Managing Good Practices in Multidisciplinary Assessment of Work and Functional Ability and Employment Support Methods (5 ECTS)

Objective

The student will be able to
- analyse effective methods and evidence-based practices of work and functional ability assessment and employment support methods
- use co-creation and service design methods in the design of multidisciplinary work ability assessment and employment support services
- promote multidisciplinary work ability and service needs assessment and the implementation of effective assessment methods and good practice
- develop client-oriented, targeted and effective multidisciplinary employment support services and lead employment support teams.

Content

- Concepts and theories of work ability, partial work ability and specific work ability
- Evidence-based assessment methods for work and functional capacity
- Individual assessment, documentation and utilisation of information on work and functional capacity
- Effective methods of employment support and their implementation (e.g. quality criteria-based employment coaching model, Individual Placement and Support IPS).

Location and time

Remote learning contact/lecture's time schedule:
- 30.10. at 9.00-12.15
- 31.10. at 9.00-12.15
- 11.12. at 13.00-16.00
- 12.12. at 9.00-12.15

Presence in teaching contacts is important.

Materials

- Course material is in the Moodle workspace
- Individual information search and literature utilization by learners during the course as needed

Teaching methods

This is online course which includes:
- Independent work
- Small group work


- Materials and assignments are in the course's Moodle workspace
- Teaching contacts take place remotely via Zoom, Zoom links are found in the Moodle workspace

Employer connections

- As needed/if necessary, network/working life cooperation as instructed in the course

Exam schedules

-

International connections

-

Completion alternatives

-

Student workload

The scope of the course is 5 credits, which means that the student's time usage is 135 hours per student.

Content scheduling

- Independent work
- Remote learning contacts/lectures
- Small group work (small group will schedule working independently within the course)

Further information

- The student confirms their place in the course by participating in the first teaching contact/lecture of the course.

- Please note that learning tasks must utilize sources that are appropriate and/or specified for the course objectives. Artificial intelligence can support one's own thinking, but learning tasks cannot be created with artificial intelligence. If a student utilizes artificial intelligence in completing a learning task, this must be clearly noted.

- The implementation of the learning task follows the course instructions and Metropolia's practices.

Evaluation scale

0-5

Assessment methods and criteria

Course learning assignment is the basis for course assessment:
- Individual part of the assignment will be assessed as passed/to be completed/failed (must be passed to complete the course)
- Small group section will be assessed by numerical assessment (0-5) 100%.
(- Also possible intermediate assignments must be passed to complete the course)

- Learning assignment instructions and assessment criteria are in Moodle, they will be reviewed in the first teaching contact of the course. Instructions for dividing into small groups in the first teaching contact.

- A learning assignment assessed as passed cannot be repeated