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

  • Hirsto, Laura (Project manager)

Project: Research project

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
StatusFinished
Effective start/end date01/01/202030/11/2022

Fields of Science

  • 516 Educational sciences
  • 113 Computer and information sciences
  • A systematic narrative review of learning analytics research in K-12 and schools

    Hirsto, L., Saqr, M., López-Pernas, S. & Valtonen, T., 2023, FLAIEC 2022 : Finnish Learning Analytics and Artificial Intelligence in Education Conference 2022. Proceedings of the 1st Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC 2022). Hirsto, L., López-Pernas, S., Saqr, M., Sointu, E., Valtonen, T. & Väisänen, S. (eds.). CEUR Workshop Proceedings, Vol. 3383. p. 60-67 8 p. 9536. (CEUR workshop proceedings, CEUR-WS.org).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
  • Bridging Education Learning Analytics and AI: Challenges of the Present and Thoughts for the Future

    Hirsto, L., López-Pernas, S., Saqr, M., Sointu, E., Valtonen, T. & Väisänen, S., 2023, In: CEUR Workshop Proceedings. 3383, p. 1-6 6 p.

    Research output: Contribution to journalEditorialScientificpeer-review

    Open Access
  • Early detection ofdropout factors in vocational education: A large-scale case study from Finland

    López-Pernas, S., Kleimola, R., Väisänen, S. & Hirsto, L., 2023, FLAIEC 2022 : Finnish Learning Analytics and Artificial Intelligence in Education Conference 2022. Proceedings of the 1st Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC 2022). Hirsto, L., López-Pernas, S., Saqr, M., Sointu, E., Valtonen, T. & Väisänen, S. (eds.). 3383 ed. CEUR Workshop Proceedings, p. 44-50 7 p. 8117. (CEUR Workshop Proceedings, CEUR-WS.org; vol. 3383).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
  • EAPRIL Best Research and Development Project Award 2018

    Sointu, E. (Recipient), Hirsto, L. (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