Utilization of learning analytics data to support self-regulated learning during various phases of study paths - OAHOT
OAHOT research project examines the development of learners' skills, the learning process, learning outcomes and the key elements in the pathway in multiple learning contexts through multiple case-studies, utilizing the same learning analytics tools. As a result of the project, a model is constructed for an effective learning process in flexible learning environments optimized for the learner's learning process and self-regulation, with the help of dense data provided by learning theories, self-regulation processes and learning analytics. Webpages of the project: https://sites.uef.fi/oahot/
Group members - UEF
Laura Hirsto Professor , Philosophical Faculty, School of Applied Educational Science and Teacher Education
Erkko Sointu Assistant Professor , School of Educational Sciences and Psychology, Special Education
Matti Turtiainen Research Director , Faculty of Social Sciences and Business Studies, Law School
Teemu Valtonen Professor , Philosophical Faculty, School of Applied Educational Science and Teacher Education
Sanna Väisänen Postdoctoral Researcher , Philosophical Faculty, School of Applied Educational Science and Teache...