educational design patterns in mathematics ambjörn naeve the knowledge management research group...
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Educational Design Patternsin Mathematics
Ambjörn Naeve
The Knowledge Management Research groupCentre for user-oriented IT Design (CID)
Numerical Analysis and Computer Science (NADA)Royal Institute of Technology (KTH)
Stockholm / Sweden
http://kmr.nada.kth.se
Structure of today’s math education system
Closed layered architecture based on:
• lack of subject understanding in the early layers.
• minimization of teaching duties in the final layers.
• life long teaching with:
• curricular-oriented ”knowledge pushing”.
Problems with today’s math education
It does not:
• promote understanding.
• support personalization.
• integrate mathematics with human culture.
• stimulate interest.
• integrate abstractions with applications.
• support transition between the different layers.
Possibilities for improving math education
• visualizing the concepts.
• interacting with the formulas.
• using ICT to increase the ”cognitive contact” by:
• personalizing the presentation.
Promoting life-long learning based on interest by:
• improving the narrative by:
• showing before proving.
• focusing on the evolutional history.
• routing the questions to live resources.
• proving only when the need is evident.
A traditional educational design pattern
(Tenured Preacher / Learner Duty)
School Duties
Course
Preacher
PrisonerEmployee
Teacher Learner
Life-longteaching:
Minimallearning efforts
Security
Doing time in return fora degree
Pupil
Confinement
Tenure
Agent 007with a rightto kill interest
* *
An emerging educational design pattern
(Requested Preacher / Learner Rights)
School Rights
Resource Seeker
Learner
Student
Knowledge
Life-longTeacher
Consultant
learning:
Pedagogical
Interest
Developingyour interests
Requestedteaching:
You teach as longas somebody is learning
Course
* *
A Knowledge Manifold
• is designed in a way that reflects a strong effort to comply with emerging international IT standards.
• can be regarded as a Knowledge Patchwork, with a number of linked Knowledge Patches, each with its own Knowledge Gardener.
• gives the users the opportunity to ask questions and search for live certified Knowledge Sources.
• is a learner-centric educational architecture that supports question-based learning.
A Knowledge Manifold (cont.)
• allows teachers to compose components and construct customized learning environments.
• makes use of conceptual modeling to support the separation of content from context.
• contains a conceptual exploration tool (concept browser) that supports these principles.
• has access to distributed archives of resource components.
The seven different Knowledge Roles of a KM
• The knowledge cartographer
• The knowledge composer
• The knowledge librarian
• The knowledge coach
• The knowledge preacher
• The knowledge plumber
• The knowledge mentor
• constructs context-maps.
• fills the context-maps with content.
• composes content components into learning modules.
• cultivated questions.
• provides live answers.
• connects questions with appropriate preachers.
• provides motivation and supports self-reflection.
QBL: the 3 performing knowledge roles
Preacher
Knowledge
Coach Plumber
Master Gardener Broker
you teachas longas somebodyis learning
you assistin developingeach indiduallearning strategy
you findsomeoneto discussthe question
´ ´ ´
QBL: the 3 performing knowledge roles (cont)
Source Strategist Opportunist
Knowledge
fascination methodology opportunity
qualitymeasured bygiven answers
qualitymeasured bylost questions
qualitymeasured byraised questions
Question
How Why
Mathematical Activity
Algorithm Proof
Long term trend in mathematics education
Solution Elimination Problem
eliminate
ProblemElimination
Cause
Organization
edissolv
Pr oblemSolution
crystalize
Symptom
Organization
edissolv
Problem / Solution versus Problem / Elimination
dissolve
Crime Jail
crystalize
Organized
Economic Dysfunctionality
Legal System
Problem / Solution applied to Crime
dissolve
Conceptual Difficulty Algorithmic Ability
crystalize
Anticipated
Understanding Dysfunctionality
Pedagogical System
isA
Mathematicsis difficult
nurturing the difficulties
I never understood itwhen I was at school
because
behave or degrade
Problem/Solution applied to early math education
dissolve
Conceptual Difficulty Academic Status
crystalize
Anticipated
Understanding Dysfunctionality
Publicational System
isA
Mathematicsis difficult
nurturing the difficulties
I understand it, andI am smarter than you
because
publish or perish
Problem/Solution applied to late math education
dissolve
Conceptual Difficulty Algorithmic Ability
crystalize
Anticipated
Understanding Disfunctionality
Computational Industry
Mathematicsis difficult
isA
marketing the difficulties
solve by computation
Formulation Solution
ProblemExtractingmathematicalskeleton
Computing thealgorithmicsolution
the
We can help youto solve your problems
but
Problem/Solution applied to calculator industry
Researcher ArtistConsultantTeacher
Academia Business
Later Education
Business
Employee
nono no no
no
nono
yes no
understand?
