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 Pedro Manuel Moreno Marcos
Associate Professor

Telephone:: (+34) 91-624-9947
Fax: 91-624-8749
E-mail: pemoreno@it.uc3m.es
Address: Universidad Carlos III de Madrid. Avda de la Universidad, 30
E-28911 Leganés (Madrid) Spain
Visits: Escuela Politécnica Superior · Building Torres Quevedo
Office 4.1.C12


 BIOGRAPHY

    Pedro Manuel Moreno Marcos is Associate Professor in the Department of Telematics Engineering at Universidad Carlos III de Madrid (UC3M). He received his Bachelor's Degree in Telecommunications Technologies Engineering in 2015, his Master's Degrees in Telecommunication Engineering and Telematic Engineering in 2017 and his PhD in Telematic Engineering in 2020. All of them were obtained at Universidad Carlos III de Madrid. Moreover, he has obtained several awards, including the Extraordinary Awards in the Bachelor's Degree, both Master's Degrees and PhD, and other awards which recognize his academic achievements, his Master's Thesis and PhD Thesis. He has participated in more than 10 research projects and he is currently the Principal Researcher of two projects at regional and national level. In addition, he is IEEE Senior Member and track chair of IEEE DEMOCON 2026. Currently, he has made 18 publications in JCR-indexed journals and multiple contributions in other journals and conferences. His areas of research interest include learning analytics (LA), Educational Data Mining, AI in Education, and MOOCs (Massive Open Online Courses).
 TEACHING

Formal education:
  • Current (Academic Year 2025/2026)
    1. Data Processing. Group 1 (Master in Internet of Things: Applied Technologies)
    2. Systems Architecture. Course coordinator and responsible of the theory groups M91 and M95, and group 196 (2nd year, Bachelor in Telecommunication Technologies Engineering and Dual Bachelor in Data Science and Engineering and Telecommunication Technologies Engineering)
    3. Basis for secure communication. Groups 91 and 92 (4th year, Bachelor in Telecommunication Technologies Engineering)
    4. Digital skills for data processing. Advanced Level. Course coordinator and instructor in group 51. Course coordination and instruction is carried out in the following degrees: 1) Bachelor in International Studies, (2) Bachelor in Data and Business Analytics, and (3) Dual Bachelor in International Studies and Business Administration.
    5. Advanced Knowledge of Spreadsheets. Instructor in group 53. This group is taught in the following degrees: (1) Dual Bachelor in International Studies and Law, (2) Dual Bachelor in International Studies and Economics, (3) Bachelor in Economics, (4) Bachelor in International Studies, (5) Dual Bachelor in International Studies and Business Administration, and (6) Bachelor in Finance and Accounting.
    6. Intermediate knowledge of Spreadsheets. Course coordinator in the first semester. Course coordination is carried out in the following degrees: (1) Bachelor in Law, (2) Bachelor in Tourism, and (3) Bachelor in Political Science.
  • Past Courses (Academic Years from 2016/2017 to 2024/2025)
    1. Systems Architecture Academic Year 2024/2025. Academic Year 2023/2024. Academic Year 2022/2023
    2. Design of Telematics Applications. Academic Year 2022/2023. Academic Year 2021/2022
    3. Data Processing. Academic Year 2024/2025. Academic Year 2023/2024. Academic Year 2022/2023. Academic Year 2021/2022
    4. Programming. Advanced Level. Academic Year 2022/2023
    5. Web Applications. Academic Year 2021/2022
    6. Intermediate knowledge of Spreadsheets. Academic Year 2024/2025. Academic Year 2023/2024. Academic Year 2022/2023. Academic Year 2021/2022. Academic Year 2020/2021
    7. Basis for secure communication. Academic Year 2024/2025. Academic Year 2023/2024. Academic Year 2022/2023. Academic Year 2021/2022. Academic Year 2020/2021. Academic Year 2019/2020. Academic Year 2018/2019
    8. Data protection & cybersecurity. Academic Year 2020/2021
    9. Systems Programming. Academic Year 2020/2021. Academic Year 2019/2020. Academic Year 2018/2019. Academic Year 2017/2018. Academic Year 2016/2017
    10. Communications Software. Academic Year 2020/2021
    11. Systems Architecture. Directed Studies Academic Year 2024/2025. Academic Year 2023/2024
