Juan Antonio Caballero Hernandez

@uca.es

Assistant Professor in Department of Computer Science
University of Cadiz

Juan Antonio Caballero Hernandez

EDUCATION

PhD in Computer Science

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems, Computer Science Applications
21

Scopus Publications

423

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Learning personalization in block-based programming languages using clustering and static code analysis
    Tatiana Person, Juan Antonio Caballero-Hernández, Cristóbal Romero, Iván Ruiz-Rube, Juan Manuel Dodero
    Computers and Education Open, 2026
  • Wondercoins: dissemination of the ancient numismatic archaeological heritage of the western Mediterranean as open data
    Manuel Palomo-Duarte, Alberto Contreras-Puerto, Charbel Boueri-Martínez, Antonio Balderas, Juan Antonio Caballero-Hernández, et al.
    Siie 2025 27th International Symposium of Education on Computers in Education, 2025
  • Supporting Skill Assessment in Learning Experiences Based on Serious Games Through Process Mining Techniques
    Juan Antonio Caballero-Hernández, Manuel Palomo-Duarte, Juan Manuel Dodero, Dragan Gaševic
    International Journal of Interactive Multimedia and Artificial Intelligence, 2024
    Learning experiences based on serious games are employed in multiple contexts. Players carry out multiple interactions during the gameplay to solve the different challenges faced. Those interactions can be registered in logs as large data sets providing the assessment process with objective information about the skills employed. Most assessment methods in learning experiences based on serious games rely on manual approaches, which do not scalewell when the amount of data increases. We propose an automated method to analyse students’ interactions and assess their skills in learning experiences based on serious games. The method takes into account not only the final model obtained by the student, but also the process followed to obtain it, extracted from game logs. The assessment method groups students according to their in-game errors and in-game outcomes. Then, the models for the most and the least successful students are discovered using process mining techniques. Similarities in their behaviour are analysed through conformance checking techniques to compare all the students with the most successful ones. Finally, the similarities found are quantified to build a classification of the students’ assessments. We have employed this method with Computer Science students playing a serious game to solve design problems in a course on databases. The findings show that process mining techniques can palliate the limitations of skill assessment methods in game-based learning experiences.
  • Serious Game Adventure for Learning Data Exploration Skills
    Manuel Palomo-Duarte, Juan Antonio Caballero-Hernández, Francisco Díaz-Brotons, Antonio Balderas, Jose Antonio Ortega, et al.
    Lecture Notes in Educational Technology, 2024
  • Exploring the Impact of ChatGPT on Education: A Case of Study on Spanish Tweets
    Andrés Muñoz, Rubén Baena-Pérez, Antonio Balderas, Manuel Palomo-Duarte, Juan Antonio Caballero-Hernández, et al.
    Lecture Notes in Educational Technology, 2024
  • Comparative Study of Moodle Plugins to Facilitate the Adoption of Computer-Based Assessments
    Milagros Huerta, Juan Antonio Caballero-Hernández, Manuel Alejandro Fernández-Ruiz
    Applied Sciences Switzerland, 2022
    The use of Learning Management Systems (LMS) has had rapid growth over the last decades. Great efforts have been recently made to assess online students’ performance level, due to the COVID-19 pandemic. Faculty members with limited experience in the use of LMS such as Moodle, Edmodo, MOOC, Blackboard and Google Classroom face challenges creating online tests. This paper presents a descriptive and comparative study of the existing plugins used to import questions into Moodle, classifying them according to the necessary computing resources. Each of the classifications were compared and ranked, and features such as the support for gamification and the option to create parameterised questions are explored. Parameterised questions can generate a large number of different questions, which is very useful for large classes and avoids fraudulent behaviour. The paper outlines an open-source plugin developed by the authors: FastTest PlugIn, recently approved by Moodle. FastTest PlugIn is a promising alternative to mitigate the detected limitations in analysed plugins. FastTest PlugIn was validated in seminars with 230 faculty members, obtaining positive results about expectations and potential recommendations. The features of the main alternative plugins are discussed and compared, describing the potential advantages of FastTest PlugIn.
  • Upgrading to 3D of a serious game for conceptual data modeling
    Ceur Workshop Proceedings, 2021
  • Learning analytics to detect evidence of fraudulent behaviour in online examinations
    Antonio Balderas, Manuel Palomo-Duarte, Juan Antonio Caballero-Hernández, Mercedes Rodriguez-Garcia, Juan Manuel Dodero
    International Journal of Interactive Multimedia and Artificial Intelligence, 2021
    Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were previously designed to be taken face-to-face have to be conducted online. The courses have had to be redesigned, including seminars, laboratory sessions and evaluation activities. This has brought lecturers and students into conflict because, according to the students, the activities and examinations that have been redesigned to avoid cheating are also harder. The lecturers' concern is that students can collaborate in taking examinations that must be taken individually without the lecturers being able to do anything to prevent it, i.e. fraudulent collaboration. This research proposes a process model to obtain evidence of students who attempt to fraudulently collaborate, based on the information in the learning environment logs. It is automated in a software tool that checks how the students took the examinations and the grades that they obtained. It is applied in a case study with more than 100 undergraduate students. The results are positive and its use allowed lecturers to detect evidence of fraudulent collaboration by several clusters of students from their submission timestamps and the grades obtained.
  • Analysis of Learning Records to Detect Student Cheating on Online Exams: Case Study during COVID-19 Pandemic
    Antonio Balderas, Juan Antonio Caballero-Hernández
    ACM International Conference Proceeding Series, 2020
    In March 2020, due to the Covid19 pandemic, higher education had to switch from face-to-face to exclusively virtual mode overnight. In this unexpected scenario, supervisors also had to adapt the assessment procedures, including the exams. This caused a significant controversy, as, according to many students, supervisors were more concerned about how to prevent students from cheating, than actually measuring their learning. This paper introduces an experience that implemented several of the students' requests in an online exam and conducts a comprehensive analysis of students’ behavior according to the virtual learning environment records. Different existing software tools are used for the analysis, complemented with a Python application ad-hoc developed. The objective indicators gathered provide evidence that some students cheated and invite focusing on evidence-based assessment.
  • Discovering player profile behavior models in serious games
    Ceur Workshop Proceedings, 2020
  • Teamwork assessment in collaborative projects through process mining techniques
    International Journal of Engineering Education, 2020
  • Model-driven skills assessment in knowledge management systems
    Antonio Balderas, Juan Antonio Caballero-Hern�ndez, Juan Manuel Dodero, Manuel Palomo-Duarte, Iv�n Ruiz-Rube, et al.
    Journal of Web Engineering, 2019
  • Discovering bottlenecks in a computer science degree through process mining techniques
    Juan Antonio Caballero-Hernandez, Juan Manuel Dodero, Ivan Ruiz-Rube, Manuel Palomo-Duarte, Jose Fidel Argudo, et al.
    Siie 2018 2018 International Symposium on Computers in Education Proceedings, 2018
  • Integrating quantitative and qualitative data in assessment of wiki collaborative assignments
    Manuel Palomo Duarte, Antonio Balderas, Juan Manuel Dodero, Antonio J. Reinoso, Juan Antonio Caballero, et al.
    ACM International Conference Proceeding Series, 2018
  • A community-driven mobile system to support foreign language learning
    Manuel Palomo-Duarte, Anke Berns, Alberto Cejas, Juan Manuel Dodero, Juan Antonio Caballero-Hernández, et al.
    Multidisciplinary Perspectives on Human Capital and Information Technology Professionals, 2018
  • Assessment of generic skills through an organizational learning process model
    Antonio Balderas, Juan Antonio Caballero-Hernández, Juan Manuel Dodero, Manuel Palomo-Duarte, Iván Ruiz-Rube
    Webist 2018 Proceedings of the 14th International Conference on Web Information Systems and Technologies, 2018
  • An architecture for skill assessment in serious games based on Event Sequence Analysis
    Juan Antonio Caballero Hernández, Manuel Palomo Duarte, Juan Manuel Dodero
    ACM International Conference Proceeding Series, 2017
  • Skill assessment in learning experiences based on serious games: A Systematic Mapping Study
    Juan Antonio Caballero-Hernández, Manuel Palomo-Duarte, Juan Manuel Dodero
    Computers and Education, 2017
  • Assessing foreign language learning through mobile game-based learning environments
    Manuel Palomo-Duarte, Anke Berns, Alberto Cejas, Juan Manuel Dodero, Juan Antonio Caballero, et al.
    International Journal of Human Capital and Information Technology Professionals, 2016
  • CARMENES-NIR channel spectrograph: How to achieve the full AIV at system level of a cryo-instrument in nine months
    S. Becerril, C. Cárdenas, P. Amado, M. Abril, I. Ferro, et al.
    Proceedings of SPIE the International Society for Optical Engineering, 2016
  • Domain-driven competence assessment in virtual learning environments. Application to planning and time management skills
    Antonio Balderas, Alvaro Galan-Pinero, Juan Antonio Caballero Hernandez, Gregorio Rodriguez Gomez, Juanma Dodero, et al.
    2014 International Symposium on Computers in Education Siie 2014, 2014

