Profesor Titular de Universidad en el Departamento de Educación y Psicología Social de la Universidad Pablo de Olavide (Sevilla, España). Doctor en Ciencias de la Educación y Premio extraordinario de tesis doctoral por la Universidad de Sevilla.
Director del Grupo de Investigación EduInnovagogía (HUM-971).
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Editor de la Revista Internacional: "International Journal of Educational Research and Innovation (IJERI). ISSN 2386-4303.
Director de la Cátedra institucional de Educación y Tecnología Emergentes, Gamificación e Inteligencia Artificial (EduEmer).
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Director Ext. y Relaciones Internacionales, ad honorem, IICSE (Univ. Atacama-Chile).
Reconocido dos tramos de investigación (sexenios) por la Comisión Nacional Evaluadora de la Actividad Investigadora del Ministerio de Educación, Cultura y Deportes.
Coordinador del colectivo docente INNOVAGOGÍA (.
Dirección de 15 tesis doctorales.
112
Scopus Publications
Scopus Publications
Citizen Science and STEM Education with R: AI–IoT Forecasting and Reproducible Learning from Open Urban Air Quality Data Jesús Cáceres-Tello, José Javier Galán-Hernández, María Belén Morales Cevallo, Eloy López-Meneses Applied Sciences Switzerland, 2025 Open urban environmental data offer a unique opportunity to connect scientific research, education, and citizen participation. Leveraging IoT-based sensor networks and AI-driven forecasting models, this study integrates open environmental data with reproducible analysis and learning workflows. This study presents a reproducible workflow developed in the Quarto–R environment to analyse and model air-quality dynamics in Madrid between 2020 and 2024. The workflow integrates data acquisition, validation, harmonisation, exploratory analysis, and forecasting using the Prophet model. The analysis focuses on nitrogen dioxide (NO2) and ozone (O3) as representative pollutants of traffic emissions and photochemical processes. Results show a marked decline in NO2 concentrations across traffic stations and a parallel rise in O3 levels in suburban areas, reflecting the combined effects of emission control and regional transport. Beyond its scientific contribution, the Quarto–R workflow functions as a pedagogical tool that embeds transparency, traceability, and active learning throughout the analytical process. By enabling students and researchers to reproduce every step, from raw data to interpreted results, it strengthens data literacy and fosters a deeper understanding of urban sustainability. The framework exemplifies how open data and reproducible computing can be integrated into STEM education and citizen-science initiatives, promoting both environmental awareness and methodological integrity, thus bridging artificial intelligence and experiential learning.
Harnessing Intelligent GISs for Educational Innovation: A Bibliometric Analysis of Real-Time Data Models Eloy López-Meneses, Irene-Magdalena Palomero-Ilardia, Noelia Pelícano-Piris, María-Belén Morales-Cevallos Education Sciences, 2025 This study explores the potential of Intelligent Geographic Information Systems (GISs) in advancing educational practices through the integration of real-time data models. The objective is to investigate how GIS technology can enhance teaching and learning by providing interactive and dynamic learning environments. The research employs a bibliometric analysis based on the Scopus database, covering the period from 2000 to 2024, to identify key trends, the evolution of GIS applications in education, and their pedagogical impact. Findings reveal that GISs, particularly when incorporating real-time data, enable a more immersive learning experience, facilitate data-driven decision-making, and promote student engagement through project-based learning. However, challenges such as the lack of specialized training for educators and limitations in technological infrastructure remain significant barriers to widespread adoption. The study concludes that Intelligent GISs have the potential to transform education by fostering personalized, interdisciplinary learning and enhancing educational management. It emphasizes the need for further research aimed at developing user-friendly systems and addressing ethical concerns to ensure the benefits of GIS technology are accessible to all students. Future studies should examine the long-term effects of GISs on student outcomes and explore their integration into diverse educational contexts.
