Pedro Manuel Moreno-Marcos

According to our database, Pedro Manuel Moreno-Marcos authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Student and teacher impact on the use of telepresence classrooms.

Adrián Carruana Martín, Carlos Alario-Hoyos, Pedro Manuel Moreno-Marcos, Carlos Delgado Kloos

Educ. Inf. Technol., November, 2024

How can Generative AI Support Education?

Carlos Delgado Kloos, Carlos Alario-Hoyos, Iria Estévez-Ayres, Patricia Callejo-Pinardo, Miguel Ángel Hombrados-Herrera, Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Mario Muñoz Organero, María-Blanca Ibáñez

Proceedings of the IEEE Global Engineering Education Conference, 2024

2023

Untangling connections between challenges in the adoption of learning analytics in higher education.

Asma Alzahrani, Yi-Shan Tsai, Sehrish Iqbal, Pedro Manuel Moreno-Marcos, Maren Scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Naif R. Aljohani, Dragan Gasevic

Educ. Inf. Technol., April, 2023

A systematic analysis of learning analytics using multi-source data in the context of Spain.

Pedro J. Muñoz-Merino, Pedro Manuel Moreno-Marcos, Aarón Rubio-Fernández, Yi-Shan Tsai, Dragan Gasevic, Carlos Delgado Kloos

Behav. Inf. Technol., April, 2023

Analyzing feature importance for a predictive undergraduate student dropout model.

Alberto Jiménez-Macías, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Margarita Ortiz-Rojas, Carlos Delgado Kloos

Comput. Sci. Inf. Syst., 2023

Recognizing the Value of Recognition in Education.

Carlos Delgado Kloos, Carlos Alario-Hoyos, María-Blanca Ibáñez, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres

Proceedings of the IEEE Global Engineering Education Conference, 2023

Statoodle: A Learning Analytics Tool to Analyze Moodle Students' Actions and Prevent Cheating.

Pedro Manuel Moreno-Marcos, Jorge Barredo, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Programming Teaching Interaction.

Carlos Delgado Kloos, Carmen Fernández-Panadero, Carlos Alario-Hoyos, Pedro Manuel Moreno-Marcos, María-Blanca Ibáñez, Pedro J. Muñoz-Merino, Boni García, Iria Estévez-Ayres

Proceedings of the IEEE Global Engineering Education Conference, 2022

2021

A four-country cross-case analysis of academic staff expectations about learning analytics in higher education.

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, Tobias Ley

Internet High. Educ., 2021

Improving the learning of engineering students with interactive teaching applications.

Eduardo Corral, María J. Gómez García, Efrén Díez-Jiménez, Pedro Manuel Moreno-Marcos, Cristina Castejón Sisamon

Comput. Appl. Eng. Educ., 2021

Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis.

Mar Pérez-Sanagustín, 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, Jon Imaz Marín

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Success-Enablers of Learning Analytics Adoption in Higher Education: A Quantitative Ethnographic Study.

Asma Alzahrani, Yi-Shan Tsai, Vitomir Kovanovic, Pedro Manuel Moreno-Marcos, Ioana Jivet, Naif R. Aljohani, Dragan Gasevic

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Towards a Cloud-Based University Accelerated By the Pandemic.

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, Boni García

Proceedings of the IEEE Global Engineering Education Conference, 2021

2020

Learning analytics in European higher education - Trends and barriers.

Yi-Shan Tsai, Diego Rates, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Ioana Jivet, Maren Scheffel, Hendrik Drachsler, Carlos Delgado Kloos, Dragan Gasevic

Comput. Educ., 2020

Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs.

Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Jorge Maldonado-Mahauad, Mar Pérez-Sanagustín, Carlos Alario-Hoyos, Carlos Delgado Kloos

Comput. Educ., 2020

Analysis of the Factors Influencing Learners' Performance Prediction With Learning Analytics.

Pedro Manuel Moreno-Marcos, Ting-Chuen Pong, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

IEEE Access, 2020

An initial analysis of prediction techniques as a support for the flipped classroom.

Aarón Rubio-Fernández, Pedro Manuel Moreno-Marcos, Pedro José Muñoz Merino, Carlos Delgado Kloos

Proceedings of the Learning Analytics Summer Institute Spain 2020: Learning Analytics. Time for Adoption?, 2020

Should We Consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems?

Pedro Manuel Moreno-Marcos, Dánae Martínez de la Torre, Gabriel González Castro, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

An early warning dropout model in higher education degree programs: A case study in Ecuador.

Vanessa Heredia-Jiménez, Alberto Jiménez, Margarita Ortiz-Rojas, Jon Imaz Marín, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

Proceedings of the Workshop on Adoption, 2020

2019

A Learning Analytics Methodology for Understanding Social Interactions in MOOCs.

Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, Carlos Delgado Kloos

IEEE Trans. Learn. Technol., 2019

Prediction in MOOCs: A Review and Future Research Directions.

Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos

IEEE Trans. Learn. Technol., 2019

Analyzing students' persistence using an event-based model.

Pedro Manuel Moreno-Marcos, Pedro José Muñoz Merino, Carlos Alario-Hoyos, Carlos Delgado Kloos

Proceedings of the Learning Analytics Summer Institute Spain 2019: Learning Analytics in Higher Education, 2019

2018

The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics.

Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Ioana Jivet, Maren Scheffel, Kairit Tammets, Kaire Kollom, Dragan Gasevic

J. Learn. Anal., November, 2018

Analysing the predictive power for anticipating assignment grades in a massive open online course.

Pedro Manuel Moreno-Marcos, Pedro J. Muñoz Merino, Carlos Alario-Hoyos, Iria Estévez-Ayres, Carlos Delgado Kloos

Behav. Inf. Technol., 2018

SHEILA policy framework: informing institutional strategies and policy processes of learning analytics.

Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Kairit Tammets, Kaire Kollom, Dragan Gasevic

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Sentiment analysis in MOOCs: A case study.

Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz Merino, Iria Estévez-Ayres, Carlos Delgado Kloos

Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

Predicting Learners' Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning.

Jorge Maldonado-Mahauad, Mar Pérez-Sanagustín, Pedro Manuel Moreno-Marcos, Carlos Alario-Hoyos, Pedro J. Muñoz Merino, Carlos Delgado Kloos

Proceedings of the Lifelong Technology-Enhanced Learning, 2018