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 Pedro Manuel Moreno Marcos
Visiting Professor

Telephone:: (+34) 91-624-6232
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 4.0.F02


 BIOGRAPHY

    Pedro Manuel Moreno Marcos is Visiting Professor in the Department of Telematics Engineering at Universidad Carlos III de Madrid (UC3M). He received his Bachelor in Telecommunications Technologies Engineering in 2015 as well as his Master Degrees in Telecommunication Engineering and Telematic Engineering, which were both obtained in 2017. All of them (bachelor and masters) were obtained at Universidad Carlos III de Madrid. Moreover, he has obtained several awards, including the Extraordinary Awards in the Bachelor Degree and both Master Degrees, and other awards which recognize his academic achievements and Master Thesis. In 2017, he obtained a FPU fellowship to carry out his PhD, which was finished in July 2020. He also obtained the Outstanding Thesis Award. In January 2021, he obtained the positive evaluations from ANECA for the academic positions of Assistant Professor, Private University Professor, and Associate Professor (as non-civil servant). He worked as Specific Teaching Assitant in the academic year 2020/2021, as Assistant Professor in the academic year 2021/2022, and he is Visiting Professor since September 2022. Currently, he has made 14 publications in JCR-indexed journals and multiple contributions in other journals and conferences. His areas or research interest include learning analytics, Educational Data Mining and MOOCs (Massive Open Online Courses).
 TEACHING

Formal education:
  • Current (Academic Year 2022/2023)
    1. Design of Telematics Applications. Groups 1 and 2 (1st year, Master in Telecommunications Engineering)
    2. Data Processing. Group 1 (Master in Internet of Things: Applied Technologies)
    3. Systems Architecture. Course coordinator and responsible of the theory group M95 and group 95 (2nd year, Bachelor in Telecommunication Technologies Engineering and Dual Bachelor in Data Science and Engineering and Telecommunication Technologies Engineering)
    4. Basis for secure communication. Groups 91 and 92 (4th year, Bachelor in Telecommunication Technologies Engineering)
    5. Intermediate knowledge of Spreadsheets. Course coordinator in the first and second semester and responsible of one group to be confirmed. Course coordination is carried out in the following degrees: (1) Dual Bachelor in Political Science and Sociology, (2) Dual Bachelor in Law and Political Science, (3) Bachelor in Sociology, (4) Dual Bachelor in Journalism and Film, Television and Media Studies, (5) Dual Bachelor in Journalism and Humanities Studies, (6) Bachelor in Film, Television and Media Studies, (7) Bachelor in Cultural Studies, (8) Bachelor in History and Politics, (9) Bachelor in Humanities, and (10) Bachelor in Journalism.
  • Past Courses (Academic Years from 2016/2017 to 2021/2022)
    1. Design of Telematics Applications. Academic Year 2021/2022
    2. Data Processing. Academic Year 2021/2022
    3. Web Applications. Academic Year 2021/2022
    4. Intermediate knowledge of Spreadsheets. Academic Year 2021/2022. Academic Year 2020/2021
    5. Basis for secure communication. Academic Year 2021/2022. Academic Year 2020/2021. Academic Year 2019/2020. Academic Year 2018/2019
    6. Data protection & cybersecurity. Academic Year 2020/2021
    7. Systems Programming. Academic Year 2020/2021. Academic Year 2019/2020. Academic Year 2018/2019. Academic Year 2017/2018. Academic Year 2016/2017
    8. Communications Software. Academic Year 2020/2021
Non-formal education:
  • The magic of electronics, telecommunications and the Internet. November 2022 and July 2022. July 2022, July 2028 and July 2017 (with the name "Electromagic Communications")
  • Educational data analytics tools for teaching improvement in the evaluation, feedback and (re)design of courses. June 2022
  • Use of Analytical Tools of Learning for Teacher Improvement. May 2018
Directed Bachelor's Theses and Master's Theses
  • Masters' Theses in Master in Telecommunications Engineering (1)
  • Masters' Theses in Master in Cybersecurity (1)
  • Bachelor's Theses in Bachelor in Communication System Engineering (1)
  • Bachelor's Theses in Bachelor in Telecommunication Technologies Engineering (4)
  • Bachelor's Theses in Bachelor in Telematics Engineering (1)
  • Currently direction of several Bachelor's Theses and Master's Theses in degrees related to Telecommunications, Data Science and Engineering, and the Master in Telecommunications Engineering
 RESEARCH

Publications in ISI JCR journals
  1. Alberto Jiménez-Macías, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Margarita Ortiz-Rojas, and Carlos Delgado Kloos. 2022. Analyzing feature importance for a predictive undergraduate student dropout model. Computer Science and Information Systems. DOI: 10.2298/CSIS211110050J. Impact Factor 2021: 1.170. JCR-SCI (Q4)
  2. Asma Shannan Alzahrani, Yi-Shan Tsai, Sehrish Iqbal, Pedro Manuel Moreno Marcos, Maren scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Naif Aljohani, and Dragan Gasevic. 2022. Untangling connections between challenges in adoption of learning analytics in higher education. Education and Information Technologies. DOI: 10.1007/s10639-022-11323-x. Impact Factor 2021: 3.666. JCR-SSCI (Q1)
  3. Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Aarón Rubio-Fernández, Yi-Shan Tsai, Dragan Gasevic, and Carlos Delgado Kloos. 2022. A systematic analysis of learning analytics using multi-source data in the context of Spain. Behaviour & Information Technology. DOI: 10.1080/0144929X.2022.2039767. Factor de impacto 2021: 3.320. JCR-SCI (Q2), JCR-SSCI (Q2).
  4. 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. Factor de impacto 2021: 3.889. JCR-SCI (Q2), JCR-SSCI (Q2).
  5. 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. Factor de impacto 2021: 2.838. JCR-SCI (Q2).
  6. 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. Factor de impacto 2021: 8.591. JCR-SSCI (Q1).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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) .
  6. 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). Link to the presentation.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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
  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 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.
 AWARDS

  1. November 2021: Best Thesis Award, awarded by the Spanish Chapter of the IEEE Education Society (CESEI). Awards webpage
  2. 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
  3. 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
  4. December 2020: Outstanding Thesis Award. Telematic Engineering, awarded by Universidad Carlos III de Madrid. Phd Thesis. Award Recipients
  5. December 2018: Best Master's Thesis Award, awarded by the Spanish Chapter of the IEEE Education Society (CESEI). Awards webpage
  6. July 2018: Second Prize for the best Master's Thesis, awarded by the eMadrid Network. Announcement of award recipients
  7. June 2018: UBICA Award for the Best Academic Achievement, granted by the Official College of Telecommunications Engineers / Spanish Association of Telecommunications Engineers (COIT/AEIT).
    8. Announcement of award recipients
  8. 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
  9. November 2017: Extraordinary Award of the Master in Telematic Engineering (awarded to the best student). Academic Year 2016/2017
  10. November 2017: Extraordinary Award of the Master in Telecommunications Engineering (awarded to the best student). Academic Year 2016/2017
  11. 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
  12. May 2014: Excellence Award of the Social Council of Universidad Carlos III de Madrid, awarded in the students' modality. Awards webpage
 TALKS

  • 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).
  • 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).
  • 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.
  • 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:
  • H20 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:
  • eMadrid (eMadrid: Research and development network about e-learning technologies in the Madrid Region)
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