C. and Cano, A. and Romero, C. and Noaman, A. Y. and Mousa Fardoun, H. and Ventura, S.},
url = {http://dx.doi.org/10.1111/exsy.12135},
doi = {10.1111/exsy.12135},
year = {2016},
date = {2016-01-01},
journal = {Expert Systems},
volume = {33},
number = {1},
pages = {107--124},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Alventosa, J; Romero, C; García-Martínez, C; Ventura, S Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos Inproceedings Actas de las XXII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2016), pp. 201–208, 2016, ISBN: 9788416642304. Links | BibTeX | Tags: Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning @inproceedings{Fuentes-Alventosa2016,
title = {Predicci\'{o}n de la aceptaci\'{o}n o rechazo de las calificaciones finales propuestas por el alumnado usando t'{e}cnicas de Miner\^{i}a de Datos},
author = {Fuentes-Alventosa, J. and Romero, C. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://www.aenui.net/ojs/index.php?journal=actas_jenui&page=article&op=view&path%5B%5D=252},
isbn = {9788416642304},
year = {2016},
date = {2016-01-01},
booktitle = {Actas de las XXII Jornadas sobre la Ense\~{n}anza Universitaria de la Inform\'{a}tica (JENUI 2016)},
pages = {201--208},
keywords = {Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Romero, C; Cerezo, R; Espino, J A; Bermudez, M Using Android Wear for Avoiding Procrastination Behaviours in MOOCs Inproceedings Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016, pp. 193–196, 2016. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{Romero-2016-LS,
title = {Using Android Wear for Avoiding Procrastination Behaviours in MOOCs},
author = {Romero, C. and Cerezo, R. and Espino, J. A. and Bermudez, M.},
url = {http://doi.acm.org/10.1145/2876034.2893412},
doi = {10.1145/2876034.2893412},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016},
pages = {193--196},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zapata, A; Menéndez, V H; Romero, C; Prieto, M E Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs Inproceedings Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016, pp. 656–657, 2016. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{Zapata-2016-EDM,
title = {Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs},
author = {Zapata, A. and Men'{e}ndez, V. H. and Romero, C. and Prieto, M. E.},
url = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_9.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016},
pages = {656--657},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
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Tang, T Y; Daniel, B K; Romero, C Recommender systems in social and online learning environments Journal Article Expert Systems, 32 (2), pp. 261–263, 2015. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @article{DBLP:journals/es/TangDR15,
title = {Recommender systems in social and online learning environments},
author = {Tang, T. Y. and Daniel, B. K. and Romero, C.},
url = {http://dx.doi.org/10.1111/exsy.12058},
doi = {10.1111/exsy.12058},
year = {2015},
date = {2015-01-01},
journal = {Expert Systems},
volume = {32},
number = {2},
pages = {261--263},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {article}
}
|
Zapata, A; Menéndez, V H; Prieto, M E; Romero, C Evaluation and selection of group recommendation strategies for collaborative searching of learning objects Journal Article Int. J. Hum.-Comput. Stud., 76 , pp. 22–39, 2015. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @article{DBLP:journals/iJ.,
title = {Evaluation and selection of group recommendation strategies for collaborative searching of learning objects},
author = {Zapata, A. and Men'{e}ndez, V. H. and Prieto, M. E. and Romero, C.},
url = {http://dx.doi.org/10.1016/j.ijhcs.2014.12.002},
doi = {10.1016/j.ijhcs.2014.12.002},
year = {2015},
date = {2015-01-01},
journal = {Int. J. Hum.-Comput. Stud.},
volume = {76},
pages = {22--39},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {article}
}
|
Olmo, J L; Romero, C; Gibaja, E; Ventura, S Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets Journal Article Int. J. Computational Intelligence Systems, 8 (6), pp. 1144–1164, 2015. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{DBLP:journals/ijcisys/OlmoRGV15,
title = {Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets},
author = {Olmo, J. L. and Romero, C. and Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1080/18756891.2015.1113748},
doi = {10.1080/18756891.2015.1113748},
year = {2015},
date = {2015-01-01},
journal = {Int. J. Computational Intelligence Systems},
volume = {8},
number = {6},
pages = {1144--1164},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Romero, C; Romero, J R; Ventura, S An evolutionary algorithm for the discovery of rare class association rules in learning management systems Journal Article Applied Intelligence, 42 (3), pp. 501-513, 2015. Links | BibTeX | Tags: Association Rule Mining, Educational Data Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning @article{Luna-2015-APIN,
title = {An evolutionary algorithm for the discovery of rare class association rules in learning management systems},
author = {Luna, J. M. and Romero, C. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s10489-014-0603-4},
doi = {10.1007/s10489-014-0603-4},
year = {2015},
date = {2015-01-01},
journal = {Applied Intelligence},
volume = {42},
number = {3},
pages = {501-513},
keywords = {Association Rule Mining, Educational Data Mining, Evolutionary Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Pattern Mining, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Jiménez, M A; Luna, J M; Romero, C; Ventura, S Discovering clues to avoid middle school failure at early stages Inproceedings Proceedings of the 5th International Conference on Learning Analytics and Knowledge, pp. 300-304, 2015, ISBN: 978-1-4503-3417-4. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{Luna-2015-LAK,
