Theories of Creativity

Kai Hakkarainen

University of Helsinki, Dept. of Psychology

What is creativity?

How does creativity come about?

Early romantic concepts

(Reichenbach, 1958)

Context of discovery

Context of justification

Modern views on creativity

Conceptual Spaces (theory)

(Boden, 1994)

Klondyke spaces

(Perkins, 1994)

Two types of creativity

(Boden, 1994)

Psychological creativity

Historical creativity

Accidental historical reasons, however,  may make us to attribute discovery of a certain idea to one particular person

Exploration & exploitation

(James March, 1999)

Exploration

Exploitation

Finding of a productive balance between exploration and exploitation needed both at an individual and communal level.

The role of expertise

Tacit Knowledge

(Nonaka & Taceuchi, 1996)

Practise and rigidity

(Feltovich, Spiro, & Coulson, 1997)

Schemata and routine formation

Automatization

Functional fixation

Puzzle

Incubation effect

In many cases, when we are unsuccessfully trying to solve a problem, happens that after interrupting  our problem-solving efforts for a while, the solutions emerges almost immediately when we start to work with the problem again.

Unsuccessful attempt may repeatedly activate wrong associative networks within our mind that does not lead to the correct solution and prevent advancement of problem solving.

When we return to work with the problem after doing something else for a while, these network have lost their activation and it could spread along different more promising associative links.

Confirmation bias

We have a tendency to overestimate the strength of evidence that supports of own conceptions

People are attending mainly confirming evidence and ignoring disconfirming evidence

Rather than being more “critical” thinkers, many “creative” person are characterized by stubbornness

Together with self-confidence and exceptional-ly hard work this helps them to come up with the new insight.

Wason’S 2 4 6 task

  1. I have a rule in my mind that can be used to classify three whole numbers (a triple).
  2. We know that a triple 2 4 6 confirms (fits in) the rule.
  3. Your task is to discover the rule that I have in my mind by producing your own series of three whole numbers (triple).
  4. You may propose series of three numbers, and in each case I will say whether it fits in the rule or not.
  5. When you are sure what is the rule that is in my mind, please, speak up, and I will say whether it is correct of not.
  6. You are asked to propose the rule only after you are pretty sure that it is the rule in question.

Cognitive flexibility

(Feltovich, Spiro, & Coulson, 1997)

Bounded Rationality

(Simon, 1969)

Human beings have only limited cognitive resources

As a consequence, the actual problem situations are too complex for us to handle

Therefore, we are forced to work with simplified version of real-world problems

Reductive bias

(Feltovich, Spiro, & Coulson, 1997)

Models and rules learned early with simple situations (world one) no longer apply in more complex situations, but still cause the observer to reduce the problems to more simple than they actually are (e.g. reductive bias).

World One

World Two

Discontinuous Continuous
Static Dynamic
Sequential Sumultaneous
Mechanistic Organic
Separable Interactive
Universal Contextual
Homogeneous Heterogenous
Regular Irregular
Linear Nonlinear
Surface Deep
Single Multiple

Increasing Cognitive flexibility

Crystallized & fluid competence

Types of expertise

(Hatano & Iganaki, 1991)

Routine expertise

Adaptive expertise

Progressive problem solving

(Bereiter & Scardamalia, 1993)

Progressive problem solving is a process of generating expert knowledge through the continual reinvestment of mental resources into addressing problems at higher levels.

A characteristic of progressive problem solving is to undertake more and more challenging problems and to work at the edge of one's competence.

Flow experience

(Csikszentmihalyi, 1993)

Social dimensions of creativity

Co-Creation

Distributed cognition

Two metaphors of learning

(Sfard, 1998)


Acquisition metaphor
Participation metaphor
Goal
Individual enrichment
Community building
Learning aim
Acquisition of some (knowledge)
Becoming a participant of community
Learning role
Recipient or consumer of information
Perhipheral researcher, apprentice
Tutoring role
Facilitator, provider, mediator
Expert participant, support of discourse
Knowledge seen as
Property, possession, commodity
Aspect of practice, discourse or activity
Knowing (understanding) seen as
Having or possessing (in the head)
Practising, communicating, belonging (in the communit of practise)

Communities of practise

(Lave & Wenger, 1991)

Cognitive diversity

Knowledge exchange

Level of knowledge exchange is (weak or strong):
Weak
Strong
Information becomes
non-redundant
often asymmetrically exchanged
redundant
reciprocal
Knowledge is
simplified
often codified
usually complex
mostly non-codified
Communication is
thin
easy to understand
thick
expert discourse & script
Resources are
only a few
many and overlapping


Nature of ties

Boundary crossing

Knowledge-building community

(Bereiter & Scardamalia, 1993)