Prof dr Jozef Colpaert 27 May 2016 Tweet JozefColpaert Thanks Henri De Braekeleer 1872 Antwerp Cathedral Start ing point 1 How do you determine which technologies ID: 599337
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Slide1
Technology as the ‘normal’ result of good design in language learning and teaching
Prof. dr. Jozef Colpaert27 May 2016Tweet @JozefColpaertSlide2
Thanks!
Henri De Braekeleer. 1872. Antwerp CathedralSlide3
Star(t)ing point 1How do
you determine which technologies to use, when, where, how and why?Slide4
WarningSome statements in this
presentation may be perceived as provocative and may cause irritation and even frustration.This speaker is not responsible for possible side effects like goose bumps, peak blood pressure, stomach burn or headache.More than
one attendee will probably say:Slide5
Star(t)ing point 2Do
you consider your daily teaching as research?Slide6
Teachers feel …… they should use technology for ‘some’ reason
… pressured by:peersstudentssuperiorsresearcherscompaniestechies…Slide7
They feel…… they should use words like:flipped classrooms
virtual learning environments digital pedagogy blended learningBYODMOOCsdigital natives serious gamesbig data21st century skillsProblem: pervasive terms, persuasive language use & blurred ontologiesSlide8
Educational
technologySlide9
No
technology carries
an
inherent,
measurable
and
generalizable
effect
on
learning
.Slide10
Ecological paradigm shift
No technology (in extenso educational artefact) carries an inherent, measurable and generalizable effect on learning.This effect can only come from the entire learning environment as an ecology.The learning environment = collection
of interacting componentsSlide11
P
rocess-oriented paradigm shiftThe eventual learning effect of the LE is proportional to the designedness of the LEDesignedness = the extent to which it has been designed in a methodological and systematic wayDesign research focuses on a common methodology but leads to polymorphous results. Consequences for research and evaluation: it’s not about the product, it’s
the process!Slide12
Why do planes fly?Slide13
Why do planes fly ?Slide14
Pull paradigm shiftTraditional approach:
technology, and in extenso other educational artefacts, have an effect on learning, on the brain (push-model)A methodological design process creates a demand for / entails the need for specific educational artefacts (pull-model)
Case of technology: consequence of the design process = specification of
needed
functionalities
w
hich
technologies
afford
which
functionalities
?Slide15
Psychological paradigm shiftFocus on personal goals is a more efficient way to achieve pedagogical goalsCOLPAERT,
Jozef. “Elicitation of language learners’ personal goals as design concepts.” Innovation in Language Learning and Teaching. Vol. 4, No 3, November 2010, 259-274. Taylor and Francis.Between Self-Determination Theory and Dörnyei’s L2 SELF modelSlide16
Approaches to ICT integration
A technology-driven approach promotes the use of a technology based on its innovative features. A demand-based approach simply responds to needs mentioned by teachers and students.An affordances-based approach looks at perceived new activities for language learning and teaching. An acceptance-oriented approach focuses on the mental acceptance of a technology e.g. perceived usefulness versus ease of use. A motivational
approach looks into how technologies can help to satisfy universal or individual psychological needs. An attribute-based approach analyses
cognitive aspects such as the processing of visual, auditory and textual information.
A
pedagogy-based
approach
starts
from a pedagogical theory such as socio-constructivism in order to justify the choice for and integration of a specific technology
.
An
educational engineering
approachSlide17
EducationEducation = “l’art
du possible”by its very nature, education can and will never be perfectlack of time and resources often prevent us from duly implementing the required changesany change, even the most justifiable one, entails some kind of resistance, often from stakeholders we misjudgethere is not enough knowledge available in terms of substantiated findings which would enable us to improve education, solve problems or design solutions in a systematic, methodological and justifiable way. So how can we build knowledge?Slide18
Overview DD as EE approach
1. Educational Engineering (EE)2. Distributed Design (DD) as EE approach3. The Distributed Design (DD) Model4. The role and shape of educational technology5. EE as Research MethodSlide19
EngineeringWhat is engineering exactly ?Slide20
Engineering
Wikipedia: “Engineering is the discipline, skill, and profession of acquiring and applying scientific, economic, social, and practical knowledge, in order to design and build structures, machines, devices, systems, materials and processes.”B.V. Koen. 1985. Definition of the Engineering Method. “By the engineering method I mean the strategy for causing the best change in a poorly understood or uncertain situation within the available resources.” (p.5)
strategy to apply when not enough knowledge is availableSlide21
Engineering approachstages, e.g.:A
nalysisDesignDevelopmentImplementationEvaluationlifecycles: intermediate loopsabout hypothesis building & validating
e
i
d
d
a
v1
v2
v3
v4Slide22
Educational
EngineeringEE is about building best possible (optimal) educational artefacts documents, tools, content, concepts, models and solutions such as textbooks, syllabi, lesson plans, curricula, graded readers, exercises, tests, applications or electronic learning platforms …Artefact = construct, working hypothesis built on theory and practicereal-world hypothesis testingless/no iterative prototypingSlide23
