Learning analytics webinars coming soon!

During 2020, the AnalyticsAI project will implement three webinars on learning analytics. The purpose of the webinars is to share the results of the project with a wider audience and to bring out different perspectives related to learning analytics. The webinars will be held in Zoom, and you can find the registration links below. Come along to listen and discuss!

Registration for webinars:

More information about the webinars:

Privacy Policy, Risk Assessment and Impact Assessment

Tommi Haapaniemi (UEF), Meri Sariola (UEF), Jiri Lallimo (Aalto), Viivi Väisänen (UH)

As part of AnalyticAI work on the legal aspects of learning analytics, Viivi Väisänen's presentation deals with data protection principles and impact assessment through Aalto University's case study. The presentation shows the main conclusions of the case study and, as a concrete example, an impact assessment of the Moodle drop-out rate. The case study has also served the work on the AnalyticsAI policy design.

Under the leadership of the University of Eastern Finland, a simplified risk assessment model for the processing of personal data has been developed in the project, which can be applied to different use cases of learning analytics. The presentation introduces the risk assessment model and the key risks and perspectives on the implementation of learning analytics that need to be considered on the basis of the Data Protection Regulation.

AnalyticsAI app, Student Dashboard

Heikki Hyyrö ja Sami-Santeri Svensk (TU)

Under the leadership of the University of Tampere, the project has developed an application that utilizes learning analytics for the use of students, instructors and those responsible for education. The presentation concretely addresses the key elements of the application and in particular how the application can support students with the smooth progression of their studies.

Study path as a service path - Perspectives on analytics

Titta Jylkäs ja Essi Kuure (ULapland)

What development opportunities can we identify when we look at a student’s study path as a service path? The presentation opens up a people-oriented approach to learning analytics through the basics and methods of service design. Through the identification of the student's service path, the benefits of learning analytics can be targetted to studies in a timely manner and thus provide the student with concrete benefits for the promotion of studies. Through service design and learning analytics, we can outline the study path as a whole and offer students the value of a targeted service.