Learning Analytics
Course code
IFI7210.DT
old course code
Course title in Estonian
Õpianalüütika
Course title in English
Learning Analytics
ECTS credits
4.0
Assessment form
assessment
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
The course aims to introduce 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, analysing, and interpreting educational data.
and research trends. The course enhances students’ knowledge and competences in planning and
designing systems with learning analytics, asking research questions, collecting, analysing, and interpreting educational data.
Brief description of the course
The course provides 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, to different methods of collecting, analysing, and visualising learner data.
practical exercises, to different methods of collecting, analysing, and visualising learner data.
Learning outcomes in the course
Upon completing the course the student:
- is aware of the importance of grounding learning analytics in theory and can use this knowledge to plan effective learning analytics tools;
- appreciates stakeholder perspectives and input and can convert these into relevant questions and feedback loops;
- analyses, interprets, and visualises simple learning analytics datasets.
- is aware of the importance of grounding learning analytics in theory and can use this knowledge to plan effective learning analytics tools;
- appreciates stakeholder perspectives and input and can convert these into relevant questions and feedback loops;
- analyses, interprets, and visualises simple learning analytics datasets.
Teacher
Kairit Tammets
Additional information
Study programmes containing that course
Digital Learning Games (DTLGM/23.DT)
Digital Learning Games (DTLGM/22.DT)
Teacher of Computer Science (IFIOM/21.DT)
Digital Learning Games (DTLGM/21.DT)
Educational Technology (IFHTM/21.DT)
Digital Learning Games (DTLGM/20.DT)
Teacher of Computer Science (IFIOM/20.DT)
Educational Technology (IFHTM/20.DT)
Teacher of Computer Science (IFIOM/19.DT)
Educational Technology (IFHTM/19.DT)
Educational Technology (IFHTM/18.DT)
Educational Technology (IFHTM/17.DT)
Educational Technology (IFHTM/16.DT)
Digital Learning Games (DTLGM/22.DT)
Teacher of Computer Science (IFIOM/21.DT)
Digital Learning Games (DTLGM/21.DT)
Educational Technology (IFHTM/21.DT)
Digital Learning Games (DTLGM/20.DT)
Teacher of Computer Science (IFIOM/20.DT)
Educational Technology (IFHTM/20.DT)
Teacher of Computer Science (IFIOM/19.DT)
Educational Technology (IFHTM/19.DT)
Educational Technology (IFHTM/18.DT)
Educational Technology (IFHTM/17.DT)
Educational Technology (IFHTM/16.DT)