H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education

Delgado Kloos, Carlos; Dimitriadis, Yannis; Hernández Leo, Davinia; Alario-Hoyos, Carlos; Martínez-Monés, Alejandra; Santos Rodríguez, Patrícia; Muñoz-Merino, Pedro J.; Asensio-Pérez, Juan I.; Vicent Safont, Lluís

doi:http://dx.doi.org/10.1109/EDUCON52537.2022.9766770

H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education

Citation

Delgado Kloos C, Dimitriadis Y, Hernández-Leo D, Alario-Hoyos C, Martínez-Monés A, Santos P, Muñoz-Merino PJ, Asensio-Pérez JI, Vicent Safont L. H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education. In: Jemni M, Kallel I, Akkari A, editors. Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON); 2022 Mar 28-31; Tunis, Tunisia. [Piscataway]: IEEE; 2022. p. 94-101. DOI: 10.1109/EDUCON52537.2022.9766770

Abstract

This paper presents the H2O Learn (Hybrid and Human-Oriented Learning) project, a coordinated research project funded by the Spanish Research Agency, which just started in 2021 and will last for three years. The main goal of the H2O Learn project is to build Trustworthy and Human-Centered Learning Analytics (TaHCLA) solutions to support human stakeholders when designing, orchestrating and (self-,socially- or co-) regulating learning in Hybrid Learning (HL). The contributions of H2O Learn consider key requirements for trustworthy Artificial Intelligence (AI), as defined by the European Commission: 1) fostering human (i.e., teachers, learners…) agency; 2) enabling transparency of the Learning Analytics (LA) systems; 3) seeking socio-emotional and inclusive wellbeing; and 4) promoting accountability by enabling the assessment of algorithms and design processes.