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2016

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

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

2015

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

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

2014

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

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

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

Márquez-Vera, C; Romero, C; Ventura, S

Predicting school failure and dropout by using data mining techniques Journal Article

Revista Iberoamericana de Tecnologias del Aprendizaje, 8 (1), pp. 7-14, 2013.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Romero, C; López, M I; Luna, J M; Ventura, S

Predicting students' final performance from participation in on-line discussion forums Journal Article

Computers and Education, 68 , pp. 458-472, 2013.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Romero, C; Espejo, P G; Zafra, A; Romero, J R; Ventura, S

Web usage mining for predicting final marks of students that use Moodle courses Journal Article

Computer Applications in Engineering Education, 21 (1), pp. 135-146, 2013.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

2012

López, M I; Luna, J M; Romero, C; Ventura, S

Classification via clustering for predicting final marks based on student participation in forums Inproceedings

Proceedings of the 5th International Conference on Educational Data Mining, pp. 148-151, Chania, Greece, 2012.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Zafra, A; Ventura, S

Multi-instance genetic programming for predicting student performance in web based educational environments Journal Article

Applied Soft Computing Journal, 12 (8), pp. 2693-2706, 2012.

Links | BibTeX | Tags: Grammar-Based Genetic Programming, Multi-instance Learning, Predicting Student Performance

2011

García-Martínez, C; Lozano, M

Evaluating the application of timesheet management systems to quantify the students' workload in higher education centres Inproceedings

International Technology, Education and Development Conference (INTED'11), pp. 1454–1463, 2011.

Links | BibTeX | Tags: Predicting Student Performance

Pedraza-Perez, R; Romero, C; Ventura, S

A java desktop tool for mining moodle data Inproceedings

Proceedings of the 4th International Conference on Educational Data Mining, EDM'11, pp. 319-320, 2011.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Zafra, A; Romero, C; Ventura, S

Multiple instance learning for classifying students in learning management systems Journal Article

Expert Systems with Applications, 38 (12), pp. 15020-15031, 2011.

Links | BibTeX | Tags: Multi-instance Learning, Predicting Student Performance

2010

Zafra, A; Ventura, S

Web usage mining for improving students performance in learning management systems Inproceedings

Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA-AIE'10, pp. 439-449, 2010.

Links | BibTeX | Tags: Multi-instance Learning, Predicting Student Performance

2009

Zafra, A; Ventura, S

Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming Inproceedings

Barnes, T; Desmarais, M C; Romero, C; Ventura, S (Ed.): Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining., pp. 309–318, www.educationaldatamining.org, 2009, ISBN: 978-84-613-2308-1.

Links | BibTeX | Tags: Multi-instance Learning, Predicting Student Performance

Zafra, A; Romero, C; Ventura, S

Predicting Academic Achievement Using Multiple Instance Genetic Programming Inproceedings

Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy , November 30-December 2, 2009, pp. 1120–1125, IEEE Computer Society, 2009, ISBN: 978-0-7695-3872-3.

Links | BibTeX | Tags: Grammar-Based Genetic Programming, Multi-instance Learning, Predicting Student Performance

0000

García-Martínez, C; Cerezo, R; Bermúdez, M; Romero, C

Improving essay peer grading accuracy in MOOCs using personalized weights Journal Article

Journal of Computer Assisted Learning, In press , 0000.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

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