Isabel Guitart Hormigo

Integrating business intelligence and learning analytics systems to create global analytical information systems for universities

This research line considers and combines learning analytics and business intelligence systems to create institutional and transversal analytical information systems for universities. The purpose is to demonstrate that developing analytical information systems in universities is a grand challenge for information systems research, showing the benefits of doing so by integrating both approaches and developing analytical information systems for universities that use that global approach.

ICT education through formative assessment, learning analytics and gamification

The main goal of this research line is to design and build a set of e-learning tools and services to provide support to the learning process in university degrees in the field of ICT. The expected benefits will have a repercussion on the students (improvement of the educational experience, greater participation and performance, lower drop-out rate) and on the lecturers, managers and academic coordinators (resources for monitoring a course, making decisions and predictions).

Multimodal emotion-awareness e-learning tools

This research line aims to enhance existing e-learning platforms by developing tools and services which support the detection and representation of learners’ emotions, as well as emotion-based learning adaptation and affective feedback. To this end, the research will apply novel emotion detection models to rich multimodal data collected using state of the art channels, advanced sensors and novel adaptive interfaces. The research results will demonstrate a positive impact of emotion-aware e-learning on decreasing learner drop-out rates, increasing satisfaction and improving learning performance, thus making learning as a whole a better experience.