|Study location||Finland, Joensuu|
|Nominal duration||8-19 August 2022 (5 ECTS)|
|Tuition fee||€500 per programme
There is no course fee for the degree students of UEF! Please check the reduced prices below.
Undergraduate/Bachelor diploma (or higher)
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
The language level of the applicant must be at least B1 according to the European Language Level standard. You can do self assessment here: europass.cedefop.europa.eu/en/resources/european-language-levels-cefr
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 recommended 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.
The maximum number of participants is 30.
PARTICIPANT FEES IN 2022
-Participant, normal fee: 500 euros for 2-week-course, 300 euros for 1-week-course.
-Participant from a UEF partner university: 400 euros for 2-week-course, 250 euros for 1-week-course.
-Incoming UEF exchange student: 200 euros for 2-week-course, 200 euros for 1-week-course.
-Participant from company/organization: 1000 euros for 2-week-course, 1000 euros for 1-week-course.
NB! UEF partner universities include our international exchange programme partners (like Erasmus+, bilateral agreements etc.) and international network partners (like YUFE, YERUN, UArctic etc.).