Non-formal education:
  • Initial Teacher Training Course: Basic Training Sessions for Assistant Professors. February 2026 and October 2025
  • The magic of electronics, telecommunications and the Internet. November 2025, February 2025, November 2024, February 2024, November 2023 and 2022, and March 2022. July 2025, July 2024, July 2023, July 2022, July 2018 and July 2017 (with the name "Electromagic Communications")
  • Educational data analytics tools for teaching improvement in the evaluation, feedback and (re)design of courses. October 2025, May 2025, November 2024, June 2024, November 2023, and June 2022
  • Use of Analytical Tools of Learning for Teacher Improvement. May 2018
Massive Open Online Courses (MOOCs)
  • Sacando partido a la analítica de aprendizaje: casos de estudio. Nanomoocs. Link to the course
Directed and Defended Bachelor's Theses and Master's Theses (30)
  1. Masters' Theses in Master in Telecommunications Engineering (7)
  2. Masters' Theses in Master in Cybersecurity (2)
  3. Masters' Theses in Master in Applied Artificial Intelligence (1)
  4. Bachelor's Theses in Bachelor in Communication System Engineering (1)
  5. Bachelor's Theses in Bachelor in Sound and Image Engineering (1)
  6. Bachelor's Theses in Bachelor in Telecommunication Technologies Engineering (9)
  7. Bachelor's Theses in Bachelor in Telematics Engineering (1)
  8. Bachelor's Theses in Bachelor in Computer Science and Engineering (1)
  9. Bachelor's Theses in Bachelor in Data Science and Engineering (6)
  10. Dual Bachelor in Data Science and Engineering and Telecommunication Technologies Engineering (1)
PhD Theses

Currently supervising a doctoral thesis and open to supervising theses in the areas of learning analytics and AI in education.

 RESEARCH

Publications in ISI JCR journals
  1. Alberto Jiménez-Macías, Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, and Carlos Delgado Kloos. 2025. Evaluation of traditional machine learning algorithms for featuring educational exercises. Applied Intelligence, 55, 501. DOI: 10.1007/s10489-025-06386-5. Impact Factor 2024: 3.5. JCR-SCI (Q2)
  2. Cristian Olivares-Rodríguez, Pedro Manuel Moreno-Marcos, Eliana Scheihing García, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2024. An Actionable Learning Path-based Model to Predict and Describe Academic Dropout. Ingeniería e Investigación, 44(2). DOI: 10.15446/ing.investig.109389. Impact Factor 2023: 0.6. JCR-SCI (Q3)
  3. Adrián Carruana Martín, Carlos Alario-Hoyos, Pedro Manuel Moreno-Marcos, and Carlos Delgado Kloos. 2024. Student and teacher impact on the use of telepresence classrooms. Education and Information Technologies, 29, pp. 21355-21378. DOI: 10.1007/s10639-024-12618-x. Impact Factor 2023: 4.8. JCR-SSCI (Q1)
  4. Alberto Jiménez-Macías, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Margarita Ortiz-Rojas, and Carlos Delgado Kloos. 2023. Analyzing feature importance for a predictive undergraduate student dropout model. Computer Science and Information Systems, 20(1):175-194. DOI: 10.2298/CSIS211110050J. Impact Factor 2023: 1.2. JCR-SCI (Q3)
  5. Asma Shannan Alzahrani, Yi-Shan Tsai, Sehrish Iqbal, Pedro Manuel Moreno Marcos, Maren scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Naif Aljohani, and Dragan Gasevic. 2023. Untangling connections between challenges in adoption of learning analytics in higher education. Education and Information Technologies, 28:4563-4595. DOI: 10.1007/s10639-022-11323-x. Impact Factor 2023: 4.8. JCR-SSCI (Q1)
  6. Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Aarón Rubio-Fernández, Yi-Shan Tsai, Dragan Gasevic, and Carlos Delgado Kloos. 2023. A systematic analysis of learning analytics using multi-source data in the context of Spain. Behaviour & Information Technology, 42(5):643-657. DOI: 10.1080/0144929X.2022.2039767. Impact Factor 2023: 2.9. JCR-SCI (Q2), JCR-SSCI (Q2).
  7. Raquel L. Pérez-Nicolás, Carlos Alario-Hoyos, Iria Estévez-Ayres, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2021. Evaluation of an Algorithm for Automatic Grading of Forum Messages in MOOC Discussion Forums. Sustainability, 13(16):9364. DOI: 10.3390/su13169364. Impact Factor 2021: 3.889. JCR-SCI (Q2), JCR-SSCI (Q2).
