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8/18/2019 ID Learning Theories
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Learners and LearningLearners and Learning
1
A Quick Tour of Instructional Design Modelsand Learning Theories
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Designing Instruction…Designing Instruction…
http://wejew.com/media/!!/"einfeld#$istor%#Lesson/http://www.dail%motion.com/&ideo/'a()cm#snl*seinfeld*school*sketch#fun
Or not…Or not…2
http://wejew.com/media/977/Seinfeld_History_Lesson/http://www.dailymotion.com/video/xa83cm_snl-seinfeld-school-sketch_funhttp://www.dailymotion.com/video/xa83cm_snl-seinfeld-school-sketch_funhttp://wejew.com/media/977/Seinfeld_History_Lesson/
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Big Bang Theory: Sheldon Teach
3
http://www.cbs.com/shows/big_bang_theory/http://www.cbs.com/shows/big_bang_theory/
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Our Roadmap…Our Roadmap…Models:
• +loom , -agn• %0ergog%• 1*2s of Moti&ation• Message design
• "3I of meaningful learning4Ma%er56.
Technology:• all kinds
Theories:• +eha&iorism• ogniti&ism• onstructi&ism
4
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Many other Models & Principles
Database of Design Principles
Emerging Perspectives on Learning, Teaching & Tech
E DTEC’s EET ; and EDTEC Student Portfolios
5
http://www.edu-design-principles.org/dp/designHome.phphttp://www.coe.uga.edu/epltt/index.htmhttp://www.coe.uga.edu/epltt/index.htmhttp://www.coe.uga.edu/epltt/index.htmhttp://www.etc.edu.cn/eethttp://www.etc.edu.cn/eethttp://www.etc.edu.cn/eethttp://www.coe.uga.edu/epltt/index.htmhttp://www.coe.uga.edu/epltt/index.htmhttp://www.coe.uga.edu/epltt/index.htmhttp://www.edu-design-principles.org/dp/designHome.php
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Blooms Ta!onomyBlooms Ta!onomy
Cognitive and Affective Domain
A Review!
"
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Bloom’s TaxonomyBloom’s Taxonomyogniti&e and Affecti&e Domain
http://www.odu.edu/educ/llschult/blooms_taxonomy.htm
#
http://www.odu.edu/educ/llschult/blooms_taxonomy.htmhttp://www.odu.edu/educ/llschult/blooms_taxonomy.htm
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Bloom’s TaxonomyBloom’s Taxonomyogniti&e and Affecti&e Domain
http://www.odu.edu/educ/llschult/blooms_taxonomy.htm
Q:$ow would %ou changethe design of %ourinstructionto match each of theseclassifications7
Q:8hat do %ou want %our
students to do7
8e2ll re&isit +loom ne'tweek.
$
http://www.odu.edu/educ/llschult/blooms_taxonomy.htmhttp://www.odu.edu/educ/llschult/blooms_taxonomy.htm
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%
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Bloom’s TaxonomyBloom’s TaxonomyLinks to learn more 6
http://projects.coe.uga.edu/epltt/inde'.php7title9+loom;!s#Ta'onom%
http://coe.sdsu.edu/eet/Articles/0loomre&/
http://coe.sdsu.edu/eet/Articles/+loomsLD/inde'.htm
Appl%ing +loom2s Ta'onom% 4sample &er0s< =uestions stems<potential acti&ities and products5http://www.teachers.ash.org.au/researchskills/dalton.htm
Ad&ice on +loom2s< &er0 selection< effecti&e =uestioning techni=ues
from "t. >dward2s ?ni&ersit% enter for Teaching >'cellencehttp://www.stedwards.edu/cte/files/+loom@ol%gon.pdf
Question cues for test items 0ased on +loom2s Ta'onom% from?ni&ersit% of ictoriahttp://www.coun.u&ic.ca/learning/e'ams/0looms*ta'onom%.html
1
http://projects.coe.uga.edu/epltt/index.php?title=Bloom%27s_Taxonomyhttp://coe.sdsu.edu/eet/Articles/bloomrev/http://coe.sdsu.edu/eet/Articles/bloomrev/http://projects.coe.uga.edu/epltt/index.php?title=Bloom%27s_Taxonomy
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'agn('agn(
Nine Events of Instruction
Also, a Review and Reinforcement!
