TKO_3115 Learning Analytics 5 op

Learning outcomes

The student knows how to appropriately analyze educational data and how to report results in the area of educational research. The student knows how to utilize quantitative and qualitative research methods for data analysis.

Contents

The students are provided access to selected anonymized data collected automatically by ViLLE learning environment. Methods for analyzing big data in learning sciences are provided, as well as comprehensive view on reporting results in IT education research. Students perform data analysis and write a research report on the topics selected by themselves or in small groups. Best reports can be adapted to scientific publications in co-operation with the course staff.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English

Lectures, assignments, research report.

Evaluation

Numeric 0-5.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet