Analytics AI joins seven Finnish Universities:
Learning analytics is one of our university's multidisciplinary research areas. With the help of learning analytics, we study, for example, students' individual study paths. In the Analytics AI project, we utilise educational psychology research on learning, good practices in studying and the need for support with the university studies' bottlenecks in order to develop smoother university study pathways, guidance and educational leadership development. Several research units from the Faculty of Information and Electrical Engineering of the University of Oulu are involved in the design and implementation of the project pilots. They bring expertise on statistical analysis of data, pattern recognition, machine learning, artificial intelligence, data enrichment and implementation of the above systems. The University of Oulu is also responsible for the coordination of the project.
The utilization of data is one of the main goals of Aalto's digital road map. In Aalto, the Analytics AI project is implemented by Learning Services and Management Information Services and seamlessly overlaps with the Digital Aalto development agenda. Learning Analytics is one of the University's research areas.
In this project, Aalto participates in the description of existing solutions and data sources, the development of indicators and tools for university management, the development of practices related to the utilization of analytical data, and the resolution of data protection issues. Aalto is responsible for coordinating the implementation of the third work package of the project. The work package includes user-oriented experiments serving teaching and learning, developing an operational culture and producing educational materials and publications.
With the support of the Analytics AI project, we improve the monitoring of learning and the learning processes by using learning analytics tools. We will be involved in the development of the whole project, but in particular, we will address the legal issues of learning analytics in the project, such as registry and information law. The study takes into account the perspective of both students and staff. In addition, we piloted the use of learning analytics, especially as part of the Recognition of Prior Learning (RPL) processes.
In this project, LUT participates with the development of an operational culture by developing a system of independent definitions for common Enterprise Resource Planning-relevant information content, as well as with a prediction model based on students' Personal Study Plans (PSPs).
The University of Lapland is involved in a small part of the project and contributes to the collection of data from learning analytics. A special task of the University of Lapland is to increase the availability of data services through service design.
We participate in all work packages and coordinate an application development package that builds user-oriented tools to support study planning, guidance and management. We develop easy-to-integrate web components including supporting guidance and learning processes and personalized dynamic learning paths using machine learning and data mining techniques.
The Center for Learning Analytics at the University of Turku and the nationwide e-learning module on Business Competence coordinated by the Turku School of Economics and Business Administration are pilots of the project. Within these frameworks, the tools and operating models produced by the project are piloted and, in turn, they provide other stakeholders in the project with information and services on learning analytics from different perspectives.
APOA Project http://apoa.tamk.fi/
CompLeap Project https://www.compleap.eu
DigiCampus Project https://digicampus.fi/digicampus/?lang=en