  8. Eduardo Corral Abad, María J. Gómez García, Efren Diez-Jimenez, Pedro M. Moreno-Marcos, and Cristina Castejón Sisamon. 2021. Improving the learning of engineering students with interactive teaching applications. Computer Applications in Engineering Education, 29(6):1665-1674. DOI: 10.1002/cae.22415. Impact Factor 2021: 2.109. JCR-SCI (Q3).
  9. Sergio García-Molina, Carlos Alario-Hoyos, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, and Carlos Delgado Kloos. 2021. An Algorithm and a Tool for the Automatic Grading of MOOC Learners from Their Contributions in the Discussion Forum. Applied Sciences, 11(1):95. DOI: 10.3390/app11010095. Impact Factor 2021: 2.838. JCR-SCI (Q2).
  10. Kaire Kollom, Kairit Tammets, Maren Scheffel, Yi-Shan Tsai, Ioana Jivet, Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Alexander Whitelock-Wainwright, Adolfo Ruiz Calleja, Dragan Gasevic, Carlos Delgado Kloos, Hendrik Drachsler, and Tobias Ley. 2021. A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. The Internet and Higher Education, 49, April 2021, 100788. DOI: 10.1016/j.iheduc.2020.100788. Impact Factor 2021: 8.591. JCR-SSCI (Q1).
  11. Yi-Shan Tsai, Diego Rates, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Ioana Jivet, Maren Scheffel, Hendrik Drachsler, Carlos Delgado Kloos, and Dragan Gasevic. 2020. Learning Analytics in European Higher Education-Trends and Barriers. Computers & Education, 155, October 2020, 103933. DOI: 10.1016/j.compedu.2020.103933. Impact Factor 2020: 8.538. JCR-SCI (Q1), JCR-SSCI (Q1).
  12. Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, and Carlos Delgado Kloos. 2020. Re-defining, Analyzing and Predicting Persistence using Student events in Online Learning. Applied Sciences, 10(5):1722. DOI: 10.3390/app10051722. Impact Factor 2020: 2.679. JCR-SCI (Q2).
  13. Pedro Manuel Moreno-Marcos, Ting-Chuen Pong, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2020. Analysis of the Factors Influencing Learners' Performance Prediction with Learning Analytics. IEEE Access, 8:5264-5282. DOI: 10.1109/ACCESS.2019.2963503. Impact Factor 2020: 3.367. JCR-SCI (Q2).
  14. Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Jorge Maldonado-Mahauad, Mar Pérez-Sanagustín, Carlos Alario-Hoyos, and Carlos Delgado Kloos. 2020. Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. Computers & Education, 145(1), February 2020, 103728. DOI: 10.1016/j.compedu.2019.103728. Impact Factor 2020: 8.538. JCR-SCI (Q1), JCR-SSCI (Q1).
  15. Pedro Manuel Moreno-Marcos, Tinne De Laet, Pedro J. Muñoz-Merino, Carolien Van Soom, Tom Broos, Katrien Verbert, and Carlos Delgado Kloos. 2019. Generalizing predictive models of admission test success based on online interactions. Sustainability, 11(18):4940. DOI: 10.3390/su11184940. Impact Factor 2019: 2.576. JCR-SCI (Q2), JCR-SSCI (Q2).
  16. Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres and Carlos Delgado Kloos. 2019. A learning analytics methodology for understanding social interactions in MOOCs. IEEE Transactions on Learning Technologies, 12(4):442-455. DOI: 10.1109/TLT.2018.2883419. Impact Factor 2019: 2.714. JCR-SCI (Q2), JCR-SSCI (Q1).
  17. Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2019. Prediction in MOOCs: A review and future research directions. IEEE Transactions on Learning Technologies, 12(3):384-401. DOI: 10.1109/TLT.2018.2856808. Impact Factor 2019: 2.714. JCR-SCI (Q2), JCR-SSCI (Q1).
  18. Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, Iria Estévez-Ayres and Carlos Delgado Kloos. 2018. Analysing the predictive power for anticipating assignment grades in a Massive Open Online Course. Behaviour & Information Technology, 37(10-11):1021-1036. DOI: 10.1080/0144929X.2018.1458904. Impact Factor 2018: 1.429. JCR-SCI (Q3), JCR-SSCI (Q2).
Publications in other journals
  1. Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Ioana Jivet, Maren Scheffel, Kairit Tammets, Kaire Kollom, and Dragan Gasevic. 2018. The SHEILA framework: informing institutional strategies and policy processes of learning analytics. Journal of Learning Analytics, 5(3):5-20. DOI: 10.18608/jla.2018.53.2.
