UNIVERSIDAD PABLO DE OLAVIDE
Publications
2025
Z. Wang and I. Koprinska and M. Martínez-Ballesteros and A. Troncoso and B. Jeffries
AIED 26th International Conference on Artificial Intelligence in Education, 2025.
Links | BibTeX | Tags: association rules, education
@conference{AIED2025,
title = {Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses},
author = {Z. Wang and I. Koprinska and M. Martínez-Ballesteros and A. Troncoso and B. Jeffries },
url = {https://link.springer.com/chapter/10.1007/978-3-031-99264-3_20},
doi = {https://doi.org/10.1007/978-3-031-99264-3_20},
year = {2025},
date = {2025-07-24},
urldate = {2025-07-24},
booktitle = {AIED 26th International Conference on Artificial Intelligence in Education},
keywords = {association rules, education},
pubstate = {published},
tppubtype = {conference}
}
A. Lopez-Fernandez and F. Divina and F. A. Gomez-Vela and M. Garcia-Torres
Data mining for enhancing learning and assessment to a microcompetence-based methodology in higher education Journal Article
In: IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 2025.
Abstract | Links | BibTeX | Tags: data mining, education
@article{lopez2025data,
title = {Data mining for enhancing learning and assessment to a microcompetence-based methodology in higher education},
author = { A. Lopez-Fernandez and F. Divina and F. A. Gomez-Vela and M. Garcia-Torres},
doi = {10.1109/RITA.2025.3532879},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
journal = {IEEE Revista Iberoamericana de Tecnologias del Aprendizaje},
publisher = {IEEE},
abstract = {This work introduces an innovative teaching methodology based on microcompetences applied in a higher education context. The intervention involved creating a repository of practical case studies in the form of quizzes and integrating microcompetences
into each course activity. The digital tool Sapiens was used to identify learning deficiencies and provide both collective and individualized feedback. The results indicate a significant increase in student participation and academic performance compared to
previous years. Furthermore, students voluntarily used virtual teaching modalities to reinforce their knowledge, particularly in more complex areas. Data mining techniques identified performance patterns among students, highlighting the methodology’s
effectiveness in improving both transversal and specific competences. The study’s findings underscore the importance of implementing microcompetency-based methodologies in higher education to enhance the quality of learning and continuous assessment. This
approach not only facilitated a deeper understanding of course content but also promoted critical thinking, abstract reasoning, and interpersonal skills, preparing students for future academic and professional challenges. Additionally, the flexibility and
adaptability of the digital tools used provided a seamless transition across different teaching modalities, such as in-person, hybrid, and online formats. Thus, the implementation of this innovative methodology has demonstrated its potential to significantly
improve student engagement, participation, and academic success, thereby contributing to a more effective and comprehensive educational experience in higher education. url = https://ieeexplore.ieee.org/abstract/document/10849581},
keywords = {data mining, education},
pubstate = {published},
tppubtype = {article}
}
This work introduces an innovative teaching methodology based on microcompetences applied in a higher education context. The intervention involved creating a repository of practical case studies in the form of quizzes and integrating microcompetences
into each course activity. The digital tool Sapiens was used to identify learning deficiencies and provide both collective and individualized feedback. The results indicate a significant increase in student participation and academic performance compared to
previous years. Furthermore, students voluntarily used virtual teaching modalities to reinforce their knowledge, particularly in more complex areas. Data mining techniques identified performance patterns among students, highlighting the methodology’s
effectiveness in improving both transversal and specific competences. The study’s findings underscore the importance of implementing microcompetency-based methodologies in higher education to enhance the quality of learning and continuous assessment. This
approach not only facilitated a deeper understanding of course content but also promoted critical thinking, abstract reasoning, and interpersonal skills, preparing students for future academic and professional challenges. Additionally, the flexibility and
adaptability of the digital tools used provided a seamless transition across different teaching modalities, such as in-person, hybrid, and online formats. Thus, the implementation of this innovative methodology has demonstrated its potential to significantly
