Develoment and Management of Digital Competencies (5 ECTS)
Code: S000FF73-3002
General information
- Enrollment
-
05.05.2025 - 18.05.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
29.09.2025 - 09.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Rehabilitation and Examination
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 40
- Degree programmes
- Master's Degree Programme in Clinical Expertise in Digital Health Care and Social Services
- Teachers
- Marjo Wallin
- Outi Pyrhönen
- Teacher in charge
- Marjo Wallin
- Groups
-
S3124S6Kliinisen asiantuntijuuden tutkinto-ohjelma, digitaalisten palvelujen asiantuntija sosiaali- ja terveysalalla, ylempi
- Course
- S000FF73
Implementation has 6 reservations. Total duration of reservations is 18 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 30.09.2025 time 09:00 - 12:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Tue 30.09.2025 time 13:00 - 16:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Tue 28.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Tue 28.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Thu 30.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Tue 09.12.2025 time 13:00 - 16:00 (3 h 0 min) |
Digikyvykkyyksien kehittäminen ja osaamisen johtaminen S000FF73-3002 |
ZOOM
|
Objective
The purpose of the course is to strengthen the student’s competence in identifying, developing, evaluating and managing digital competencies in work communities.
The student is able to evaluate the digital competencies of a work community and the development needs related to them. The student is able to plan, implement and assess training, teaching and induction related to their work. They know how to use various digital methods as part of their work as an expert and to manage the development of digital competencies.
Content
- Staff know-how and digital competencies
- Learning theories and starting points for training
- Basics of learning design
- Innovative and impactful teaching methods in expert work
- Planning, implementation and assessment of training
Location and time
30.9.2025 at 9-12 am orientation to the course, preliminary assignment discussion, introductory lecture
30.9.2025 at 1-4 pm lecture on management of digital skills
28.10.2025 at 9-12 am lecture on theories in learning ja training digital skills
28.10.2025 at 1-4 pm lecture on basics of learning design
30.10.2025 at 9-12 am small group work, tutoring clinic 11-12
9.12.2025 at 9-12 am - group work wrap-up, Fish bowl dicussions
Materials
All course materials and literature in lecture materials, which will be found in the Moodle after each lecture. The Moodle opens 2 weeks before the start of the course. Preliminary assignment in Moodle (due 29.9.2025 by 8 am).
Course key: Please look in the workspace
Teaching methods
The course is delivered online and includes an independent assignment and a personal development plan. Students will work in groups to develop a training plan for a fictional workplace, which they will present to other students in a webinar. During the presentation, all group members must be present online. A written report on the group work will also be produced.
The web presentations of the course will be recorded, and after the recordings, the learning will be deepened through work- related small group discussions in a multi-professional setting.
Employer connections
Assignments are work-related and linked to the current times.
Exam schedules
No exams.
International connections
No international connections.
Completion alternatives
No optional arrangements.
Student workload
27 h = 1 op.
135 h= 5 op.
TOTAL 135 h of student work.
Incl. Collaborative webinar work and independent study in Moodle and group work at the time allocated for small group work and, freely at a time agreed with the group.
Content scheduling
-
Further information
During the first lecture, you will be oriented to the course and the assignments to be carried out, and you will be assigned to a group of students to work in groups. You confirm your participation in the course by attending the first meeting.
If you have to be absent from the first lecture, please inform the course tutors in advance so that you can be assigned to a group and receive instructions on how to complete the course.
The assignments and MATERIALS prepared by the teacher are works of authorship under the Copyright Act (404/61), to which the teacher holds the copyright. The assignments AND MATERIALS may not be used for any purpose other than your own studies. Their public distribution is only allowed with the permission of the teacher.
Students can use artificial intelligence, sparring ideas or a writing style to produce course outputs. AI cannot be used as a source of content. The use of AI must be clearly stated in the assignment. Failure to disclose the use of AI will be interpreted as fraud.
AHOT (Recognition of prior learning)
This course can be accepted partially or totally if the student has played a key role in educational projects in the field of health and social services in the development of digital competences and/or has a Master's degree level of studies corresponding to the content of this course.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student demonstrates that they understand the basic content of the course but there are shortcomings in their ability to independently acquire and interpret information and apply what they have learned.
Assessment criteria, good (3)
The student demonstrates that they have a good understanding of the content of the course. They actively acquire information and interpret the key connections between different pieces of information. The student has the ability to analyse what they have learned and to apply it in practice.
Assessment criteria, excellent (5)
The student demonstrates that they have a diverse and broad understanding of the content of the course. They possess excellent information acquisition skills that are suited to the purpose at hand. The student demonstrates independence and responsibility in the choices they make. They have a creative and broad-based ability to apply what they have learned in practice.
Assessment criteria, approved/failed
Approved: The student demonstrates that they understand the basic content of the course but there are shortcomings in their ability to independently acquire and interpret information and apply what they have learned in practice.
Assessment methods and criteria
1. Independently completed preliminary assignment (pass - fail)
2. Active participation in joint work (pass - fail)
3. Assignment to be assessed: group work to analyse the training needs of the staff and draw up a concrete training plan (report). Group work to be presented at the last meeting (PPT presentation) (Assessment scale 0-5.)
4. Independent assignment: Updating a development plan (max. 2 pages) (pass - fail)
All the activities that form the basis of the assessment must be passed in order to complete the course.
Further information
RPL (Recognition of Prior Learning)
The course can be accredited with prior Master’s degree level studies the contents of which correspond to the contents of this course, or with strong competence with similar content obtained in other ways.
Further information
RPL (Recognition of Prior Learning)
The course can be accredited with prior Master’s degree level studies the contents of which correspond to the contents of this course, or with strong competence with similar content obtained in other ways.