make money?
socially conscious?
creative? creative? creative? creative?
make money?
Teacher
yes yes
yesyes yesyes
yes
Linear
Total Digital
Fourier
HermitianReal
Matrix
Operator
Eigenvalues
Symmetric
Newtonian
Harmony(1, 4/3, 3/2)
Mechanics
Quantum Mechanics
Harmony of the Spheres
Analysis
CommensurabilityWorldview
Rational Music
Heisenberg’s Uncertainty Principle
Pythagoras’ Philosophy
The digital view - from Pythagoras to Heisenberg
Harmony
AtomicCrystal Arithmetic Musical
SubstancePattern Sub
Bohr’s electron model:
orbit1234
speed (km/s)21601080720540
Lavoisier:
HydrogenOxygenNitrogenH2O
Dalton:
Every chemical combinationtakes place only in its particularand precise weight proportions
Haüy (Law of Rational Indices):
The lattice spacings of atomspermit certain peculiarcrystal symmetriesand no other
Mendelejev:
Prediction of3 new elements(eka-aluminium)
octavequintquartters
21--- 3
2--- 4
3--- 5
4---≠≠≠
1786
1807
1869
1780
1920
-600
:Pythagoras
P eriodical System of the Elements
law ofoctaves
:Harmonic Mean
= + /a b b h= + /b c c h
=>eliminate h( - )/( - ) = /a b b c a c
Fedoro :vTher e ar e exactly17 wallpaper symmetry groups230 crystal symmetry groups
1891
Information Knowledge Understandingreflectingweeding
Concept
conceive
Percept
perceive
despise
Science Humaniora
stigmatize
Rational
Non Human
Emotional
Academia
Nerdy
Luke Warm
Scientist Artist
Sexy
Cool Hot⇔
I ama rock
siliconrocks
Computational
my heartis a rock
heartof rock
Relational
my heartrocks
rockat heart
hot & coolrocks
I amrock
Einstein
FrankensteinSpringsteen
Attityd
Förväntan
Försvar Förälder
Lärare
Bekräftelse
Barn
tid
Att räkna med x är svårt.Jag förstod det aldrignär jag gick i skolan.
Barn, vi ska nu börja räkna med det där mystiska talet x som ni alla har hört talas om.
Jag kommer aldrigatt begripa det här!
Just det, precis som jag trodde, jag kan helt enkelt inte förstå det här!
Begreppsmässig svårighet
Minsta tecken på mentalt motstånd
Låd-Multiplikation
Låda<<ärEn>>
inlärningsordning
Låd-Relation
Låd-Kvadrering
Grafisk Låd-Relation
Funktion
Pil
x
x • y
x2
y = x2
x
y
x2
1
1
( )2a a2
x - fixering
<<leder till>>
x
y = x2
R+R+
<<ärEn>>
<<ärEn>>
<<ärEn>>
<<ärEn>>
<<ärEn>>
<<ärEn>>
References
• Naeve, A., IT-baserade matematikverktyg på KTH, CID-49,
NADA/KTH, 2001.
These reports are available in pdf at http://kmr.nada.kth.se
• Naeve, A., The Garden of Knowledge as a Knowledge Manifold - a conceptual framework for computer supported subjective education, CID-17, NADA/KTH, 1997.
• Naeve, A., Conceptual Navigation and Multiple Scale Narration in a Knowledge Manifold, CID-52, NADA/KTH,1999.
• Naeve, A., The Work of Ambjörn Naeve in the Field of Math. Educational Reform,CID-110, NADA/KTH, 2001.
• Naeve, A., Begreppsmodellering och matematik, CID-109, NADA/KTH, 2001.