Abstract thinking: a predictor of modelling ability?

Patricia Roberts

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

In this paper, we describe a study of the abstract thinking skills of a group of students studying object-oriented modelling as part of a Masters course. Abstract thinking has long been considered a core skill for computer scientists. This study is part of attempts to gather evidence about the link between abstract thinking skills and success in the Computer Science discipline. The results of this study show a positive correlation between the scores of the students in the abstract thinking test with the marks achieved in the module. However, the small numbers in the study mean that wider research is needed.
Original languageEnglish
Title of host publicationEducators Symposium of the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems
Place of PublicationSwitzerland
PublisherSpringer
Pages753-754
Number of pages2
Volume5795
ISBN (Print)9783642044250
Publication statusPublished - 2009
EventEducators Symposium of the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems - Denver, Colorado, USA, October 4-9, 2009
Duration: 1 Jan 2009 → …

Publication series

NameLecture Notes in Computer Science

Conference

ConferenceEducators Symposium of the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems
Period1/01/09 → …

Keywords

  • Abstraction
  • modelling
  • computer science education

Fingerprint Dive into the research topics of 'Abstract thinking: a predictor of modelling ability?'. Together they form a unique fingerprint.

  • Cite this

    Roberts, P. (2009). Abstract thinking: a predictor of modelling ability? In Educators Symposium of the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems (Vol. 5795, pp. 753-754). (Lecture Notes in Computer Science). Springer.