Publications in conferences
  • Carlos Delgado Kloos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, Pedro Manuel Moreno-Marcos, Patricia Callejo, and Rebiha Kemcha. 2026. Reimagining Educational Techniques with Artificial Intelligence. In Proceedings of the IEEE Global Engineering Education Conference, Cairo, Egypt, April 2026 (EDUCON '26), 8 pages (accepted). (Ranking: ICORE C).
  • Pedro Manuel Moreno-Marcos, Josué Gutiérrez Ledesma, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2025. Memory Bias: Analysis of the Effect of Memory on Skill Acquisition. In Proccedings of the 13th International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca, Spain, October 2025 (TEEM '25), 10 pages (accepted). Link to the presentation.
  1. Pedro Manuel Moreno-Marcos, Marina Serrano-Marín, Pedro J. Muñoz-Merino, Natalia Centeno Alejandre, Rafael Fernández Castillejos, María Victoria Pavón Lucero, Carlos Delgado Kloos, Rubén Conde Rubio, and Ariana Suárez Hernández. 2025. PALABRIA: Language Learning Enhancement through Linguistic Rule-Based Analytics and Artificial Intelligence. In Proceedings of the XVII Jornadas de Ingeniería Telemática, Cáceres, Spain, November 2025 (JITEL '25), 8 pages, pp. 324-331. Link: https://hdl.handle.net/10662/40415. Link to the presentation.
  2. Pedro Manuel Moreno-Marcos, Javier Gil Santiuste, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, and Carlos Delgado Kloos. 2025. Analysis and Evaluation of Gemini for Question Generation in Two Engineering Courses. In Proceedings of the 2025 IEEE Frontiers in Education Conference, Nashville, Tennessee, United States, November 2025 (FIE '25), 8 pages, pp. 1-8. (Ranking: Core C, Clase 3 GII-GRIN-SCIE). DOI: 10.1109/FIE63693.2025.11328589. Link to the presentation.
  3. Pedro Manuel Moreno-Marcos, María Sanz-Gómez, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, Iria Estévez-Ayres, and Carlos Delgado Kloos. 2025. Analysis of Students' Patterns and Prediction Using edX Data and Learning Analytics. In Proceedings of the 2025 IEEE Frontiers in Education Conference, Nashville, Tennessee, United States, November 2025 (FIE '25), 9 pages, pp. 1-9. (Ranking: Core C, Clase 3 GII-GRIN-SCIE). DOI: 10.1109/FIE63693.2025.11328216. Link to the presentation.
  4. Natalia Centeno Alejandre, Pedro Manuel Moreno-Marcos, and Marina Serrano-Marín. 2025. Mejora de la Escritura en Español mediante Inteligencia Artificial y Reglas Explícitas en Contextos Académicos. In Proceedings of the VII Congreso de la Sociedad de Humanidades Digitales Hispánicas, Valencia, Spain, October 2025 (HDH '25), 4 pages, 390-393. DOI: 10.7203/PUV-OA-9788491338307
  5. Pedro Manuel Moreno-Marcos, Carlos García Antolín, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2025. Integration of multiple sources to anticipate student performance using learning analytics. In Proceedings of the 25th IEEE International Conference on Advanced Learning Technologies, Changhua, July 2025 (ICALT '25), 3 pages, pp. 117-119. DOI: 10.1109/ICALT64023.2025.00039. Link to the presentation. (Ranking: Core B, Clase 3 GII-GRIN-SCIE).
  6. Pedro Manuel Moreno-Marcos, Miguel Rodríguez Guillén, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, and Carlos Delgado Kloos. 2025. Analysis of the Generalization of Students' Success Predictive Models in a Series of Java MOOCs on edX. In Proceedings of the 9th European MOOCs stakeholders Summit 2025, Palaiseau, France, June-July 2025 (eMOOCs '25), 10 pages, pp. 36-45. DOI: 10.1007/978-3-032-00056-9_4. Link to the presentation. Link to Zenodo version.
  7. Carlos Delgado Kloos, Carlos Alario-Hoyos, Rebiha Kemcha, Pedro Manuel Moreno-Marcos, Iria Estevez-Ayres, Patricia Callejo-Pinardo, Pedro J Munoz-Merino, Maria-Blanca Ibanez, and Mario Munoz-Organero. 2025. How Challenges Become Opportunities: Micro-credentials and Artificial Intelligence. In Proceedings of the 2025 IEEE Global Engineering Education Conference, London, United Kingdom, April 2025 (EDUCON '25) , 10 pages, pp. 1-10. DOI: 10.1109/EDUCON62633.2025.11016509.
