Basics of measuring wellbeingLaajuus (5 cr)
Code: WM00EJ65
Credits
5 op
Teaching language
- Finnish
- English
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?
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 31.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
0 - 70
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Lauri Kolomainen
Teacher in charge
Lauri Kolomainen
Groups
-
HJMI23SMWellbeing Management, fulltime 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?
Materials
1. Online Lecture-material
2. Collection of articles, will be available in week 2.
Teaching methods
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
Employer connections
Examples of different commercial measurement arrangements are used.
The course development task is focused on customer based service.
Student workload
5 credits (135h)
Further information
We go through the practical arrangements on the first online-meeting
More info: lauri.kolomainen@xamk.fi
Evaluation scale
1-5
Assessment methods and criteria
Numeral (0-5)
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
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Lauri Kolomainen
Teacher in charge
Lauri Kolomainen
Groups
-
WMMI22SPWellbeing 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?
Materials
1. Online Lecture-material
2. Collection of articles, will be available in week 2.
Teaching methods
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
Employer connections
Examples of different commercial measurement arrangements are used.
The course development task is focused on customer based service.
Exam schedules
1. Summary of the collection of articles. Return 14.3.2023
2. Measurement development task. The deadline for returns 21.3.2023
Student workload
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%
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
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Lauri Kolomainen
Teacher in charge
Lauri Kolomainen
Groups
-
HJMI22SPWellbeing Management, fulltime 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?
Evaluation scale
1-5
Enrollment
08.11.2021 - 21.11.2021
Timing
10.01.2022 - 31.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Campus
Ecampus
Teaching languages
- English
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Perttu Noponen
- Haija Muhonen
Teacher in charge
Haija Muhonen
Groups
-
WMMI21SPWellbeing 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?
Materials
All the necessary study material can be found in the online learning environment at the beginning of the course.
Exam schedules
The course is assessed on the basis of a written assignment prepared during the course. The return of the assignment is agreed at the beginning of the course. The task is assessed numerically (Assessment scale 0-5).
Student workload
The scope of the course is 5 cr or 135h.
Content scheduling
The course has lecture recordings that can be viewed at a time that suits you.
In addition, the course has workshops, the schedule of which is marked in the syllabus and participation in which is voluntary. Workshops provide an opportunity to ask questions, receive guidance, work on and present small group / independently assembled tasks.
Further information
The teachers of the course are Haija Muhonen
Evaluation scale
1-5
Assessment methods and criteria
Students can
d. use professional vocabulary systematically.
e. look for information in the key information sources of the field.
f. identify interrelated tasks.
g. justify their actions according to the ethical principles of the professional field.
Assessment criteria equals to grade 3.