RECENT SCHOLAR PUBLICATIONS

  • Learning personalization in block-based programming languages using clustering and static code analysis
    T Person, JA Caballero-Hernández, C Romero, I Ruiz-Rube, JM Dodero
    Computers and Education Open, 100333 , 2026
    2026
    Citations: 1
  • Wondercoins: dissemination of the ancient numismatic archaeological heritage of the western Mediterranean as open data
    M Palomo-Duarte, A Contreras-Puerto, C Boueri-Martínez, A Balderas, ...
    2025 International Symposium on Computers in Education (SIIE), 1-4 , 2025
    2025
  • Wondercoins: difusión del patrimonio arqueológico numismático antiguo del occidente mediterráneo como datos abiertos
    M Palomo Duarte, A Contreras Puerto, C Boueri Martínez, ...
    2025
  • Análisis de Sentimientos y Polarización de Reseñas de Videojuegos a Través de Inteligencia Artificial
    A Contreras Puerto, A Muñoz Ortega, M Palomo Duarte, ...
    Sociedad Española para las Ciencias del Videojuego , 2025
    2025
  • Integración de Instagram y TikTok en la docencia universitaria: visibilidad, creatividad y aprendizaje
    L Gutiérrez Madroñal, R Baena Pérez, JA Caballero Hernández, ...
    2025
  • There is no place like tomorrow: videojuego para sensibilizar sobre utopías desde la perspectiva de género
    LI Benitez Eyzaguirre, JA Roa Domínguez, M Palomo Duarte, ...
    2025
  • Serious Game Adventure for Learning Data Exploration Skills
    M Palomo-Duarte, JA Caballero-Hernández, F Díaz-Brotons, A Balderas, ...
    Innovation and Technologies for the Digital Transformation of Education … , 2024
    2024
  • Opinión de los estudiantes sobre el uso de un Modelo Grande de Lenguaje en una asignatura de Bases de Datos
    M Palomo-Duarte, R Baena-Pérez, A Balderas, JA Caballero-Hernández, ...
    Book of Abstracts. SIIE 2024. XXVI International Symposium on Computers in … , 2024
    2024
    Citations: 2
  • Uso de modelo grande de lenguaje en un curso de base de datos: una visión vía TAM
    M Palomo Duarte, R Baena Pérez, A Balderas Alberico, ...
    Instituto Politécnico de Setúbal , 2023
    2023
  • Exploring the impact of ChatGPT on education: A case of study on Spanish Tweets
    A Muñoz, R Baena-Pérez, A Balderas, M Palomo-Duarte, ...
    International conference on technological ecosystems for enhancing … , 2023
    2023
    Citations: 1
  • Supporting skill assessment in learning experiences based on serious games through process mining techniques
    JA Caballero Hernández, M Palomo Duarte, JM Dodero Beardo, ...
    2023
    Citations: 16
  • Videoaventura para aprender lenguaje SQL
    M Palomo-Duarte, F Díaz-Brotons, JA Caballero-Hernández, JA Ortega, ...
    Universidad de Zaragoza, Servicio de Publicaciones , 2023
    2023
  • Herramienta para un Análisis Visual de las Colaboraciones entre Estudiantes en la Realización de Cuestionarios de Moodle
    A Balderas Alberico, F Carrillo Chaves, M Palomo Duarte, ...
    2022
  • Comparative study of Moodle plugins to facilitate the adoption of computer-based assessments
    M Huerta, JA Caballero-Hernández, MA Fernández-Ruiz
    Applied Sciences 12 (18), 8996 , 2022
    2022
    Citations: 29
  • Comparative Study of Moodle Plugins to Facilitate the Adoption of Computer-Based Assessments
    M Huerta Gómez de Merodio, JA Caballero Hernández, ...
    MDPI , 2022
    2022
  • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations.
    A Balderas, MP Duarte, JAC Hernández, MR García, JM Dodero
    International Journal of Interactive Multimedia and Artificial Intelligence … , 2021
    2021
    Citations: 14
  • Ampliación a 3D de un juego serio para modelado conceptual de datos
    JA Caballero Hernández, M Palomo Duarte, JM Dodero Beardo, ...
    CEUR Workshop Proceedings , 2021
    2021
  • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations
    A Balderas Alberico, M Palomo Duarte, JA Caballero Hernández, ...
    UNIV INT RIOJA , 2021
    2021
  • Análisis de eventos para evaluar competencias en experiencias de aprendizaje basadas en serious games
    JA Caballero Hernández
    2020
  • Analysis of learning records to detect student cheating on online exams: Case study during COVID-19 pandemic
    A Balderas, JA Caballero-Hernández
    Eighth international conference on technological ecosystems for enhancing … , 2020
    2020
    Citations: 76

