Learning Analytics
Course code
old course code
Course title in Estonian
Course title in English
Learning Analytics
ECTS credits
approximate amount of contact lessons
Teaching semester
Assessment form
lecturer of 2019/2020  Autumn semester
Kairit Tammets (eesti keel) e-toega kursus
lecturer of 2019/2020  Spring semester
lecturer not assigned
Course aims
The course aims at introducing the state of art in learning analytics concepts, application areas and research trends. The course enhances students’ knowledge and competences in planning and designing systems with learning analytics, asking research questions, collecting, analyzing and interpreting the data.
Brief description of the course
The course gives an overview of the recent trends in learning analytics research and applications in school, university, informal learning and workplace learning contexts. Students are introduced through practical exercises with different methods of collecting learning analytics, analyzing and visualizing data and interpreting the data visualizations.
Independent work
Individual work:
The individual practice works in seminars involves exercieses about data collection, visualization and interpretation tehcnologies in learning analytics. The groupwork in seminars is conducted to design the system idea with learning analytics feedback loop that allows to answer relevant research questions based on learning analytics.
Learning outcomes in the course
Analizes, visualizes and interprets simple learning analytics datasets.
Applies in planning the groupwork the concepts, processes and application areas from learning analytics.
Develops in groupwork the system idea with learning analytics feedback loop and formulating relevant research questions based on that idea
Assessment methods
For passing the course the student should participate in seminars and conduct the individual exercises and the groupwork to design a system idea with learning analytics feedback loop and formulating relevant research questions based on that idea.
Kairit Tammets
Study literature
Kursuse raamat: Lang, C., Siemens, G., Wise, A., Gaševitć, D. (2016). Handbook of learning analytics. Solar.
URL: https://solaresearch.org/wp-content/uploads/2017/05/hla17.pdf

Eestikeelne materjal õppejõu poolt loodud konspekt, mis asub kursuse blogis http://ifi7060.wordpress.com/
Additional information
Arvestuse saamise eelduseks on osalemine praktikumide rühmatöödes.
Kõik ülesanded peavad olema sooritatud kontaktpäeval praktikumides ning tagasivaatavalt reflekteeritakse õpitut oma blogis

Jooksev info kursuse korralduse kohta õpikeskkonnas
Replacement literature
Ainet pole võimalik läbida ainult asenduskirjanduse alusel.