Stay Well - Social Wellbeing and Mental Health (5 ECTS)

Learning outcomes

The student
- becomes aware of the impact of the family background on well-being and mental health
- understands the impact of social relationships and the acceptance of difference on well-being
- is able to identify possibilities to promote participation and equality from the perspective of their professional field
- understands the principles of emotional skills
- knows how to maintain practices supporting and promoting mental well-being
- understands the process of compassion fatigue and secondary traumatisation and is able to identify ways to protect themselves from them
- is able to identify traumatic crisis situations, individual reactions to them and protective factors against crisis
- is aware of the service system related to mental health and well-being in the Finnish social and healthcare system

Content

The impact of family, community and society on mental and social wellbeing
Socialisation, social capital and participation
Promoting equality and acceptance of diversity
Protective social networks
Personal strengths and psychological resiliences
Emotional skills
Compassion fatigue and secondary traumatisation
Protection against compassion fatigue and secondary traumatisation
Crisis recognition and management skills
Promoting social wel-being and mental health in the social and health care system

Teaching methods

Independent Online Study in Moodle:
Interactive Lectures
Learning Assignments
Online Discussions
Learning Journal

Location and time

Studying on the Moodle Platform

Learning materials and recommended literature

The learning materials and recommended literature are listed in Moodle.
The learning materials are available electronically.

Student workload

5 ECTS= 135 hours of student work

Content scheduling

The course consists of six modules, which the student completes over six weeks. Progressing to the next module requires the completion of the previous one, so students must submit their learning assignments weekly. Finally, the student compiles a learning journal, which is submitted at the end of the course.

Further information for students

Use of Artificial Intelligence (AI):

Students may use artificial intelligence in the course assignments, but they must clearly indicate its use. The course exam must be completed without the assistance of AI. During the exam, students are required to use only their own knowledge, understanding, and skills. The use of AI during the exam or failure to disclose its use in assignments will be treated as a suspected case of academic dishonesty, in accordance with Metropolia's guidelines for handling disciplinary matters.

Assessment methods and criteria

Weekly learning assignments in Moodle (pass/fail)
Learning journal (pass/fail)

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

Students can:
- show their familiarization with the knowledge base of the field
- distinguish everyday knowledge from scientific knowledge
- use the concepts of the field appropriately
- evaluate their strengths and development needs
- show they have reached the goals set for the core competence

Assessment criteria, good (3)

Students can:
search for evidence-based knowledge diversely
use concepts of the field extensively
use rational justification for their actions
focus on their work and develop it

Assessment criteria, excellent (5)

Students can:
- use and evaluate evidence-based knowledge critically
- apply the concepts of their field extensively
- evaluate and apply alternative solutions to their decision-making
- work in a goal-oriented way and develop themselves

Assessment criteria, approved/failed

Students can:
- show their familiarization with the knowledge base of the field
- distinguish everyday knowledge from scientific knowledge
- use the concepts of the field appropriately
- evaluate their strengths and development needs
- show they have reached the goals set for the core competence