Utilization of learning analytics in the various educational levels and contexts for supporting self-regulated learning (OAHOT)

Project Details

Description (abstract)

The aim of the research project is to identify through learning analytics, the key elements of learning processes that support the development of high quality learning and development of know-how. This 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.
Short titleUtilization of learning analytics for supporting self-regulated learning
AcronymOAHOT
StatusActive
Effective start/end date01/01/202030/11/2022

Fields of Science

  • 516 Educational sciences
  • 113 Computer and information sciences
  • EAPRIL Best Research and Development Project Award 2018

    Sointu, E. (Recipient), Hirsto, Laura (Recipient), Kankaanpää, J. (Recipient), Saarelainen, M. (Recipient), Heikkinen, L. (Recipient), Kaasinen, A. (Recipient), Valtonen, T. (Recipient), Manninen, J. (Recipient), Atjonen, P. (Recipient), Ronkainen, A. (Recipient) & Pekkarinen, V. (Recipient), 14 Nov 2018

    Prize: Prizes and awards