Quantum Computing in Data Science and STEM Education: Mapping Academic Trends and Analyzing Practical Tools Eloy López-Meneses, Jesús Cáceres-Tello, José Javier Galán-Hernández, Luis López-Catalán Computers, 2025 Quantum computing is emerging as a key enabler of digital transformation in data science and STEM education. This study investigates how quantum computing can be meaningfully integrated into higher education by combining a dual approach: a structured assessment of the specialized literature and a practical evaluation of educational tools. First, a science mapping study based on 281 peer-reviewed publications indexed in Scopus (2015–2024) identifies growth trends, thematic clusters, and international collaboration networks at the intersection of quantum computing, data science, and education. Second, a comparative analysis of widely used educational platforms—such as Qiskit, Quantum Inspire, QuTiP, and Amazon Braket—is conducted using pedagogical criteria including accessibility, usability, and curriculum integration. The results highlight a growing convergence between quantum technologies, artificial intelligence, and data-driven learning. A strategic framework and roadmap are proposed to support the gradual and scalable adoption of quantum literacy in university-level STEM programs.
Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics Eloy López-Meneses, Pedro C. Mellado-Moreno, Celia Gallardo Herrerías, Noelia Pelícano-Piris Computers, 2025 This article provides a comprehensive analysis of the research dynamics on the use of Educational Data Mining (EDM) and predictive modeling (PM) in the era of Artificial Intelligence (AI) based on the review of 793 articles published between 2000 and 2024 in the Scopus database. The study employs bibliometric analysis and systematic literature review to identify emerging trends, methodologies, and applications in these fields. The main objective of the study is to examine the primary methodologies and innovations within AI, especially in the context of EDM and PM. It highlights how these technologies can optimize the prediction of student performance, support personalized learning, and enable timely interventions through the analysis of student data. The study also examines the role of AI in improving teaching practices, ensuring that educators maintain control over the system and minimize potential biases. Furthermore, the article addresses the ethical implications of AI implementation in education, such as privacy protection, algorithm transparency, and equity in access to learning. The findings suggest that AI has the potential to significantly improve educational outcomes and optimize student tracking, resource allocation, and the overall effectiveness of educational institutions. The responsible implementation of AI in education is emphasized to ensure inclusive and fair environments for all students.
Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge Eloy López-Meneses, Luis López-Catalán, Noelia Pelícano-Piris, Pedro C. Mellado-Moreno Applied Sciences Switzerland, 2025 This study explores the integration of artificial intelligence (AI) into educational data mining (EDM), human-assisted machine learning (HITL-ML), and machine-assisted teaching, with the aim of improving adaptive and personalized learning environments. A systematic review of the scientific literature was conducted, analyzing 370 articles published between 2006 and 2024. The research examines how AI can support the identification of learning patterns and individual student needs. Through EDM, student data are analyzed to predict student performance and enable timely interventions. HITL-ML ensures that educators remain in control, allowing them to adjust the system according to their pedagogical goals and minimizing potential biases. Machine-assisted teaching allows AI processes to be structured around specific learning criteria, ensuring relevance to educational outcomes. The findings suggest that these AI applications can significantly improve personalized learning, student tracking, and resource optimization in educational institutions. The study highlights ethical considerations, such as the need to protect privacy, ensure the transparency of algorithms, and promote equity, to ensure inclusive and fair learning environments. Responsible implementation of these methods could significantly improve educational quality.
Diachronic research on the time of internet use for academic tasks by Spanish-speaking university students in the pre-COVID era José Gómez-Galán, Eloy López-Meneses, David Cobos-Sanchiz Discover Education, 2024 The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching–learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in education to be distorted, as their use multiplied exponentially in a few months. However, it is interesting to know how integrating these media and tools in the educational world evolved without having mediated an anomalous event such as the pandemic. This article studies the time university students in Spanish-speaking countries spent using the Internet for educational tasks in the pre-COVID era to determine whether this use was homogeneous in this common geographical and cultural space. Knowledge of these behaviors is valuable for analyzing their relationship with the then-current processes of ICT integration in higher education. It can serve as a basis for comparative studies of these trends and what happened during and after the pandemic. Among them is determining whether specific ICT integration strategies were not pedagogically adequate due to the situation’s urgency. The analysis of this study was descriptive and inferential statistics, based on the survey method with the application of data mining using software R. It was carried out over seven years (2012–2018) and applied to a sample of 2482 students from seven countries. The findings obtained have allowed us to determine that the use of the Internet by Spanish-speaking university students, in general, increased significantly over time in the pre-COVID era, in parallel to a more significant presence in educational processes, with conditioning factors in each country depending on its economy and political and social situation.
