Joensuu, Finland

Learning Analytics

when 8 August 2022 - 19 August 2022
language English
duration 2 weeks
credits 5 EC
fee EUR 500

Learning analytics (LA) refers to the “measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”. The field built on the developments and success of other domains and disciplines and the rapid growth of data and analytics methods. LA has achieved significant advances in multiple areas: student recommender systems, learning dashboards, adaptive feedback, early warning systems and personalized support for students. This Learning Analytics (LA) Course will provide a framework for the understanding of the field of LA and how data has been used in education. The course will address the taxonomy of learning analytics and related terms such as educational data mining and academic analytics. The course will also discuss the theoretical background behind learning analytics and the concepts of the big data paradigm shift. The learning analytics main steps and procedures will be discussed in detail, including data gathering, analysis and generation of insights. The main ethical and privacy issues will also be covered.

The practical aspect of the course will enable the students to practice the basics of visualization and analysis of educational data. More importantly, the participants will practice data analysis using popular techniques e.g., social network analysis, sequence mining, process mining, predictive analytics, and visualization.

Course leader

Ilkka Jormanainen, ilkka.jormanainen(at)uef.fi

Target group

Master, Doctoral

Course aim

This Learning Analytics (LA) Course will provide a framework for the understanding of the field of LA and how data is used in education. The course will address the taxonomy of learning analytics and related terms such as educational data mining and academic analytics. The course will also discuss the theoretical background behind learning analytics and the concepts of big data paradigm shift. The learning analytics main steps and procedures will be discussed in details, including data gathering, analysis and generation of insights. The main ethical and privacy issues will also be discussed.

Credits info

5 EC
ECTS. 1 week + additional pre/post-assignments

Fee info

EUR 500: Course fee. There is a discount of 20 % for the UEF partner university students.
EUR 200: Course fee for exchange students starting in autumn 2022.

Scholarships

Not available.