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Pedro Manuel Moreno Marcos
Specific Teaching Assistant with PhD (AE2)

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 Specific Teaching Assistant 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. During the PhD period, he made 8 publications in JCR-indexed journals and multiple contributions in other journals and conferences, among others. His areas or research interest include learning analytics, Educational Data Mining and MOOCs (Massive Open Online Courses).
 TEACHING

Formal education:
  • [2020/2021] Intermediate knowledge of Spreadsheets. Course coordinator in the first semester and responsible of groups 152 and 153 (2nd Course, Bachelor in Law)
  • [2020/2021] Basis for secure communication. Group 92 (4th Course, Bachelor in Telecommunication Technologies Engineering)
  • [2020/2021] Communications Software. Group 71 (3rd Course, Bachelor in Telematics Engineering)
  • [2019/2020] Systems Programming. Group 72 (1st Course, Bachelor in Telematics Engineering)
  • [2019/2020] Basis for secure communication. Group 91 (4th Course, Bachelor in Telecommunication Technologies Engineering)
  • [2018/2019] Systems Programming. Group 95 (1st Course, Bilingual Bachelor in Telecommunication Technologies Engineering)
  • [2018/2019] Basis for secure communication. Group 91 (4th Course, Bachelor in Telecommunication Technologies Engineering)
  • [2017/2018] Systems Programming. Groups 67 and 95 (1st Course, Bilingual Bachelor in Telecommunication Technologies Engineering and Bachelor in Audiovisual System Engineering)
  • [2016/2017] Systems Programming. Groups 65, 69 and 79 (1st course, Bilingual Bachelor in Communication System Engineering, Audiovisual System Engineering and Telematics Engineering)
Non-formal education:
  • [July 2018] The magic of electronics, telecommunications and the Internet (Summer Program of Science and Technology TECNOCAMP, organized by the Universidad Carlos III de Madrid for high-school students)
  • [May 2018] Use of Analytical Tools of Learning for Teacher Improvement, part of the Teacher Training Plan of the Universidad Carlos III de Madrid
  • [July 2017] Electromagic Communications (Summer Program of Science and Technology TECNOCAMP, organized by the Universidad Carlos III de Madrid for high-school students)
 RESEARCH

Publications in ISI JCR journals
  1. 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. DOI: 10.1016/j.compedu.2020.103933. Impact Factor 2019: 5.296. JCR-SCI (Q1), JCR-SSCI (Q1).
  2. 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 2019: 2.474. JCR-SCI (Q2).
  3. 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 2019: 3.745. JCR-SCI (Q1).
  4. 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. DOI: 10.1016/j.compedu.2019.103728. Impact Factor 2019: 5.296. JCR-SCI (Q1), JCR-SSCI (Q1).
  5. 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).
  6. 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).
  7. 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).
  8. 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 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)
  2. 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 [accepted].
  3. 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.
  4. 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.
  5. 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.
  6. 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 [accepted].
  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. Enlace: 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.
 TALKS

  • [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:
  • 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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