Publicaciones en revistas ISI JCR
- 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. DOI: 10.15446/ing.investig.109389. Factor de impacto 2023: 0.6. JCR-SCI (Q3)
- 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. DOI: 10.1007/s10639-024-12618-x. Factor de impacto 2023: 4.8. JCR-SSCI (Q1)
- 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. Factor de impacto 2023: 1.2. JCR-SCI (Q3)
- 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. Factor de impacto 2023: 4.8. JCR-SSCI (Q1)
- 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. Factor de impacto 2023: 2.9. JCR-SCI (Q2), JCR-SSCI (Q2).
- 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).
- 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. Factor de impacto 2021: 2.109. JCR-SCI (Q3).
- 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).
- 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).
- 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. Factor de impacto 2020: 8.538. JCR-SCI (Q1), JCR-SSCI (Q1).
- 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. Factor de impacto 2020: 2.679. JCR-SCI (Q2).
- 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. Factor de impacto 2020: 3.367. JCR-SCI (Q2).
- 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. Factor de impacto 2020: 8.538. JCR-SCI (Q1), JCR-SSCI (Q1).
- 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. Factor de impacto 2019: 2.576. JCR-SCI (Q2), JCR-SSCI (Q2).
- 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. Factor de impacto 2019: 2.714. JCR-SCI (Q2), JCR-SSCI (Q1).
- 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. Factor de impacto 2019: 2.714. JCR-SCI (Q2), JCR-SSCI (Q1).
- 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. Factor de impacto 2018: 1.429. JCR-SCI (Q3), JCR-SSCI (Q2).
Publicaciones en otras revistas
- 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.
Publicaciones en congresos
- 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 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.
- 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, Clase 3 GII-GRIN-SCIE).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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) .
- 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, Clase 2 GII-GRIN-SCIE). Enlace a la presentación en el congreso.
- 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. Enlace: http://ceur-ws.org/Vol-2671/paper02.pdf.
- 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. Enlace: http://ceur-ws.org/Vol-2415/paper06.pdf.
- 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.
- 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 2018 IEEE Global Engineering Education Conference, Santa Cruz de Tenerife, Spain, April 2018 (EDUCON'18), 8 pages, pp. 1489-1496. DOI: 10.1109/EDUCON.2018.8363409.
- 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. Enlace a la presentación en el congreso.
Publicaciones en workshops
- 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. Enlace: http://ceur-ws.org/Vol-2704/paper5.pdf.
- 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.
Libros
- 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 Intergrate Learning Analytics Research Report. ISBN: 978-1-912669-02-8. Retrieved from: http://sheilaproject.eu/wp-content/uploads/2018/11/SHEILA-research-report.pdf.
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