Overview DD as EE approach
1. Educational Engineering (EE)2. Distributed Design (DD) as EE approach3. The Distributed Design (DD) Model4. The role and shape of educational technology5. EE as Research MethodSlide24
Distributed Design Hypotheses:the engineering approach itself
is a hypothesisthe ‘distributed’ hypothesisParadigm shifts:The ecological paradigm shiftThe process-oriented paradigm shiftThe ‘pull’-driven paradigm shiftThe psychological paradigm shiftWorking hypotheses:ontological specificationgeneric contentSlide25
Overview DD as EE approach
1. Educational Engineering (EE)2. Distributed Design (DD) as EE approach3. The Distributed Design (DD) Model4. The role and shape of educational technology5. EE as Research MethodSlide26
The Distributed Design Model
Analysis
Development
Implementation
Evaluation
conceptualization
specification
prototyping
Design
Theory
TechnologySlide27
Distributed DesignAnalysisDesignConceptualisation
SpecificationPrototypingDevelopmentImplementationEvaluation27Slide28
Analysis
LOCALDIFFERENTIALLearnerMotivated versus not-motivated learnersTeacherTeachers afraid of technologyOther agentsLearning model
Teaching modelEvaluation model
Content
ICT
Infrastructure
Classrooms
too
small
28
p
lain
= aspect
cannot
change
italic= aspect
can
change
bold
= aspect
should
changeSlide29
Distributed DesignAnalysisDesign
ConceptualisationSpecificationPrototypingDevelopmentImplementationEvaluation29Slide30
DesignInput: output from Analysis stageStages:
conceptualizationspecification prototypingOutput: concept creates requirements forcontentpedagogy: learning, teaching, evaluation modeltechnology: functionalities needed for interaction architectureOnly applies to optimal learning
environmentSlide31
Distributed DesignAnalysisDesignConceptualisation
SpecificationPrototypingDevelopmentImplementationEvaluation31Slide32
SpecificationDetailed
description of what needs to be changed / created:Pedagogical specificationContent specificationArchitectural specificationTechnological specificationCan only be done with knowledge (
cfr TPACK):pedagogicalcontenttechnologicalSlide33
Architecture
teacherlearnercontent
c
o-
learner
teacher
learner
content
c
o-
learner
c
lassroom
wallSlide34
Technological
specificationNeed for functionalities created by design process:create a document together synchronously & asynchronouslyshow the opinion of students on-the-flyadd subtitles to
video fragmentsadd interactive exercises and
tests
to
a course
self-evaluation
peerfeedback
…Slide35
Distributed DesignAnalysisDesignConceptualisation
SpecificationPrototypingDevelopmentImplementationEvaluation35Slide36
Overview DD as EE approach
1. Educational Engineering (EE)2. Distributed Design (DD) as EE approach3. The Distributed Design (DD) Model4. The role and shape of educational technology5. EE as Research MethodSlide37
Role and shape of ed. tech.
Added_value(ICT) = match (affordances(ICT), requirements (LE))Adapt / use dedicated / non-dedicated / (re)design & developDesign & develop: system object modelscontentTransdisciplinary approachSlide38
Overview DD as EE approach
1. Educational Engineering (EE)2. Distributed Design (DD) as EE approach3. The Distributed Design (DD) Model4. The role and shape of educational technology5. EE as Research MethodSlide39
EE as research methodEmpirical and theoretical validation of hypotheses
Hypotheses:Ecological ProcessPull-drivenPsychological …Slide40
MeasurementHypothesis validation: ∆ (outcome
, expected outcome)Aspects amenable to improvement identified during Analysis phase (learner, teacher, content, technology, pedagogy, infrastructure …)Process indicators: cost, speed, self-efficacy, efficiency, …Product indicators: face value, sustainability, accessibility, acceptability, price, quality, teacher support, …Ultimate goal: learning
effect not measured through EEconversely: does
it
make
any
sense
to
measure
learning
effect without engineering ?Slide41
EE as research methodDifferent from DBR & AR:
real worldresponsibilitygradual, iterativecyclic, stagedmethodologicalhypothesisanalysis of the process (cfr. DD)no measurementSlide42
Conclusion EE is a staged, cyclic and
iterative instructional design model.Holistic <> discreteEE formulates hypotheses at every loop, based on previous experience and checked with available theories.DD is an EE approach based on four paradigm shifts:Any
learning effect can only come from the entire
LE
This
effect is
proportional
to
the
designedness
of the LE
Design
creates
the
need
for
artefacts such as ICTFocus on personal goals firstSlide43
ConsequencesIt does not make sense to
measure the effect of technology“When we give proper weight to local conditions, any generalization is a working hypothesis, not a conclusion.” (Cronbach, 1975: 125)It does not make sense to evaluate a product on the basis of its featuresEvaluating = redesigningYou can/should decide for yourselves which technologies to use, why, how,
when and whereWith the same process
, but different context, the
outcome
will
by
definition
be
different
Neither
technology
nor
pedagogy
should come first in designwww.openlearning.orgSlide44
You
are invited …Conferences:EuroCALL, Cyprus, 24 - 27 August 2016ICCE 2016, India, 28 November – 2 December 2016XVIIIth International CALL Research Conference, US, 5 - 7 July 2017LinkedIn Group Computer Assisted Language Learning Twitter: @JozefColpaertFacebookwww.jozefcolpaert.net