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

Projektinformation

Beskrivning

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.
Kort titelUtilization of learning analytics for supporting self-regulated learning
AkronymOAHOT
StatusPågående
Gällande start-/slutdatum01/01/202031/05/2022

Vetenskapsgrenar

  • 516 Pedagogik
  • 113 Data- och informationsvetenskap
  • EAPRIL Best Research and Development Project Award 2018

    Erkko Sointu (!!Recipient), Hirsto, Laura (!!Recipient), Jenni Kankaanpää (!!Recipient), Markku Saarelainen (!!Recipient), Lasse Heikkinen (!!Recipient), Anna Kaasinen (!!Recipient), Teemu Valtonen (!!Recipient), Jyri Manninen (!!Recipient), Päivi Atjonen (!!Recipient), Antti Ronkainen (!!Recipient) & Virve Pekkarinen (!!Recipient), 14 nov 2018

    Pris: Pris och hedersbetygelser