  8. Marina Serrano Marín, Pedro Manuel Moreno Marcos, and María Victoria Pavón Lucero. 2025. Tú impersonal en la lengua académica: a propósito del proyecto PALABRIA. In Proceedings of the XVI Congreso Internacional de Lingüística General 2025, Alicante, Spain, June 2025 (CILG '25), 2 pages, pp. 380-381. Link book of abstracts: https://cilg2025.ua.es/uploads/site/files/Libro_Resumenes_CILG25.pdf. Link to the presentation.
  9. María Jesús Rodríguez-Triana, Ruth Cobos, Pedro Manuel Moreno-Marcos, Antonio Balderas, and Alejandra Martínez-Monés. 2025. Challenges for LA in Europe: Contributions from SNOLA. In Proceedings of the Learning Analytics Summer Institute Spain 2025, Vitoria, Spain, May 2025 (LASI SPAIN '25), 6 pages, pp. 1-6. Enlace: https://ceur-ws.org/Vol-4148/Paper10.pdf.
  10. Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2025. Improving generalizability of predictive models through course-related variables. In Proceedings of the Learning Analytics Summer Institute Spain 2025, Vitoria, Spain, May 2025 (LASI SPAIN '25), 7 pages, pp. 1-7. Enlace: https://ceur-ws.org/Vol-4148/Paper9.pdf. Link to the presentation.
  11. Pedro Manuel Moreno-Marcos, María Cantón Rello, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, and Carlos Delgado Kloos. 2025. Predicting Deadline-Driven Learners and Dropout in MOOCs: An Analysis of Learners' Behaviors. In Proceedings of the Learning Analytics Summer Institute Spain 2025, Vitoria, Spain, May 2025 (LASI SPAIN '25), 8 pages, pp. 1-8. Enlace: https://ceur-ws.org/Vol-4148/Paper8.pdf. Enlace a la presentación en el congreso.
  12. Carlos Delgado Kloos, Juan I. Asensio-Pérez, Davinia Hernández-Leo, Pedro Manuel Moreno-Marcos, Miguel L. Bote-Lorenzo, Patricia Santos, Carlos Alario-Hoyos, Yannis Dimitriadis, and Bernardo Tabuenca.
    13. 2025. GENIE Learn: Human-Centered Generative AI-Enhanced Smart Learning Environments. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU, Porto, April 2025 (CSEDU '25), 12 pages, pp. 15-26. DOI: 10.5220/0013076000003932. (Ranking: Core B, Best Paper Honourable Mention). Link to the presentation.
  13. Marina Serrano Marín, and Pedro Manuel Moreno Marcos. 2025. El proyecto PALABRIA-CM-UC3M: Perfeccionamiento del Aprendizaje de la Lengua mediante Analítica Basada en Reglas lingüísticas e Inteligencia Artificial. In Proceedings of the LIII Simposio Internacional de la Sociedad Española de Lingüística, Salamanca, January 2025 (SEL'25), 3 pages, pp. 497-499.
  14. Carlos Delgado Kloos, Carlos Alario-Hoyos, Iria Estévez-Ayres, Patricia Callejo-Pinardo, Miguel A Hombrados-Herrera, Pedro J Muñoz-Merino, Pedro Manuel Moreno-Marcos, Mario Muñoz-Organero, and María Blanca Ibáñez. 2024. How can Generative AI Support Education?. In Proceedings of the 2024 IEEE Global Engineering Education Conference, Kos Island, Greece, May 2024 (EDUCON'24), 7 pages, pp. 1-7. DOI: 10.1109/EDUCON60312.2024.10578716.
  15. Pedro Manuel Moreno-Marcos, Jorge Barredo, Pedro J. Muñoz-Merino and Carlos Delgado Kloos. 2023. Statoodle: A learning analytics tool to analyze Moodle students' actions and prevent cheating. In Proceedings of the 18th European Conference on Technology Enhanced Learning, Aveiro, Portugal, September 2023 (EC-TEL'23), 6 pages, pp. 736-741. DOI: 10.1007/978-3-031-42682-7_70. (Ranking: Core B, Class 3 GII-GRIN-SCIE).
  16. Carlos Delgado Kloos, Carlos Alario-Hoyos, María Blanca Ibáñez, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, and Iria Estévez-Ayres. 2023. Recognizing the Value of Recognition in Education. In Proceedings of the 2023 IEEE Global Engineering Education Conference, Salmaiya, Kuwait , May 2023 (EDUCON'23), 5 pages, pp. 1-5. DOI: 10.1109/EDUCON54358.2023.10125255.
