Miguel A. Redondo

Miguel A. Redondo is a Full Professor at the Department of Tecnologías y Sistemas de Información, University of Castilla-La Mancha (Spain), since 2019. He holds a PhD in Computer Science and Engineering from the same university (awarded in 2002).

• Research Focus: eLearning, Human-Computer Interaction (HCI), Software Engineering, and eye-tracking assessment.
• Affiliation: Universidad de Castilla-La Mancha, Campus de Ciudad Real, Spain.

His academic career centers on designing model-driven and AI-powered tools to enhance programming education. Key contributions include the GreedEx Tab system for algorithm learning and the COLLECE 2.0 collaborative programming environment. He has pioneered the integration of genetic algorithms for optimizing group learning dynamics and developed immersive systems for algorithmic thinking through augmented/virtual reality. His work spans educational technology, collaborative software, and adaptive learning frameworks.

Recent publications emphasize m-learning usability (2024), machine learning in healthcare (2023), and personality-driven group organization (2021). He frequently collaborates with researchers like Ana I. Molina and Yoel Arroyo on topics such as educational data mining and visual modeling languages.

While no formal student list or awards are provided in the source text, his leadership in model-driven development for CSCL tools has been cited in numerous works across IEEE, ACM, and Springer venues.