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Basics of measuring wellbeing (5 cr)

Code: WM00EJ65-3003

General information


Enrollment

07.11.2022 - 18.11.2022

Timing

09.01.2023 - 31.05.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Department of Business

Campus

Ecampus

Teaching languages

  • English

Seats

0 - 40

Degree programmes

  • Degree Programme in Wellbeing Management

Teachers

  • Lauri Kolomainen

Teacher in charge

Lauri Kolomainen

Groups

  • WMMI22SP
    Wellbeing Management, full-time studies

Objective

You understand why and in what type of situations wellbeing data is collected.
You are able to identify various wellbeing measuring methods.
You can assess the suitability of different methods for different purposes and target groups.

Content

What is wellbeing data?
How has the collection of wellbeing data changed and what are the future perspectives (self- monitoring, MyData principle)?
What different methods can be used for measuring (measuring behavior vs. measuring results)?
What are the strengths and weaknesses of different methods in various purposes?

Opiskelumateriaali

1. Online Lecture-material
2. Collection of articles, will be available in week 2.

Yksilölliset oppimisväylät

When you register for this course, you participate in the teaching and guidance according to the work schedule. Your studies are rhythmic according to the Online lectures and the learning tasks.

Possible other methods of execution: contact via email lauri.kolomainen@xamk.fi

TKI ja työelämäyhteistyö

Examples of different commercial measurement arrangements are used.
The course development task is focused on customer based service.

Tentit ja muut määräajat

1. Summary of the collection of articles. Return 14.3.2023
2. Measurement development task. The deadline for returns 21.3.2023

Opiskelijan työmäärä

5 CREDITS (135 HOURS) Online lectures 10h

Further information

Course start 11.01.2023 8:30 - 11:30. We go through the practical arrangements.

Assessment methods and criteria

The evaluation:

1. Online lectures and a summary of the article material = 40%
2. Development task = 60%