Loading in 5 sec....

Skills and Competencies Monika Pilgerstorfer 5 April 2005PowerPoint Presentation

Skills and Competencies Monika Pilgerstorfer 5 April 2005

- 63 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about ' Skills and Competencies Monika Pilgerstorfer 5 April 2005' - chibale

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

### Skills and CompetenciesMonika Pilgerstorfer5 April 2005

Knowledge Space Theory

- Knowledge: solution behaviour
- Knowledge state: subset of problems a person is able to solve
- Knowledge space: set of all possible knowledge states

Extensions of Knowledge Space Theory

Latent cognitive structures underlying

knowledge spaces

- Skills (Falmagne; Doignon; Düntsch & Gediga)
- Components and Attributes, Demand Analysis (Albert & Held)
- Cognitive Processes (Schrepp)
- Competence-Performance Approach (Korossy)

Basics

- Set S of skills that are necessary for answering certain problems.
- For each problem q Q there exists a subset f(q) S of skills that are sufficient for solving the problem.

Skill function

- assign to each problem the skills required for solving this problem
- Competencies
= sets of skills sufficient to solve a problem

Problem function

- Set of skills (S)
- Set of problems (Q)
- assigns to each set of skills the set of problems, which can be solved in it

Competencies

a

{1,2,4}, {3,4}

b

{1,2}

Competencies

Problems

c

{3}

{1,2,4}

{a,b}

d

{3,5}

{1,2}

{b}

{3}

{c}

{3,5}

{c,d}

{3,4}

{a,c}

Problem functionProblems

{1,2,4}

{a,b}

{1,2}

{b}

{3}

{c}

a

d

{3,5}

{c,d}

b

c

{3,4}

{a,c}

Example: problem functionv

K = {, {b}, {c}, {a, b}, {a, c}, {b, c}, {c, d}, {a, b, c}, {a, c, d}, {b, c, d}, {a, b, c, d}}

Knowledge State

- A subset K of problems is a knowledge state if and only if there is a subset M of skills such that K contains all those problems having at least one competency included in M and only those problems.

Special cases

- disjunctive model:
only one of the skills attached to a problem q suffices to solve this problem

- conjunctive model:
all the skills assigned to a problem q are required for mastering this problem

Competence-Performance Approach

- Extension:
competence structure on a set of skills

Competence-Performance Approach

- Performance:
observable solution behaviour

- Competence:
underlying construct explaining performance

Competence-Performance Approach

- Performance structure (A, P)
A ... finite, non-empty set of problems

P ... family of subsets of problems A

Competence-Performance Approach

- Competence structure (E, K)
E ... finite, non-empty set of elementary competences

K ... family of subsets of elementary competences E

Interpretation function

assigns to each problem a problem-specific set of competence states which are elements of the competence structure

Representation function

assigns to each competence state the set of problems solvable in it

Surmise function

- Subsets of competencies
- Extract subsets that are minimal concerning the subset relation
- Minimal: not subset of each other

Surmise function

B(K) = K, H, P,K, P,H, P,A, K,A, H,A,

K,Z, H,Z, P,K,T,A, K,H,T,A

Exercise - competencies

Suggested competencies:

4

3

2

1

ExerciseFind the possible competence states and the competence-

structure for the following surmise function!

4

3

2

1

Exercise – Competence states{ }

{1}

{2}

{1,2}

{1,2,3}

{1,2,4}

{1,2,3,4}

{1,2,3,5}

{1,2,4,5}

{1,2,3,4,5}

Exercise

Find the surmise function on the problems, based on the

information of the Interpretation function!

References

- Albert, D., & Held, T. (1999). Component Based Knowledge Spaces in Problem Solving and Inductive Reasoning. In D. Albert & J. Lukas (Eds.), Knowledge Spaces: Theories, Empirical Research Applications (pp. 15–40). Mahwah, NJ: Lawrence Erlbaum Associates.
- Düntsch, I. & Gediga, G. (1995). Skills and knowledge structures. British Journal of Mathematical and Statistical Psychology, 48 ,9-27.
- Falmagne, J.-C., Doignon, J.-P., Villano, M., Koppen, M. & Johannesen, L. (1990). Introduction to knowledge spaces: How to build, test and search them. Psychological Review, Vol.97, No.2, 201-204.

References

- Korossy, K. (1996). A qualitative-structural approach to the modelling of knowledge. Report of the Institute of Psychology, Universität Heidelberg.
- Korossy, K. (1997). Extending the theory of knowledge spaces: a competence-performance approach. Zeitschrift für Psychologie 205, 53-82

Download Presentation

Connecting to Server..