improve student engagement, participation, and academic success, thereby contributing to a more effective and comprehensive educational experience in higher education. url = https://ieeexplore.ieee.org/abstract/document/10849581
into each course activity. The digital tool Sapiens was used to identify learning deficiencies and provide both collective and individualized feedback. The results indicate a significant increase in student participation and academic performance compared to
previous years. Furthermore, students voluntarily used virtual teaching modalities to reinforce their knowledge, particularly in more complex areas. Data mining techniques identified performance patterns among students, highlighting the methodology’s
effectiveness in improving both transversal and specific competences. The study’s findings underscore the importance of implementing microcompetency-based methodologies in higher education to enhance the quality of learning and continuous assessment. This
approach not only facilitated a deeper understanding of course content but also promoted critical thinking, abstract reasoning, and interpersonal skills, preparing students for future academic and professional challenges. Additionally, the flexibility and
adaptability of the digital tools used provided a seamless transition across different teaching modalities, such as in-person, hybrid, and online formats. Thus, the implementation of this innovative methodology has demonstrated its potential to significantly
improve student engagement, participation, and academic success, thereby contributing to a more effective and comprehensive educational experience in higher education. url = https://ieeexplore.ieee.org/abstract/document/10849581
2023
L. Melgar-García, Á. Troncoso-García, D. Gutiérrez-Avilés, J. F. Torres and A. Troncoso
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python Conference
ICEUTE 14th International Conference on European Transnational Educational, Lecture Notes in Networks and Systems 2023.
@conference{ICEUTE23_Laura,
title = {Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python},
author = {L. Melgar-García, Á. Troncoso-García, D. Gutiérrez-Avilés, J. F. Torres and A. Troncoso},
year = {2023},
date = {2023-01-01},
booktitle = {ICEUTE 14th International Conference on European Transnational Educational},
series = {Lecture Notes in Networks and Systems},
keywords = {education, XAI},
pubstate = {published},
tppubtype = {conference}
}
2020
O. Mitxelena-Hoyos and J. L. Amaro-Mellado and F. Martínez-Álvarez
Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering Conference
ICEUTE 11th International Conference on European Transnational Education, vol. 1266, Advances in Intelligent Systems and Computing 2020.
Abstract | Links | BibTeX | Tags: education
@conference{MITXELENA20,
title = {Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering},
author = {O. Mitxelena-Hoyos and J. L. Amaro-Mellado and F. Martínez-Álvarez},
url = {https://link.springer.com/chapter/10.1007%2F978-3-030-57799-5_44},
doi = {https://doi.org/10.1007/978-3-030-57799-5_44},
year = {2020},
date = {2020-08-15},
booktitle = {ICEUTE 11th International Conference on European Transnational Education},
volume = {1266},
pages = {428-437},
series = {Advances in Intelligent Systems and Computing},
abstract = {This work describes the design and implementation of the subject of surveying under the Project-based Learning method. The modernization of teaching-learning and the new requirements of society to our graduates, force us to move towards a new style of higher education. In the case of topography, which is a transversal science closely related to the various skills of the degree, the learning conveyed by a project provides verisimilitude and depth of the knowledge acquired. Given the previous experiences, it is expected that better marks and performance are reached by the students.},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
This work describes the design and implementation of the subject of surveying under the Project-based Learning method. The modernization of teaching-learning and the new requirements of society to our graduates, force us to move towards a new style of higher education. In the case of topography, which is a transversal science closely related to the various skills of the degree, the learning conveyed by a project provides verisimilitude and depth of the knowledge acquired. Given the previous experiences, it is expected that better marks and performance are reached by the students.
G. Santamaría-Bonfil and M. B. Ibáñez and M. Pérez-Ramírez and G. Arroyo-Figueroa and F. Martínez-Álvarez
Learning analytics for student modeling in virtual reality training systems: Lineworkers case Journal Article
In: Computers and Education, vol. 151, pp. 103871, 2020.