  17. Carlos Alario-Hoyos, Carlos Delgado Kloos, and Pedro Manuel Moreno-Marcos. 2023. Promoting Student Interaction in Online Educational Environments With Engageli. In Proceedings of the 9th Asian Conference on Education & International Development, Tokyo, Japan, March 2023 (ACEID'23), 12 pages, pp. 113-124. DOI: 10.22492/issn.2189-101X.2023.10. Paper link.
  18. Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, and Carlos Delgado Kloos. 2022. Competition Supported by Information Technologies Including IoT Scenarios. In Proceedings of the XV Technologies Applied to Electronics Teaching Conference, Teruel, Spain, June-July 2022 (TAEE'22), 5 pages, pp. 1-5. DOI: 10.1109/TAEE54169.2022.9840626.
  19. Carlos Delgado Kloos, Carmen Fernández-Panadero, Carlos Alario-Hoyos, Pedro Manuel Moreno-Marcos, María Blanca Ibáñez, Pedro J. Muñoz-Merino, Boni García, and Iria Estévez-Ayres. 2022. Programming Teaching Interaction. In Proceedings of the 2022 IEEE Global Engineering Education Conference, Tunis, Tunisia, March 2022 (EDUCON'22), 5 pages, pp. 1965-1969. DOI: 10.1109/EDUCON52537.2022.9766697.
  20. Asma Alzahrani, Yi-Shan Tsai, Vitomir Kovanovic, Pedro Manuel Moreno-Marcos, Ioana Jivet, Naif Aljohani, and Dragan Gasevic. 2021. Success-enablers of Learning Analytics Adoption in Higher Education: A Quantitative Ethnographic Study. In Proceedings of the 3rd International Conference on Quantitative Ethnography, Malibu, California, USA, November 2021 (ICQE'21), 15 pages, pp. 395-409. DOI: 10.1007/978-3-030-93859-8_26.
  21. Mar Perez-Sanagustin, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Esteban Villalobos, Isabel Hilliger, Josefina Hernández, Diego Sapunar, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, and Jon Imaz. 2021. Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis. In Proceedings of the 8th ACM Conference on Learning @ Scale, Postdam, Germany, June 2021 (L@S'21), 4 pages, pp. 339-342. DOI: 10.1145/3430895.3460991.
  22. Carlos Delgado Kloos, Carlos Alario-Hoyos, Carmen Fernández-Panadero, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, Mario Muñoz-Organero, María Blanca Ibáñez, Pedro Manuel Moreno-Marcos, and Boni García. 2021. Towards a Cloud-Based University Accelerated through the Pandemic. In Proceedings of the 2021 IEEE Global Engineering Education Conference, Vienna, Austria, April 2021 (EDUCON'21), 8 pages, pp. 1642-1649. DOI: 10.1109/EDUCON46332.2021.9453967 (Best Paper Awards: Most Innovative Paper regarding Engineering Education) .
  23. Pedro Manuel Moreno-Marcos, Dánae Martínez de la Torre, Gabriel González Castro, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2020. Should we consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems? In Proceedings of the 16th International Conference on Intelligent Tutoring Systems, Athens, Greece, June 2020 (ITS '20), 10 pages, pp. 237-247. DOI: 10.1007/978-3-030-49663-0_28. (Ranking: Core A).
  24. Aarón Rubio-Fernández, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2020. An Initial Analysis of Prediction Techniques as a Support for the Flipped Classroom. In Proceedings of the Learning Analytics Summer Institute Spain 2020, Valladolid, Spain, June 2020 (LASI SPAIN '20), 8 pages, CEUR-WS.org, 2671, pp. 9-16. Link: http://ceur-ws.org/Vol-2671/paper02.pdf.
  25. Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, and Carlos Delgado Kloos. 2019. Analyzing Students' Persistence using an Event-Based Model. In Proceedings of the Learning Analytics Summer Institute Spain 2019, Vigo, Spain, June 2019 (LASI SPAIN '19), 15 pages, CEUR-WS.org, 2415, pp. 56-70. ISBN: 978-84-16829-40-8. Link: http://ceur-ws.org/Vol-2415/paper06.pdf.
  26. Jorge Maldonado-Mahauad, Mar Perez-Sanagustin, Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino and Carlos Delgado Kloos. 2018. Predicting Learners' Success in a Self-Paced MOOC Based on Sequence Patterns of Self-Regulated Learning. In Proceedings of the 13th European Conference on Technology Enhanced Learning, Leeds, UK, September 2018 (EC-TEL'18), 14 pages, pp. 355-369. DOI: 10.1007/978-3-319-98572-5_27.
