Aggregating concept map data to investigate the knowledge of beginning CS students. Issue 2 (2nd July 2016)

• Record Type: Journal Article
• Authors: Mühling, Andreas
• Is Part Of: Computer science education. Volume 26:Issue 2/3(2016)
• Page Start: 176
• Page End: 191
• Publication Date: 2016-07-02
• Subjects: Concept maps -- Pathfinder networks -- knowledge structures -- cluster analysis -- educational data mining -- OOP; Computer science -- Study and teaching -- Periodicals; 004
• DOI: 10.1080/08993408.2016.1241340
• Languages: English
• ISSNs: 0899-3408

Abstract

Abstract: Concept maps have a long history in educational settings as a tool for teaching, learning, and assessing. As an assessment tool, they are predominantly used to extract the structural configuration of learners' knowledge. This article presents an investigation of the knowledge structures of a large group of beginning CS students. The investigation is based on a method that collects, aggregates, and automatically analyzes the concept maps of a group of learners as a whole, to identify common structural configurations and differences in the learners' knowledge. It shows that those students who have attended CS education in their secondary school life have, on average, configured their knowledge about typical core CS/OOP concepts differently. Also, artifacts of their particular CS curriculum are visible in their externalized knowledge. The data structures and analysis methods necessary for working with concept landscapes have been implemented as a GNU R package that is freely available.