TY - GEN
T1 - A periodic table of computing education learning theories
AU - Szabo, Claudia
AU - Falkner, Nickolas
AU - Petersen, Andrew
AU - Bort, Heather
AU - Connolly, Cornelia
AU - Cunningham, Kathryn
AU - Donaldson, Peter
AU - Hellas, Arto
AU - Robinson, James
AU - Sheard, Judy
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/7/2
Y1 - 2019/7/2
N2 - Computing education research is built on the use of suitable methods within appropriate theoretical frameworks to provide guidance and solutions for our discipline, in a way that is rigorous and repeatable. However, the scale of theory covered extends well beyond the CS discipline and includes educational theory, behavioural psychology, statistics, economics, and game theory, among others. A computing education researcher’s journey towards appropriate and discipline relevant theory can be challenging and, when a researcher has learned one area of theory, it can be easy to return to familiar theory, as it may not be clear what the next step could be. The periodic table is a visual arrangement of the elements to group like with like, providing insight into how families of elements will react. Could we do the same with learning theories located in the domain of computer science education, and would it be useful? The working group will identify and survey existing literature on relationships between key areas of theory in computing education, identify ways of organising these research areas to show how knowledge of one could assist another, and produce initial graphical representations of theory and their relationship groupings to assist researchers in understanding how computing theory is currently used in the discipline and what theories might become of interest.
AB - Computing education research is built on the use of suitable methods within appropriate theoretical frameworks to provide guidance and solutions for our discipline, in a way that is rigorous and repeatable. However, the scale of theory covered extends well beyond the CS discipline and includes educational theory, behavioural psychology, statistics, economics, and game theory, among others. A computing education researcher’s journey towards appropriate and discipline relevant theory can be challenging and, when a researcher has learned one area of theory, it can be easy to return to familiar theory, as it may not be clear what the next step could be. The periodic table is a visual arrangement of the elements to group like with like, providing insight into how families of elements will react. Could we do the same with learning theories located in the domain of computer science education, and would it be useful? The working group will identify and survey existing literature on relationships between key areas of theory in computing education, identify ways of organising these research areas to show how knowledge of one could assist another, and produce initial graphical representations of theory and their relationship groupings to assist researchers in understanding how computing theory is currently used in the discipline and what theories might become of interest.
KW - Computing education
KW - Epistemology
KW - Learning theory
UR - http://www.scopus.com/inward/record.url?scp=85070924032&partnerID=8YFLogxK
U2 - 10.1145/3304221.3325534
DO - 10.1145/3304221.3325534
M3 - Conference Publication
T3 - Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
SP - 269
EP - 270
BT - ITiCSE 2019 - Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education
PB - Association for Computing Machinery
T2 - 2019 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2019
Y2 - 15 July 2019 through 17 July 2019
ER -