Science Mapping of AI as an Educational Tool Exploring Digital Inequalities: A Sociological Perspective Isotta Mac Fadden, Elena-María García-Alonso, Eloy López Meneses Multimodal Technologies and Interaction, 2024 This study aims to explore the evolution of the literature on the sociological implications of integrating artificial intelligence (AI) as an educational tool, particularly its influence on digital inequalities. While AI technologies, such as AI-based language models, have begun transforming educational practices by personalizing learning, fostering student autonomy, and supporting educators, concerns remain regarding access disparities, ethical implications, and the potential reinforcement of existing social inequalities. To address these issues, a bibliometric analysis employing science mapping was conducted on 1515 studies sourced from the Web of Science Core Collection. This analysis traces the thematic evolution of social science perspectives on AI’s role in education and its relationship with digital inequalities. The results indicate a growing academic interest in AI in education, with a notable progression from understanding its basic impact to exploring complex themes such as vulnerability, disability, bias, and community. The studies show that AI’s application has expanded from isolated research on specific populations to broader discussions on inclusivity, equity, and the impact of AI on governance, policy, and community. However, the findings also reveal a significant gap in sociological perspectives, particularly regarding issues like digital illiteracy and socio-economic access disparities. Although AI holds promise for promoting more inclusive education, further research is essential to address these sociological concerns and to guide the ethical, equitable implementation of AI as its influence on governance, policy, and community impact continues to grow.
The psycho-social impact of video games on K12 Spanish students Esteban Vázquez-Cano, Mercedes Quero-Gervilla, María-Pilar Quicios-García, Eloy López-Meneses Journal of New Approaches in Educational Research, 2024 This research aims to study the psycho-social impact of video games on K12 students. For this, a probabilistic topic modelling analysis method based on text mining approach has been performed. This process is based on nodes’ connectivity and it has been developed through K Means approach; by launching the Jenks-Breaks algorithm. The sex differences are calculated according to a nonlinear dynamics approach based on Hurst exponent and multifractal function and the influence of time with the application of the Sobel test. The results show which are the most used video games by K12 and their psycho-social impact on students based on four categories: (1) boredom and sadness, (2) happiness and socialization, (3) immersion, and (4) families' conflicts. There are significant differences between boys and girls depending on the games they use, a factor that increases when playing more than two hours a day. For boys, games like FIFA and Fortnite produce higher levels of immersion and family conflict, while for girls, games are perceived as sources of greater happiness and a means to reinforce friendship and camaraderie, particularly with games like Brawl Stars, Rocket League, and PKXD.
The Impact of Parental Involvement on the Educational Development of Students with Autism Spectrum Disorder José Fernández Cerero, Marta Montenegro Rueda, Eloy López Meneses Children, 2024 Background/Objectives: Parental involvement is vital for the academic success and overall development of students, particularly those with Autism Spectrum Disorder (ASD), who face unique educational challenges. This study investigates the influence of parental involvement on the academic performance and school adjustment of students with ASD, focusing on the interplay of cultural identity and first language in their educational and social growth. The research also seeks to identify the challenges parents face and the strategies they use to support their children. Method: Employing a qualitative, interpretive approach, this study involved 42 parents of secondary school students with ASD in Seville, Spain. Data collection included in-depth interviews and focus group discussions, allowing for a comprehensive understanding of parental experiences. Results: The study found that active parental involvement greatly enhances students’ academic performance and emotional well-being. Key strategies include creating structured home environments, utilizing assistive technologies, and fostering open communication with school staff. However, parents reported significant challenges, including limited school resources, communication barriers with educators, and a lack of ASD-specific training for teachers and parents. These challenges often hinder their ability to fully support their children’s education. Conclusions: Active parental involvement is crucial for the educational success of students with ASD. The findings highlight the need for improved communication between schools and families, increased resources, and targeted ASD training for both teachers and parents. Additionally, the study advocates for greater investment in assistive technologies to better support students with ASD. Addressing these needs could significantly improve the educational experiences and outcomes for these students.
The rugby training in coaches from Almeria Guillermo López Muñiz, Eloy López Meneses, José Carlos Jaenes Sánchez, Carlos Arenas- Muñiz International Journal of Educational Research and Innovation, 2019
MOOC Courses and the Future of Higher Education: A New Pedagogical Framework Mooc Courses and the Future of Higher Education A New Pedagogical Framework, 2019
Analysis of social worker and educator's areas of intervention through multimedia concept maps and online discussion forums in higher education Electronic Journal of E Learning, 2015