Abstract | Links | BibTeX | Tags: education
@article{SANTAMARIA20,
title = {Learning analytics for student modeling in virtual reality training systems: Lineworkers case},
author = {G. Santamaría-Bonfil and M. B. Ibáñez and M. Pérez-Ramírez and
G. Arroyo-Figueroa and F. Martínez-Álvarez},
url = {https://www.sciencedirect.com/science/article/pii/S0360131520300701},
doi = {https://doi.org/10.1016/j.compedu.2020.103871},
year = {2020},
date = {2020-03-10},
journal = {Computers and Education},
volume = {151},
pages = {103871},
abstract = {Live-line maintenance is a high risk activity. Hence, lineworkers require effective and safe training. Virtual Reality Training Systems (VRTS) provide an affordable and safe alternative for training in such high risk environments. However, their effectiveness relies mainly on having meaningful activities for supporting learning and on their ability to detect untrained students. This study builds a student model based on Learning Analytics (LA), using data collected from 1399 students that used a VRTS for the maintenance training of lineworkers in 329 courses carried out from 2008 to 2016. By employing several classifiers, the model allows discriminating between trained and untrained students in different maneuvers using three minimum evaluation proficiency scores. Using the best classifier, a Feature Importance Analysis is carried out to understand the impact of the variables regarding the trainees’ final performances. The model also involves the exploration of the trainees’ trace data through a visualization tool to pose non-observable behavioral variables related to displayed errors. The results show that the model can discriminate between trained and untrained students, the Random Forest algorithm standing out. The feature importance analysis revealed that the most relevant features regarding the trainees’ final performance were profile and course variables along with specific maneuver steps. Finally, using the visual tool, and with human expert aid, several error patterns in trace data associated with misconceptions and confusion were identified. In the light of these, LA enables disassembling the data jigsaw quandary from VRTS to enhance the human-in-the-loop evaluation.},
keywords = {education},
pubstate = {published},
tppubtype = {article}
}
Live-line maintenance is a high risk activity. Hence, lineworkers require effective and safe training. Virtual Reality Training Systems (VRTS) provide an affordable and safe alternative for training in such high risk environments. However, their effectiveness relies mainly on having meaningful activities for supporting learning and on their ability to detect untrained students. This study builds a student model based on Learning Analytics (LA), using data collected from 1399 students that used a VRTS for the maintenance training of lineworkers in 329 courses carried out from 2008 to 2016. By employing several classifiers, the model allows discriminating between trained and untrained students in different maneuvers using three minimum evaluation proficiency scores. Using the best classifier, a Feature Importance Analysis is carried out to understand the impact of the variables regarding the trainees’ final performances. The model also involves the exploration of the trainees’ trace data through a visualization tool to pose non-observable behavioral variables related to displayed errors. The results show that the model can discriminate between trained and untrained students, the Random Forest algorithm standing out. The feature importance analysis revealed that the most relevant features regarding the trainees’ final performance were profile and course variables along with specific maneuver steps. Finally, using the visual tool, and with human expert aid, several error patterns in trace data associated with misconceptions and confusion were identified. In the light of these, LA enables disassembling the data jigsaw quandary from VRTS to enhance the human-in-the-loop evaluation.
C. Moreno-Carmona and J. M. Feria-Domínguez and A. Troncoso
Applying the Open Government Principles to the University’s Strategic Planning: A Sound Practice Journal Article
In: Sustainability, vol. 12, no. 5, pp. 1826, 2020.
