the representative student

30
The Representative Student Stephen Downes June 23, 2010 presen

Upload: stephen-downes

Post on 05-Dec-2014

3.633 views

Category:

Documents


0 download

DESCRIPTION

In this presentation I explore two related questions: first, what is the role of models and simulations both in delivering learning, and in learning about learning; and second, what is the relation between adaptive courseware, and the social network approach to learning based on creativity and communication? For audio see http://www.downes.ca/presentation/257

TRANSCRIPT

Page 1: The Representative Student

The Representative Student

Stephen DownesJune 23, 2010

presen

Page 2: The Representative Student

Representative…

• … typical, a model of• … one who engages in acts of representation• … one who stands for others

Page 3: The Representative Student

Two challenges

1. Modeling• act of learning as

modeling• Proof of learning

theory as modeling

Page 4: The Representative Student

2. Adaption• Student as adaptive• System as adaptive

• Is it better for the student to adapt to the system, or for the system to adapt to the student

• Not simply a deus ex machina question• Not a duality, not polarization – just a frame to

discuss this in

Page 5: The Representative Student

• Attempt to respond to both = connectivism• Course structure models / is real world

structure• Activity to receive, work with, create

ideas/resources/objects/models

Page 6: The Representative Student

• A model is a representation• Representations = complex constructions

Page 7: The Representative Student

The Connectivist model

• Basically equates model building with network building

• ‘what happens in the neuron is what happens in the network’

• George – seems sometimes to depict it as one and the same thing – the stuff happening inside a person is the stuff happening outside

Page 8: The Representative Student

Simple Connectivism

• What happens in the neuron is what happens in the network…

• The neuron connects• Ergo, the network connects

Page 9: The Representative Student

Complex Connectivism

• What happens in the neuron is what happens in the network

• Network = complex representational structures

• Ergo, what the neuron is doing = complex representational structures

Page 10: The Representative Student

• Simple Connectivism: thoughts of cigars ---> everything is made of cigars– ie. Nature of mind informs nature of world

• Complex Connectivism:Thoughts of cigars <--- various meanings of ‘cigars’– ie. Nature of world informs nature of mind

• Like Dennett’s ‘intentional stance’, but with connections

Page 11: The Representative Student

Critical Literacies

• CritLit = an attempt to get at what those complex representational structures look like

• Such that what’s happening in the network (society) = what’s happening in the network (person)

Page 12: The Representative Student

• What are those things – three aspects of ‘representation’

• … typical, a model of (aggregation)• … one who engages in acts of representation

(remix, repurpose)• … one who stands for others (feed forward)

Page 13: The Representative Student

Critical Literacies

• The six critical literacies:– Cognition – argument, explanation, definition,

description– Change – patterns of change – Pragmaticism – use, effect, cause – Syntax – construction, possibilities– Context – frames, perspectives, cultures– Semantics – meaning, truth, goals, desires

Page 14: The Representative Student

These are all:

• Aspects of experience• Aspects of thought• Aspects of communication

• They are at once the constituents of these models, but also the skills involved in understanding, manipulating and communicating these models

Page 15: The Representative Student

The Linguistic Pull

• Pylyshyn – the “objective pull” – the tendency to view representations in terms of the properties of the represented objects

• “Linguistic Pull” – the tendency to view the objects represented in terms of the properties of the representations

• (eg. ‘meaning of life’)

Page 16: The Representative Student

Beyond Linguistic Entities

• We are learning today that representations may be constructed (found, grown) out of anything – that linguistic properties are just one set of properties objects/representations can have

• Cross the six literacies against various representational media – mathematics, audio, photo/video

Page 17: The Representative Student

• Gardner’s multiple intelligences are multiple representative systems

• (what the heck do you think interpretive dance is?)

Page 18: The Representative Student

What to Represent?

• Back to adaptive software – what do we represent about students?

• It’s tempting to use propositions – triples – to generate these representations (isn’t that what an adaptive system would do?)

• What is it to learn about a student?

Page 19: The Representative Student

Tyranny of the Drop-Down List

• Jaron Lanier – You are not a gadget• Representions are abstracts – the more

formal, the more abstract• Asif: feels like it sterilizes natural language

Page 20: The Representative Student

How to Represent

• Linguistic structures• Mathematical representations• Videos, paintings, songs• Gestures, behaviours• More…?

Page 21: The Representative Student

Forms of Models

can = forms of simulations, forms of games• Quiz – propositional knowledge• Branch & Tree – process knowledge• Database – system knowledge• Simulation – spatial knowledge• More? Improv?

Page 22: The Representative Student

Cognitivism vs Connectionism

• Cogitivism – representations are like sentences (triples, etc)– Representational realism – grammar guaranteed

by properties of mind/world – to be ‘true’

• Connectionism– Representations are like patterns– Representational realism – patterns guaranteed by

properties of mind/world – to resemble

Page 23: The Representative Student

Limits of Language

• Cogntivism vs Connectivism not a dualism – cognitivism is a decision to focus on a certain set of patterns

• But the patterns are limited by the vocabulary• Also, false perception of precision (= believing,

based on identity of word, there is an identity of understanding)

Page 24: The Representative Student

The Resemblance Theory of Mind

• ‘A’ is a model of ‘B’ because A ‘stands for’ Bvs• ‘A’ is a model of ‘B’ because A resembles.

Compare the sorts of inferences that can be made – the sorts of things that can be said about cognition, pragmatics, etc. based on resemblance rather than representation

Page 25: The Representative Student

Similarity

• Logic of similarity = a logic of associations• Four mechanisms of association• Semantics of similarity = degree of

resemblance (not contra others, ‘distance’)• Tversky – feature-based similarity• Stalnaker – salience• Inference = a form of similarity-based

production

Page 26: The Representative Student

The Representative Student

• Compare… the sort of inferences a triple-based representation can make about a student– Equivalent to drop-down lists?– Based on a selected set of patterns

• But – computationally – is there any other way?

Page 27: The Representative Student

Constructionism

• What happens in the network is what happens in the neuron

• The task of the student (in the network) is to build a representation (of his/her ideal self)

• This generates a representation of the ideal self in the neuron (= in the student) = resemblances with the model

Page 28: The Representative Student

Constructive Adaptation

• = opening new vistas to the student• = worlds, based on resemblances with the

students’ own construction, open up• What are these worlds?– Sentential structures (= propositional knowledge)– Models, simulations, representations– Networks, people, groups, structures

Page 29: The Representative Student

• the network surrounding the student resembles the student’s representation of him/her self, based on the constructions the student creates, based on aspects of the world (role models) he/she would like to resemble

Page 30: The Representative Student

Stephen Downeshttp://www.downes.ca