MOST CITED SCHOLAR PUBLICATIONS

  • Skill assessment in learning experiences based on serious games: A Systematic Mapping Study
    JA Caballero-Hernández, M Palomo-Duarte, JM Dodero
    Computers & Education 113, 42-60 , 2017
    2017
    Citations: 98
  • Assessing foreign language learning through mobile game-based learning environments
    M Palomo-Duarte, A Berns, A Cejas, JM Dodero, JA Caballero, ...
    International Journal of Human Capital and Information Technology … , 2016
    2016
    Citations: 80
  • Analysis of learning records to detect student cheating on online exams: Case study during COVID-19 pandemic
    A Balderas, JA Caballero-Hernández
    Eighth international conference on technological ecosystems for enhancing … , 2020
    2020
    Citations: 76
  • Comparative study of Moodle plugins to facilitate the adoption of computer-based assessments
    M Huerta, JA Caballero-Hernández, MA Fernández-Ruiz
    Applied Sciences 12 (18), 8996 , 2022
    2022
    Citations: 29
  • Teamwork assessment in collaborative projects through process mining techniques
    JA Caballero-Hernández, A Balderas, M Palomo-Duarte, P Delatorre, ...
    The International journal of engineering education 36 (1), 470-482 , 2020
    2020
    Citations: 21
  • Supporting skill assessment in learning experiences based on serious games through process mining techniques
    JA Caballero Hernández, M Palomo Duarte, JM Dodero Beardo, ...
    2023
    Citations: 16
  • An architecture for skill assessment in serious games based on Event Sequence Analysis
    JAC Hernández, MP Duarte, JM Dodero
    Proceedings of the 5th international conference on technological ecosystems … , 2017
    2017
    Citations: 16
  • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations.
    A Balderas, MP Duarte, JAC Hernández, MR García, JM Dodero
    International Journal of Interactive Multimedia and Artificial Intelligence … , 2021
    2021
    Citations: 14
  • Integrating external evidences of skill assessment in Virtual Learning Environments
    JA Caballero, M Palomo, JM Dodero, G Rodríguez, MS Ibarra
    Fifth International Conference on e-Learning, Belgrade, Serbia , 2014
    2014
    Citations: 13
  • Discovering bottlenecks in a computer science degree through process mining techniques
    JA Caballero-Hernández, JM Dodero, I Ruiz-Rube, M Palomo-Duarte, ...
    2018 International Symposium on Computers in Education (SIIE), 1-6 , 2018
    2018
    Citations: 12
  • Model-driven skills assessment in knowledge management systems
    A Balderas, JA Caballero-Hernández, JM Dodero, M Palomo-Duarte, ...
    Journal of web engineering 18 (4–6), 353-379 , 2019
    2019
    Citations: 10
  • A Community-Driven Mobile System to Support Foreign Language Learning
    M Palomo-Duarte, A Berns, A Cejas, JM Dodero, ...
    Multidisciplinary Perspectives on Human Capital and Information Technology … , 2018
    2018
    Citations: 8
  • Evaluación de competencias en Serious games mediante analítica de aprendizaje con Process Mining
    JA Caballero-Hernández, T Person, M Palomo-Duarte, JM Dodero
    2019
    Citations: 6
  • Integrating quantitative and qualitative data in assessment of wiki collaborative assignments
    MP Duarte, A Balderas, JM Dodero, AJ Reinoso, JA Caballero, ...
    Proceedings of the Sixth International Conference on Technological … , 2018
    2018
    Citations: 5
  • Métodos de evaluación de competencias en serious games: estudio y análisis sobre su estado actual
    JA Caballero-Hernández, M Palomo-Duarte, JM Dodero
    IV Congreso Internacional Sobre Aprendizaje, Innovación y Competitividad … , 2017
    2017
    Citations: 5
  • Domain-driven competence assessment in virtual learning environments. Application to planning and time management skills
    A Balderas, A Galán-Pinero, JAC Hernández, GR Gómez, J Dodero, ...
    2014 International Symposium on Computers in Education (SIIE), 121-126 , 2014
    2014
    Citations: 4
  • Opinión de los estudiantes sobre el uso de un Modelo Grande de Lenguaje en una asignatura de Bases de Datos
    M Palomo-Duarte, R Baena-Pérez, A Balderas, JA Caballero-Hernández, ...
    Book of Abstracts. SIIE 2024. XXVI International Symposium on Computers in … , 2024
    2024
    Citations: 2
  • Assessment of Generic Skills through an Organizational Learning Process Model.
    A Balderas, JAC Hernández, JM Dodero, M Palomo-Duarte, I Ruiz-Rube
    WEBIST, 293-300 , 2018
    2018
    Citations: 2
  • Métodos de evaluación de competencias en serious games: estudio y análisis sobre su estado actual [Skill assessment methods in serious games: a state of the art study and analysis]
    JA Caballero-Hernández, M Palomo-Duarte, JM Dodero
    2017
    Citations: 2
  • Learning personalization in block-based programming languages using clustering and static code analysis
    T Person, JA Caballero-Hernández, C Romero, I Ruiz-Rube, JM Dodero
    Computers and Education Open, 100333 , 2026
    2026
    Citations: 1