Links | BibTeX | Tags: education
@article{Moreno20,
title = {Applying the Open Government Principles to the University’s Strategic Planning: A Sound Practice},
author = {C. Moreno-Carmona and J. M. Feria-Domínguez and A. Troncoso},
doi = {10.3390/su12051826 },
year = {2020},
date = {2020-01-01},
journal = {Sustainability},
volume = {12},
number = {5},
pages = {1826},
keywords = {education},
pubstate = {published},
tppubtype = {article}
}
2019
C. Rubio-Escudero and F. Martínez-Álvarez and E. Atencia and A. Troncoso
ICEUTE 10th International Conference on European Transnational Education, vol. 951, Advances in Intelligent Systems and Computing 2019.
Links | BibTeX | Tags: education
@conference{RUBIO19,
title = {Deployment of an internal quality assurance system at Pablo de Olavide University of Seville: improving students skills},
author = {C. Rubio-Escudero and F. Martínez-Álvarez and E. Atencia and A. Troncoso},
url = {https://link.springer.com/chapter/10.1007/978-3-030-20005-3_35},
doi = {https://doi.org/10.1007/978-3-030-20005-3_3},
year = {2019},
date = {2019-05-16},
booktitle = {ICEUTE 10th International Conference on European Transnational Education},
volume = {951},
pages = {340-348},
series = {Advances in Intelligent Systems and Computing},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
J. L. Amaro-Mellado and D. Antón and M. Pérez-Suárez and F. Martínez-Álvarez
Game-based Student Response System applied to a multidisciplinary teaching context Conference
ICEUTE 10th International Conference on European Transnational Education, vol. 951, Advances in Intelligent Systems and Computing 2019.
Links | BibTeX | Tags: education
@conference{AMARO19,
title = {Game-based Student Response System applied to a multidisciplinary teaching context},
author = {J. L. Amaro-Mellado and D. Antón and M. Pérez-Suárez and F. Martínez-Álvarez},
url = {https://link.springer.com/chapter/10.1007/978-3-030-20005-3_34},
doi = {https://doi.org/10.1007/978-3-030-20005-3_34},
year = {2019},
date = {2019-05-16},
booktitle = {ICEUTE 10th International Conference on European Transnational Education},
volume = {951},
pages = {329-339},
series = {Advances in Intelligent Systems and Computing},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
V.E. Jiménez Chaves and M. García-Torres and J.L. Vázquez Noguera and C.D. Cabrera Oviedo and A.P. Riego Esteche and F. Divina and M. Marrufo-Vázquez
ICEUTE 10th International Conference on EUropean Transnational Education , Advances in Intelligent Systems and Computing 2019.
Links | BibTeX | Tags: education
@conference{Chaves2019,
title = {Analysis of Teacher Training in Mathematics in Paraguay’s Elementary Education System Using Machine Learning Techniques},
author = {V.E. Jiménez Chaves and M. García-Torres and J.L. Vázquez Noguera and C.D. Cabrera Oviedo and A.P. Riego Esteche and F. Divina and M. Marrufo-Vázquez},
url = {https://link.springer.com/chapter/10.1007/978-3-030-20005-3_29},
year = {2019},
date = {2019-01-01},
booktitle = {ICEUTE 10th International Conference on EUropean Transnational Education },
series = {Advances in Intelligent Systems and Computing},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
M. García-Torres and D. Becerra-Alonso and F. A Gómez-Vela and F. Divina and I. López Cobo and F. Martínez-Álvarez
Analysis of Student Achievement Scores: A Machine Learning Approach Conference
ICEUTE 10th International Conference on EUropean Transnational Education, Advances in Intelligent Systems and Computing 2019.
Links | BibTeX | Tags: education
@conference{Garcia2019,
title = {Analysis of Student Achievement Scores: A Machine Learning Approach},
author = {M. García-Torres and D. Becerra-Alonso and F. A Gómez-Vela and F. Divina and I. López Cobo and F. Martínez-Álvarez},
url = {https://link.springer.com/chapter/10.1007/978-3-030-20005-3_28},
year = {2019},
date = {2019-01-01},
booktitle = {ICEUTE 10th International Conference on EUropean Transnational Education},
pages = {275-284},
series = {Advances in Intelligent Systems and Computing},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
2018
C. Rubio-Escudero and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses Conference
ICEUTE 9th International Conference on European Transnational Education, vol. 771, Advances in Intelligent Systems and Computing 2018.
