making the implicit explicit: theories informing simulation-based … · 2017. 10. 18. ·...

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Making the implicit

explicit:

Theories informing

simulation-based education

October 18

Introduction: Debra Nestel

Theory #1: Gabriel Reedy

Theory #2: Peter Dieckmann

November 10

Theory #3: Nancy McNaughton

Theory #4: Walter Eppich

Theory #5: Ryan Brydges

#simtheory

Simulation education and…

Cognitive Load Theory

Installation Theory

November 10

Critical Theory

Cultural-Historical Activity Theory

Normative Theory

World views

World views

Positivism & post-positivism

World views

Positivism & post-positivism

Interpretivism

World views

Positivism & post-positivism

Interpretivism

Critical theory

Behavioural

Constructivist

Social

constructivist

Theories can be seen as frameworks of

ideas… are complex and contestable

Nestel D, Bearman M. Theory and simulation-based education: definitions,

worldviews and applications. Clinical Simulation in Nursing. 2015;11:349-54.

Theories are nets cast to catch

what

we call ‘the world’;

to rationalize, to explain

and to master it.

We endeavor to make the mesh

ever finer and finer.

Popper K. 1959, The Logic of Scientific Discovery, New York

Theories to illuminate

Bordage G. Conceptual frameworks to illuminate and magnify.

Medical Education. 2009;43:312-9.

Theories to magnify

Bordage G. Conceptual frameworks to illuminate and magnify.

Medical Education. 2009;43:312-9.

Theories as lenses

Bordage G. Conceptual frameworks to illuminate and magnify. Medical Education. 2009;43:312-9.

Theories as liquids

Not fixed in time, constantly changing, not fixed in space…

• Skills-based

Source: www.hellenic.simulations.com

January 14-16, 2016 IMSH 2016 - DISCOVER|SHARE|LEAD Source: Michelle Kelly

Source: Debra Nestel

October 18

Introduction: Debra Nestel

Theory #1: Gabriel Reedy

Theory #2: Peter Dieckmann

November 10

Theory #3: Nancy McNaughton

Theory #4: Walter Eppich

Theory #5: Ryan Brydges

#simtheory

Cognitive Load Theory

and Simulation Education

Gabriel Reedy PhD

King’s College London

Simulation and Interactive Learning Centre at

Guy’s and St Thomas’ NHS Foundation Trust

Information Processing Model

• How many items are you faced with?

• How are the items related to each other and to what you

already know?

• What rules (schemata) in your long-term memory can help you

process them?

Intrinsic Load

• How difficult is the task for the learner?– Contextual to task,

situation, learner

– What is the learner’s previous experience with this or similar tasks

– Cannot be lowered, as such – but it can be mitigated and must be considered

Extraneous Load

• Not inherent or necessary to complete a task

• Based on the design of the task or experience

• Adds to intrinsic load

• Can potentially overload working memory

Germane Load

• Sometimes the task is richly

difficult, but working through

it can help the learner

progress – it is germane to

the learning.

• Part of intrinsic load

• Helps to create schemata in

working memory to help

learner be successful in the

long term with other tasks

• Be judicious and thoughtful

Using Cognitive Load in Simulation

• Goal-free learning allows for more specific and appropriate learning

opportunities

– Learner-defined goals

– Safe to make mistakes

• Setting up the simulation tasks appropriately can make for a more

effective learning environment

– Set learners up for success – lower the extraneous cognitive load by

reminding participants of protocols and previous knowledge

– Use confederates judiciously to lower the extraneous cognitive load

• Start with simple tasks and move towards more complex ones

– Develop learners over time, lower intrinsic load by preparing learners

• Develop higher fidelity as learners progress

– Too much detail can overwhelm novice learners and is unnecessary

Peter DieckmannPhD, Dipl-Psych

Installation Theoryby Saadi Lahlou, LSE

Why do people do,

what they do?

Person(ality) Situation

Person(ality) Situation

Person(ality) Situation

Person(ality) Situation

Jung

Adler

Kelly

Lave & Wenger

Goffman

Lewin

Kurt Lewin

(1890 – 1947)

The whole as starting point

Dynamic of situations

Psychological aspects

http

://w

ww

.tavin

stitu

te.o

rg/

P. D

ieckm

an

n, D

IMS

B=f(P,E)

PWishes

KnowledgePerception

Anticipation

Memories

Habitserson

Life Space

+P

Life Space

+

+

+

++

--

Affordances describe the value of elements

for a person in the life space

P. D

ieckm

an

n, D

IMS

P

Life Space

+ +

++

--+

Not all is achieveable (easily)

Borders have different strengths

P. D

ieckm

an

n, D

IMS

P

Material Aspects

Social and

Organisational Aspects

Installation

Material Layer

Embodied Competence

Societal andorganisational control

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Installation

Material Layer

Embodied Competence

Societal andorganisational control

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

P

E

E

Installation

ML

EC

SC

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Compensations

Installation

ML

EC

SC

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Compensations

Declining

Eyesight

Installation

ML

EC

SC

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Compensations

Declining

Eyesight

Extend

Arm

Increase

Light

Reluctance to

buy glases

Installation

ML

EC

SC

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Compensations

Software

Bugs

Ask your colleague

Restart Computer

Inform programmer

Find workaround

Installation

ML

EC

SC

Saadi Lahlou

P.

Die

ckm

an

n, C

AM

ES

Compensations

„Unworkable“

Guidelines

“Violations“

Hide Folders

Feedback to designers

Block implementation

Complain to colleagues

ML

EC

SC

Clinical Practice

ML

EC

SC

Simulation / EducationalPractice

Connection

P.

Die

ckm

an

n, C

AM

ES

Work as imagined / Work as done.(Erik Hollnagel)

Formula for Impact

MedicalScience

Educational

Efficiency

Local

OrganizationSafety

Quality of care

Adapted from Resuscitation 59 (2003) 11-43

Human Factors

Ergonomics

Process sceience

P. D

ieck

man

n, C

AM

ESP.

Die

ckm

ann

, CA

MES

Standardized

Teaching

Variable

Learning

Variable

Teaching

“Standardized”

Learning

Thank you

Peter Dieckmann

Peter.dieckmann@regionh.dk

@pdieckmann

P. D

ieck

man

n, C

AM

ES

Making the implicit

explicit:

Theories informing

simulation-based education

October 18

Introduction: Debra Nestel

Theory #1: Gabriel Reedy

Theory #2: Peter Dieckmann

November 10

Theory #3: Nancy McNaughton

Theory #4: Walter Eppich

Theory #5: Ryan Brydges

#simtheory

Simulation education and…

Cognitive Load Theory

Installation Theory

November 10

Critical Theory

Cultural-Historical Activity Theory

Normative Theory

Thank you

Debra Nestel

AMEE Simulation Committee

Further reading (DN)

• Battista, A., Activity theory and analyzing learning in simulations. Simulation and Gaming, 2015. 46(2): p. 187-196.

• Battista, A., & Nestel, D. (In press). Simulation in medical education. In T. Swanwick (Ed.), Understanding Medical Education: Wiley.

• Bearman, M., N. McNaughton, and D. Nestel, Theories informing healthcare simulation practice, in Healthcare Simulation Education: Evidence, Theory & Practice, D. Nestel, et al., Editors. 2018, John Wiley & Sons Ltd.: Chichester. p. 9-15.

• Eppich, W. and A. Cheng, Cultural historical activity theory (CHAT) - informed debriefing for interprofessional teams. Clinical Simulation in Nursing, 2015. 11: p. 383-389.

• Fenwick, T. and M.A. Dahlgren, Towards socio-material approaches in simulation-based education: lessons from complexity theory. Med Educ, 2015. 49(4): p. 359-67.

• Husebo, S., S. O'Regan, and D. Nestel, Reflective practice and its role in simulation.Clinical Simulation in Nursing, 2015: p. 368-375.

• Kneebone, R., Simulation in surgical training: educational issues and practical implications.Medical Education, 2003. 37(3): p. 267-77.

• Nestel, D. and M. Bearman, Theory and simulation-based education: definitions, worldviews and applications. Clinical Simulation in Nursing, 2015. 11: p. 349-354.

• Reedy, G., Using cognitive load theory to inform simulation design and practice. Clinical Simulation in Nursing, 2015. 11: p. 350-360.

gabriel.reedy@kcl.ac.uk

weppich@gmail.com

ryan.brydges@utoronto.ca

nmcnaughton@michener.ca

mail@peter-dieckmann.de

debra.nestel@monash.edu

dnestel@unimelb.edu.au

#simtheory

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