  27. Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, and Carlos Delgado Kloos. 2018. Sentiment Analysis in MOOCs: A case study. In Proceedings of the IEEE Global Engineering Education, Santa Cruz de Tenerife, Spain, April 2018 (EDUCON'18), 8 pages, pp. 1489-1496. DOI: 10.1109/EDUCON.2018.8363409.
  28. Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Kairit Tammets, Kaire Kollom, and Dragan Gasevic. 2018. SHEILA policy framework: informing institutional strategies and policy processes of learning analytics. In Proceedings of the International Conference on Learning Analytics and Knowledge, Sydney, Australia, March 2018 (LAK'18), 10 pages, pp. 320-329. DOI: 10.1145/3170358.3170367. Link to the presentation.
Publications in workshops
  • Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino and Carlos Delgado Kloos. 2026. A Learning Analytics Research Agenda: Addressing Measurement and Evaluation Challenges in GenAI-Enhanced Smart Learning Environments. In Proceedings of the Learning Analytics for Human-Centered Generative AI-Enhanced Smart Learning Environments Workshop (LA4GenAISLE '26) , 7 pages (accepted).
  1. Vanessa Heredia-Jimenez, Alberto Jimenez, Margarita Ortiz-Rojas, Jon Imaz Marín, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, and Carlos Delgado Kloos. 2020. An early warning dropout model in higher education degrees: A case study in Ecuador. In Proceedings of the Adoption, Adaptation and Pilots of Learning Analytics in Under-represented Regions Workshop, 10 pages, CEUR-WS.org, 2704, pp. 58-67. Link: http://ceur-ws.org/Vol-2704/paper5.pdf.
  2. Pedro Manuel Moreno-Marcos, Tinne De Laet, Pedro J. Muñoz-Merino, Carolien Van Soom, Tom Broos, Katrien Verbert and Carlos Delgado Kloos. 2019. Predicting admission test success using SPOC interactions. In Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, Tempe, Arizona, USA, March 2019 (LAK'19), 11 pages, pp. 924-934. Link: Companion Proceedings LAK 2019.
Books
  1. Yi-Shan Tsai, Dragan Gasevic, Alexander Whitelock-Wainwright, Pedro J. Muñoz-Merino, Pedro M. Moreno-Marcos, Aarón Rubio Fernández, Carlos Delgado Kloos, Maren Scheffel, Ioana Jivet, Hendrik Drachsler, Kairit Tammets, Adolfo Ruiz Calleja, and Kaire Kollom. 2018. SHEILA: Supporting Higher Education to Intergrade Learning Analytics Research Report. ISBN: 978-1-912669-02-8. Retrieved from: http://sheilaproject.eu/wp-content/uploads/2018/11/SHEILA-research-report.pdf.
Workshop organization
  1. Pedro Manuel Moreno-Marcos, Miguel L. Bote-Lorenzo, Patricia Santos, Peter Brusilovsky, Mutlu Cukurova, Dragan Gasevic, Nancy Law, Marcus Specht, Daniel Spikol, Katrien Verbert, Carlos Delgado Kloos, Juan I. Asensio-Pérez and Davinia Hernández-Leo. 2026. Learning Analytics for Human-Centered Generative AI-Enhanced Smart Learning Environments. In Companion Proceedings of the 16th International Conference on Learning Analytics and Knowledge, Tempe, Arizona, USA, March 2026 (LAK'26) , 4 pages (accepted). Workshop webpage.
Outreach Articles
  1. Pedro Manuel Moreno-Marcos, Marina Serrano-Marín, Natalia Centeno Alejandre, and Rafael Fernández Castillejos. 2025. ¿Por qué se equivoca tanto el autocorrector? The Conversation. September 2025. DOI: 10.64628/AAO.cyaawtvg4.
  2. Pedro Manuel Moreno-Marcos, Marina Serrano-Marín, and Natalia Centeno Alejandre. 2025. ¿Puede la inteligencia artificial corregir errores ortográficos complejos? The Conversation. July 2025. DOI: 10.64628/AAO.mrcskxgfs.
