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From One Language to the Next: Applications of Analogical Transfer for Programming Education

Authors :
Kao, Yvonne
Matlen, Bryan
Weintrop, David
Source :
ACM Transactions on Computing Education. Dec 2022 22(4).
Publication Year :
2022

Abstract

The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials and teacher professional development materials based on theories of learning, to some success. In this paper, we follow a similar approach by highlighting common areas of interest between computer science education and cognitive psychology--specifically theories of analogical transfer--and discuss how cross-pollination of theoretical constructs between disciplines can support research on the teaching and learning of multiple programming languages. We will also discuss areas where computing education research can adapt the existing theories from cognitive psychology to develop domain-specific theories of knowledge transfer in computing and feed back into cognitive psychology research to inform larger debates about the nature of cognition and learning.

Details

Language :
English
ISSN :
1946-6226
Volume :
22
Issue :
4
Database :
ERIC
Journal :
ACM Transactions on Computing Education
Publication Type :
Academic Journal
Accession number :
EJ1380726
Document Type :
Journal Articles<br />Reports - Descriptive
Full Text :
https://doi.org/10.1145/3487051