11
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Gagn’sGagn’sBine >&ents of Instruction C !hy Gagn"
• @ro&ide a framework for planning and deli&ering instruction
• 8orks across differing t%pes of learning outcomes• Intellectual skill• ogniti&e strateg%• er0al information• Attitude
• Motor skill
12
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Gagn’sGagn’sBine >&ents of Instruction
Getting #tarted: . -aining Attention
;. Informing the Learner of the30jecti&e4s5). "timulating Eecall of @rior Learning
Deli$ering the Goods: F. @resenting "timuli G. -uiding Learning
13
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Gagn’sGagn’sBine >&ents of Instruction
%hec&ing 'or %omprehension: 1. >liciting @erformance
!. @ro&iding Information
Ta&ing it to The (ext )e$el (. Assessing @erformance
. >nhancing Eetention and Transfer
14
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Gagn’sGagn’sBine >&ents of Instruction
Throughout the semester
loo& 'or ho* the + e$ents'it di''erent models o' instruction andinstructional design,
15
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)y*ergogy +or ,ngaged
Learning-.ang & /ang0 2" 2#
httpedutechwi"i#unige#ch
enC$bergog$
• Pedagog$ teaching
methods for "%&'• Andragog$ for adults• C$bergog$ for online
1"
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8/18/2019 ID Learning Theories
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w i n e k n o ww i n e k n o w
l e a r n . d r I n k . s h a r e
f o r t h e m o d e r n w I n e n o v I c e
,ngaged
Learning
)ognitie
actors
nline Learning
,nironment
• eeling o+ sel+ • eeling o+ comm6nity• eeling o+ learning
atmosphere• eeling o+ learning
process
,motie actors
• Personal attri*6tes• )onte!t• )omm6nity• )omm6nication
Social actors
• Prior 7no8ledge9,!perience• chieement o+ goals• Learning actiity• )ognitie9learning style
)ognitie actors
,motie
actors
Social
actors
Course DesignCourse DesignFrameworkFramework
)ognitie Load Theory
Behaiorism
Social )onstr6ctiism
/ellers ;)S
)onstr6ctiism
d6lt Learning Theory
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BehaiorismBehaiorism
("inner, Pavlov
1%
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Beha$iorismBeha$iorism@a&lo& , "kinner
•3&ert 0eha&iors that can 0e measured•"e=uence of cues teach o0jecti&es
•?se of positi&e and negati&e feed0ack
•ommon applications:•+eha&ior Modification•Eeinforcement "chedules
.utomaticity: Hocus on repeating new 0eha&ior patterns
until the% 0ecome automatic
2
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Beha$iorismBeha$iorism@a&lo& , "kinner
#trengths
• Teaching facts
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Gi$e a scenario*here you *ould use
a Beha$iorist approach,
Beha$iorismBeha$iorism@a&lo& , "kinner
22
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Please don’t read
the following slide.
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8/18/2019 ID Learning Theories
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The answer is:
automaticity
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)ognitiism)ognitiism
)ental )aps
2"
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Cognitive Overload
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Memories
1,829
rehearsal
sensory
bufers
Working
Memory
Long
Term
Memory
orgotten
6.9 %1,68!." %
#ogniti$e artia#t, me%ium,tool
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%ogniti$ism%ogniti$ismMental Maps
#trengths
• "kill transfer• >ffecti&e to teach
• omple'0eha&iors• The 0est wa% toperform a task• "ingle wa% toperform within aspecific population4compan%<militar%5• Eules or wa%s tothink
!ea&nesses
• reates uniform0eha&iors
• Assumes 0eha&ioris the onl% or 0estwa%
3
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Gi$e an exampleo' cogniti$ist teaching and
learning situations in your *orld,
%ogniti$ism%ogniti$ismMental Maps
31
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)onstr6ctiism)onstr6ctiism
Piaget, Dewe$, *$gots"$
32
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%onstructi$ism%onstructi$ism@iaget< Dewe%< %gotsk%
• %ommon terms:• In=uir%*0ased< learning 0% doing< hands*on< colla0orati&e
• .ssumptions: 40ased on Merrill5
•onstructed from e'perience
• Learning is personal interpretation and an acti&e
process
•"ituated in realistic settings
•"hare< common knowledge33
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#trengths
• >ffecti&e to teach:• Jreal lifeKsituations• sol&e no&elpro0lems• pro0lem sol&ingskills with multiplesolutions
• "upportsde&elopment ofmetacogniti&e skills
!ea&nesses
• Inefficient to teach:C Eecall of facts
C Memoriation
C "ituations wherethere is a single
wa% to perform• Difficult to e&aluate
learning o0jecti&el%
%onstructi$ism%onstructi$ism@iaget< Dewe%< %gotsk%
34
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/o* do you use%onstructi$ist techni2ues no*"/o* might you in the 'uture"
%onstructi$ism%onstructi$ism@iaget< Dewe%< %gotsk%
35
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#ample .ns*ers:• Authentic< real scenario
• Ill*defined pro0lems
• olla0orati&e pro0lem*sol&ing
• "imulated pro0lem*sol&ing
• @roducing JrealK products• • Anchored instruction
o Jasper Woodbury Adventure Series http://pea0od%.&ander0ilt.edu/projects/funded/jasper/default.html
%onstructi$ism%onstructi$ism@iaget< Dewe%< %gotsk%
3"
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3op Qui453op Qui458hat2 the underl%ing learning theor%7
• Increase automaticit%
• Modeling thinking aloud
• De0riefing
• ?se &isuals to reinforce memoriation
• ?se computer as a *to* tutor
• +rainstorming< mapping< ad&ance organiers
• "tudent teaching Intern with "tar0ucks< >E
3#
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Sample Port+olios: msloomis>com9
http:99?eaninethomas>8ee
*ly>com9
http:998e*>me>com9der7ara19ePort+olio9.elcome>ht
ml
http:99888>ly+ordrome>co
m9eport+olio9
)#A#-s
http:998atersport+olio>8or
dpress>com9 http:99888>*artos@roman
>com9port+olio>html
http:99888>mannyoliere
@>com9port+olio9 https:99sites>google>com9
site9lanasedtecport+olio9
3$
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Ao8 do they )onnect
Theories to Practice
Pa$ attention to the ./' pro0ects#
3%
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.s you select your pro6ect
*here *ill you useBeha$iorist1 %ogniti$ist or %onstructi$iststrategies"
In *hat aspects o' your instruction"
/o* *ould you use these strategiesonline or 'ace to 'ace"
Thin& .0out This:Thin& .0out This:
4