Evidence-based Teaching and Learning Methods to Support Continuous Professional Development (5 cr)

Objective

• The student is able to critically assess and reflect own learning needs across the developing, teaching, research and clinical competence areas at an advanced practice level.
• The student is able to design, plan and facilitate evidence-based teaching and learning of individuals, and interprofessional teams.
• The student is able to apply and critically evaluate appropriate teaching, learning and assessment methods.
• The student is able to motivate individual learners and teams in clinical areas and in higher education.

Content

Assessment of learning needs
Evidence-based teaching and learning methods
Innovative methods to motivate learners
Fundamentals of simulation pedagogy

Location and time

The course commences in January 2025 -see OMA diary for course dates and times
Teaching practice in Myllypuro or nearby during week 10

Materials

Oermann, M. H. (2013). Teaching in Nursing and Role of the Educator: The Complete Guide to Best Practice in Teaching, Evaluation and Curriculum Development. Springer Publishing Company.

In addition, current literature in the field

Teaching methods

- Activating lectures in Zoom
- Independent study
- Groupwork
- Teaching practice
- Self- and peer-assessment

Employer connections

Teaching practice is compulsory part of the course (2 days during week 10)

Exam schedules

-

International connections

n/a

Completion alternatives

N/A

Student workload

1 credit corresponds to 27 hours of student work

Further information

Course includes teaching practice (in Finnish or English)

Artificial intelligence can be utilized for brainstorming in written assignments, but it should not be used as a substitute for independent thinking and writing. Editing the language and style of self-produced text is permitted, but generating entire texts using AI is not allowed. If you use AI, its use must be transparently disclosed. Failure to disclose the use of AI will be considered misconduct. When using AI, please familiarize yourself with Metropolia's guidelines https://opiskelija.oma.metropolia.fi/delegate/desktop_web_content_attachment/attachment/9923680 for AI usage and take responsibility for adhering to these guidelines.

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

The student demonstrates competence in the basic content of the course, but there are deficiencies in his/her ability to find and interpret information and to apply the learned content to the context of working life.

Assessment criteria, good (3)

The student demonstrates good competence in the content of the course. He/she is able to actively search for information and to identify its connection to working life. The student is able to analyse and apply the learned content to the context of working life.

Assessment criteria, excellent (5)

The student demonstrates versatile and extensive competence in the content of the course. He/she has an excellent ability to search for relevant information. The student’s solutions demonstrate independence, responsibility, and skills in guiding others. His/her ability to apply the learned content to the context of working life exhibits creativity and versatility.

Assessment criteria, approved/failed

Fail:
The student does not demonstrate competence in the basic content of the course, and/or there are deficiencies in his/her ability to find and interpret information and to apply the learned content to the context of working life.

Assessment methods and criteria

Self -and peer-assessment
Pass/Fail