Pedro Manuel Moreno-Marcos

Visiting Professor

Universidad Carlos III de Madrid

Spain

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Pedro Manuel Moreno-Marcos is a Visiting Professor at Universidad Carlos III de Madrid, Spain. His research focuses on learning analytics, student dropout prediction, and the use of telepresence classrooms. Recent articles highlight his work on actionable models for predicting academic dropout and analyzing feature importance in educational settings.

Articles (12)

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (7)

Maren Scheffel

Ruhr-Universität Bochum

GERMANY

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Yi-Shan Tsai

Lecturer

MONASH UNIVERSITY

AUSTRALIA

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Hendrik Drachsler

Open Universiteit

NETHERLANDS

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Dragan Gasevic

MONASH UNIVERSITY

AUSTRALIA

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Carlos Delgado Kloos

Professor

Universidad Carlos III de Madrid

SPAIN

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EDUARDO CORRAL

Universidad Carlos III de Madrid

SPAIN

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Pedro Muñoz-Merino

Universidad Carlos III de Madrid

SPAIN

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Pedro Manuel Moreno-Marcos

Research Interests

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About

Articles (12)

An actionable learning path-based model to predict and describe academic dropout,Un modelo accionable basado en el camino de aprendizaje para predecir y describir la deserción académica

Student and teacher impact on the use of telepresence classrooms

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

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

Analyzing Feature Importance for a Predictive Undergraduate Student Dropout Model

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

Analyzing feature importance for a predictive undergraduate student dropout model

Improving the learning of engineering students with interactive teaching applications

Evaluation of an Algorithm for Automatic Grading of Forum Messages in MOOC Discussion Forums

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

An Algorithm and a Tool for the Automatic Grading of MOOC Learners from Their Contributions in the Discussion Forum

Re-Defining, Analyzing and Predicting Persistence Using Student Events in Online Learning

Collaborators (7)

Maren Scheffel

Yi-Shan Tsai

Hendrik Drachsler

Dragan Gasevic

Carlos Delgado Kloos

EDUARDO CORRAL

Pedro Muñoz-Merino

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