Abstract | Links | BibTeX | Tags: education
@conference{RUBIO18,
title = {Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses},
author = {C. Rubio-Escudero and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme},
url = {https://link.springer.com/chapter/10.1007/978-3-319-94120-2_54},
doi = {https://doi.org/chapter/10.1007/978-3-319-94120-2_54},
year = {2018},
date = {2018-06-07},
booktitle = {ICEUTE 9th International Conference on European Transnational Education},
volume = {771},
pages = {553-561},
series = {Advances in Intelligent Systems and Computing},
abstract = {The continuous evaluation allows for the assessment of the progressive assimilation of concepts and the competences that must be achieved in a course. There are several ways to implement such continuous evaluation system. We propose auto-evaluation tests as a valuable tool for the student to judge his level of knowledge. Furthermore, these tests are also used as a small part of the continuous evaluation process, encouraging students to learn the concepts seen in the course, as they have the feeling that the time dedicated to this study will have an assured reward, binge able to answer correctly the questions in the continuous evaluation exams. New technologies are a great aid to improve the auto-evaluation experience both for the students and the teachers. In this research work we have compared the results obtained in courses where auto-evaluation tests were provided against courses where they were not provided, showing how the tests improve a set of quality metrics in the results of the course.},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
The continuous evaluation allows for the assessment of the progressive assimilation of concepts and the competences that must be achieved in a course. There are several ways to implement such continuous evaluation system. We propose auto-evaluation tests as a valuable tool for the student to judge his level of knowledge. Furthermore, these tests are also used as a small part of the continuous evaluation process, encouraging students to learn the concepts seen in the course, as they have the feeling that the time dedicated to this study will have an assured reward, binge able to answer correctly the questions in the continuous evaluation exams. New technologies are a great aid to improve the auto-evaluation experience both for the students and the teachers. In this research work we have compared the results obtained in courses where auto-evaluation tests were provided against courses where they were not provided, showing how the tests improve a set of quality metrics in the results of the course.
2012
C. Rubio Escudero and B. Pontes and J. A. Nepomuceno and F. Martínez-Álvarez and F. L. Cruz
Experiencia docente en lengua inglesa en el Espacio Europeo de Educación Superior Conference
INDOTEC III Jornadas de innovación docente y adaptación al EEES en las titulaciones técnicas, 2012, ISBN: 978-84-15418-73-3.
@conference{RUBIO12,
title = {Experiencia docente en lengua inglesa en el Espacio Europeo de Educación Superior},
author = {C. Rubio Escudero and B. Pontes and J. A. Nepomuceno and F. Martínez-Álvarez and F. L. Cruz},
isbn = {978-84-15418-73-3},
year = {2012},
date = {2012-09-20},
booktitle = {INDOTEC III Jornadas de innovación docente y adaptación al EEES en las titulaciones técnicas},
pages = {41-45},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}
F. Martínez-Álvarez and C. Rubio Escudero and B. Pontes and F. L. Cruz
Educación presencial y a distancia para titulaciones de Ingeniería Informática Conference
INDOTEC III Jornadas de innovación docente y adaptación al EEES en las titulaciones técnicas, 2012, ISBN: 978-84-15418-73-3.
@conference{MARTINEZ12,
title = {Educación presencial y a distancia para titulaciones de Ingeniería Informática},
author = {F. Martínez-Álvarez and C. Rubio Escudero and B. Pontes and F. L. Cruz},
isbn = {978-84-15418-73-3},
year = {2012},
date = {2012-09-20},
booktitle = {INDOTEC III Jornadas de innovación docente y adaptación al EEES en las titulaciones técnicas},
pages = {129-134},
keywords = {education},
pubstate = {published},
tppubtype = {conference}
}