 AWARDS

  1. April 2025: Best Paper Honorable Mention. 17th International Conference on Computer Supported Education (CSEDU). Web conference awards
  2. November 2021: Best Thesis Award, awarded by the Spanish Chapter of the IEEE Education Society (CESEI). Awards webpage
  3. July 2021: eMadrid Award 2021 for the best Ph.D. thesis, awarded by the eMadrid Network. Video of the talk in the eMadrid Workshop. Presentation in the eMadrid Workshop . Announcement of award recipients
  4. April 2021: Best Paper Awards. Most Innovative Paper regarding Engineering Education (Towards a Cloud Based University Accelerated By the Pandemic), awarded by the conference organizers of the IEEE EDUCON Global Engineering Education Conference 2021. Award
  5. December 2020: Outstanding Thesis Award. Telematic Engineering, awarded by Universidad Carlos III de Madrid. Phd Thesis. Award Recipients
  6. December 2018: Best Master's Thesis Award, awarded by the Spanish Chapter of the IEEE Education Society (CESEI). Awards webpage
  7. July 2018: Second Prize for the best Master's Thesis, awarded by the eMadrid Network. Announcement of award recipients
  8. June 2018: UBICA Award for the Best Academic Achievement, granted by the Official College of Telecommunications Engineers / Spanish Association of Telecommunications Engineers (COIT/AEIT).
    9. Announcement of award recipients
  9. Junio 2018: FUNDACIÓN TELEFÓNICA Award for the best Master's Thesis in Technology and Education, awarded by the Official Association of Telecommunications Engineers / Spanish Association of Telecommunications Engineers (COIT/AEIT). Announcement of award recipients
  10. November 2017: Extraordinary Award of the Master in Telematic Engineering (awarded to the best student). Academic Year 2016/2017
  11. November 2017: Extraordinary Award of the Master in Telecommunications Engineering (awarded to the best student). Academic Year 2016/2017
  12. November 2015: Extraordinary Award of the Bachelor's Degree in Telecommunication Technologies Engineering (awarded to the best student). Academic Year 2014/2015. There was also a ACCENTURE's accrediting diploma as a winner of the Extraordinary Award of the Bachelor's Degree in Telecommunication Technologies Engineering
  13. May 2014: Excellence Award of the Social Council of Universidad Carlos III de Madrid, awarded in the students' modality. Awards webpage
 TALKS

  1. September 2025: PALABRIA: AI at the service of language learning. Seminar "Use of AI in linguistics"- Held onsite on September 17, 2025, at la Universidad Carlos III de Madrid. Video of the talk. Link to the presentation.
  2. October 2024: PALABRIA: AI at the service of language learning. Inaugural session "Contextualizing DDHH in the field of film, language and digital culture of the I Cycle UC3M of Digital Humanities: Facing (Together) New Challenges and Opportunities". Held onsite on October 9, 2024 at Universidad Carlos III de Madrid. Video of the talk.
  3. October 2020: LALA Project to build capacities to use learning analytics in Latin America. National Science and Technology Week 2020. Held virtually on October 30th 2020 by Instituto Tecnológico de Zitácuaro (Mexico).
  4. July 2018: Quantitative research methodologies and learning analytics to evaluate learning tools and processes (workshop). I Latin American Conference and Summer School of Learning Analytics (LALA 2018). Held on July 9-10 in Guayaquil (Ecuador).
  5. June 2018: Student Perspectives. SHEILA Conference. Held on June 5, 2018 in Brussels. Link to the talk. Video of the talk. Link to the presentation.
  6. November 2017: Analysis of social interactions and prediction of assignment grades in a Massive Open Online Course. eMadrid Seminar on "OERs & Smart Education". Held on November 24, 2017 at the Universidad Nacional de Educación a Distancia (UNED). Link to the talk. Video of the talk.
 RESEARCH PROJECTS

European Projects:
  • LALA (Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America)
  • SHEILA (Supporting Higher Education to Integrate Learning Analytics)
National Projects:
  • GENIELearn (Human-Centered Generative AI-Enhanced Smart Learning Environments) - Participation as Principal Researcher
  • H2O Learn (Hybrid and Human-Oriented Learning: Trustworthy and Human-Centered Learning Analytics for Hybrid Education)
  • SmartLET (Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments)
  • SNOLA (Spanish Network of Learning Analytics)
  • RESET-UC3M (Reformulate Scalable Educational Ecosystems Offering Technological Innovations)
Regional Projects:
  • PALABRIA (Language Learning Enhancement through Linguistic Rule-Based Analytics and Artificial Intelligence) - Participation as Principal Researcher
  • eMadrid (eMadrid: Research and development network about e-learning technologies in the Madrid Region)
UC3M's Own Research and Transfer Program Projects:
  • ASESOR-IA (Learning Analytics to Support Students in Optimizing their Performance in Educational Environments with Artificial Intelligence) - Participation as Principal Researcher
 LINKS
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