title = {Discovering clues to avoid middle school failure at early stages},
author = {Jim'{e}nez, M. A. and Luna, J. M. and Romero, C. and Ventura, S.},
url = {http://dl.acm.org/citation.cfm?id=2723597&dl=ACM&coll=DL&CFID=501310898&CFTOKEN=38124969},
doi = {10.1145/2723576.2723597},
isbn = {978-1-4503-3417-4},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 5th International Conference on Learning Analytics and Knowledge},
pages = {300-304},
series = {LAK '15},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zapata, A; Menéndez, V H; Prieto, M E; Romero, C Evaluation and selection of group recommendation strategies for collaborative searching of learning objects Journal Article International Journal of Human Computer Studies, 76 , pp. 22-39, 2015. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @article{Zapata-2015-IJHCS,
title = {Evaluation and selection of group recommendation strategies for collaborative searching of learning objects},
author = {Zapata, A. and Men'{e}ndez, V. H. and Prieto, M. E. and Romero, C.},
url = {http://dx.doi.org/10.1016/j.ijhcs.2014.12.002},
doi = {10.1016/j.ijhcs.2014.12.002},
year = {2015},
date = {2015-01-01},
journal = {International Journal of Human Computer Studies},
volume = {76},
pages = {22-39},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {article}
}
|
2014
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Bogarín, A; Romero, C; Cerezo, R; Sánchez-Santillán, M Clustering for improving Educational process mining Inproceedings ACM International Conference Proceeding Series, pp. 11-15, 2014. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{Bogarin-2014-ACM,
title = {Clustering for improving Educational process mining},
author = {Bogar\^{i}n, A. and Romero, C. and Cerezo, R. and S\'{a}nchez-Santill\'{a}n, M.},
url = {http://dx.doi.org/10.1145/2567574.2567604},
doi = {10.1145/2567574.2567604},
year = {2014},
date = {2014-01-01},
booktitle = {ACM International Conference Proceeding Series},
pages = {11-15},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bogarín, A; Romero, C; Cerezo, R; Sánchez-Santillán, M Clustering for improving educational process mining Inproceedings Learning Analytics and Knowledge Conference 2014, LAK'14, Indianapolis, IN, USA, March 24-28, 2014, pp. 11–15, 2014. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{DBLP:conf/lak/BogarinRCS14,
title = {Clustering for improving educational process mining},
author = {Bogar\^{i}n, A. and Romero, C. and Cerezo, R. and S\'{a}nchez-Santill\'{a}n, M.},
url = {http://doi.acm.org/10.1145/2567574.2567604},
doi = {10.1145/2567574.2567604},
year = {2014},
date = {2014-01-01},
booktitle = {Learning Analytics and Knowledge Conference 2014, LAK'14, Indianapolis, IN, USA, March 24-28, 2014},
pages = {11--15},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Fuentes-Alventosa, J; Romero, C; García-Martínez, C; Ventura, S Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining Inproceedings International Conference on Educational Data Mining (EDM'14), pp. 327–328, 2014. Links | BibTeX | Tags: Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning @inproceedings{Fuentes-Alventosa2014,
title = {Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining},
author = {Fuentes-Alventosa, J. and Romero, C. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://educationaldatamining.org/EDM2014/uploads/procs2014/posters/3_EDM-2014-Poster.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {International Conference on Educational Data Mining (EDM'14)},
pages = {327--328},
keywords = {Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Romero, C; Romero, J R; Ventura, S A survey on pre-processing educational data Journal Article Studies in Computational Intelligence, 524 , pp. 29-64, 2014. Links | BibTeX | Tags: Data Preprocessing, Educational Data Mining @article{Romero-2014-SCI,
title = {A survey on pre-processing educational data},
author = {Romero, C. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-319-02738-8-2},
doi = {10.1007/978-3-319-02738-8-2},
year = {2014},
date = {2014-01-01},
journal = {Studies in Computational Intelligence},
volume = {524},
pages = {29-64},
keywords = {Data Preprocessing, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
Jiménez, M A; Luna, J M; Ventura, S EDM para la detección precoz del fracaso escolar en secundaria Inproceedings VI Simposio de Teoría y Aplicaciones de Minería de Datos, pp. 1353-1362, Madrid, España, 2013. BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{Luna-2013-TAMIDA,
title = {EDM para la detecci\'{o}n precoz del fracaso escolar en secundaria},
author = {Jim'{e}nez, M. A. and Luna, J. M. and Ventura, S.},
year = {2013},
date = {2013-01-01},
booktitle = {VI Simposio de Teor\^{i}a y Aplicaciones de Miner\^{i}a de Datos},
pages = {1353-1362},
address = {Madrid, Espa\~{n}a},
series = {TAMIDA 2013},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Márquez-Vera, C; Cano, A; Romero, C; Ventura, S Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data Journal Article Applied Intelligence, 38 (3), pp. 315-330, 2013. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{Marquez-Vera-2013-APIN,
title = {Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data},
author = {M\'{a}rquez-Vera, C. and Cano, A. and Romero, C. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s10489-012-0374-8},
doi = {10.1007/s10489-012-0374-8},
year = {2013},
date = {2013-01-01},
journal = {Applied Intelligence},
volume = {38},
number = {3},
pages = {315-330},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|