Authors:
Peter Hubwieser
and
Andreas Mühling
Affiliation:
Technische Universität München, Germany
Keyword(s):
Knowledge patterns, Knowledge mining, Concept maps, Declarative knowledge, Computer science education.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Concept Mining
;
Context Discovery
;
Data Analytics
;
Data Engineering
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mining High-Dimensional Data
;
Structured Data Analysis and Statistical Methods
;
Symbolic Systems
Abstract:
In order to better understand the structure of students’ knowledge in computer science, we are trying to identify patterns – in form of frequently occurring subgraphs – in concept maps. Concept maps are an exter-nalization of a person’s declarative knowledge represented as a graph. We propose an algorithm that can be employed to identify frequently occurring subgraphs, based on existing algorithms in that field. We are cur-rently working on a project that will gather concept maps form a large group of freshman in the coming semesters, providing us with extensive material for information mining about the structures of knowledge in CS. We hope to get a better understanding of the relationship between knowledge and competence.