COURSE UNIT TITLE

: SIMULATION IN NURSING EDUCATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
HEH 5013 SIMULATION IN NURSING EDUCATION ELECTIVE 2 0 0 6

Offered By

Fundamentals of Nursing

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR GÜLŞAH GÜROL ARSLAN

Offered to

Fundamentals of Nursing

Course Objective

This course is of great importance for the simulation based applications, which are accepted more and more every day, as a scientific field that can meet the special and specific needs of education and assessment in the field of nursing.
In this course, students will be able to define the properties of simulation techniques in the context of hardware, software and education, and develop vocational or inter-professional education programs that prioritize patient safety using different simulation techniques. In this area, within the framework of ethical principles, the psychomotor skill development theories and models will acquire the ethical principles and care and knowledge and skills.

Learning Outcomes of the Course Unit

1   1. To be able to define simulation concepts
2   2. To know the theories and approaches that form the basis of simulation-based training
3   3. To be able to evaluate simulation methods
4   4. To explain the stages of simulation
5   5. To be able to apply simulation in nursing
6   6. To be able to explain learning theories in simulation-based education
7   7. To be able to comprehend ethical rules that must be followed in simulation application and reporting

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 History of simulation, simulation concepts Associate Prof. Gülşah Gürol Arslan
2 Theories and approaches that form the basis of simulation-based training Assoc. Prof. Dilek Özden
3 Standardized patient, Computerized and web-based simulators Associate Prof. Gülşah Gürol Arslan
4 Model-based simulators, Virtual reality, haptic simulators and virtual environment Assoc. Prof. Dilek Özden
5 Preparation for simulation Associate Prof. Gülşah Gürol Arslan
6 Analysis concept and theoretical foundations Analysis models Good analysis practices Assoc. Prof. Dilek Özden
7 Reflection Creating a feedback analysis environment Setting the resolution time Associate Prof. Gülşah Gürol Arslan
8 The role of educator and student in analysis Assoc. Prof. Dilek Özden
9 Evaluation with simulation method Associate Prof. Gülşah Gürol Arslan
10 Risk management in simulation, patient safety Assoc. Prof. Dilek Özden
11 Scenario development Associate Prof. Gülşah Gürol Arslan
12 Research methods used in simulation applications Assoc. Prof. Dilek Özden
13 Simulation practices in the context of basic ethical principles Associate Prof. Gülşah Gürol Arslan
14 Ethical evaluation of the benefits of simulation-based research Assoc. Prof. Dilek Özden
15 Homework Presentations Associate Prof. Gülşah Gürol Arslan

Recomended or Required Reading

1. Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim (Eds.). The Comprehensive Textbook of Healthcare Simulation. New York: Springer Science+Business Media, 2013.
2. Harry Owen. Simulation in Healthcare Education. Switzerland: Springer International Publishing, 2016.
3. Beth Ulrich, Beth Mancini. Mastering Simulation A Handbook for Success. USA: Sigma Theta Tau International, 2014.
4. Grant, V. J., & Cheng, A. (Eds.). (2016). Comprehensive healthcare simulation: pediatrics. Switzerland: Springer.
5. Forrest, K., McKimm, J., & Edgar, S. (2013). Essential simulation in clinical education. John Wiley & Sons.
6. Nestel, D., Jolly, B., Kelly, M., & Watson, M. (Eds.). (2017). Healthcare Simulation Education: Evidence, Theory and Practice. John Wiley & Sons.
7. Ulrich, B., & Mancini, M. E. B. (2013). Mastering Simulation, 2014 AJN Award Recipient: A Handbook for Success. Sigma Theta Tau.
8. Levine, A. I., DeMaria Jr, S., Schwartz, A. D., & Sim, A. J. (Eds.). (2013). The comprehensive textbook of healthcare simulation. Springer Science & Business Media.
9. Sokolowski JA, Banks CM (Editors). Modeling and Simulation in the Medical and Health Sciences. Wiley; 2011.
10. Ulrich B, Mancini ME (Editors). Mastering Simulation: A Handbook for Success. Sigma Theta Tau International; 2014. University Press; 2016.
11. Nestel D. Kelly M, Jolly B, Watson M (Editors). Healthcare Simulation Education: Evidence, Theory and Practice. Wiley Blackwell; 2018.
12. Kohn LT, Corrigan JM, Donaldson MS. To Err Is Human:: Building a Safer Health System: National Academies Press; 2000.
13. Morison S, Boohan M, Jenkins J, Moutray M. Facilitating undergraduate interprofessional learning in healthcare: comparing classroom and clinical learning for nursing and medical students. Learning in Health and Social Care. 2003;2(2):92-104.
14. Aston SJ, Rheault W, Arenson C, Tappert SK, Stoecker J, Orzoff J, et al. Interprofessional education: A review and analysis of programs from three academic health centers. Academic Medicine. 2012;87(7):949-55.

Planned Learning Activities and Teaching Methods

Learning and Teaching Strategies:
Presentation, discussion, questions and answers, brainstorming.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE
4 FCG FINAL COURSE GRADE ODV * 0.30 + PRJ * 0.20 + FN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ODV * 0.30 + PRJ * 0.20 + BUT* 0.50


Further Notes About Assessment Methods

In the assessment of the course, 30% of the homework, 20% laboratory and 50% of the final grade will be determined as the course success grade in determining the semester calculations.

Course Success Grade: 30% of the homework + 20% laboratory + 50% of the final grade

Assessment Criteria

Assessment Criteria:

Interpretation, recollection, decision making, description, classification, information combination skills shall be assessed in the exams.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Associate. Prof. Gülşah Gürol Arslan
02324124772
gulsah.arslan@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Labratory 13 2 26
Preparations before/after weekly lectures 13 4 52
Preparation for final exam 13 1 13
Lab Preparation 13 1 13
Preparing assignments 1 14 14
Final 1 2 2
Project Assignment 1 2 2
Practical exam 1 2 2
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.1555555555
LO.25555555555
LO.355555555
LO.4555555555
LO.5555555555
LO.655555555
LO.75555