On the reliability of classifying programming tasks using a Neo-Piagetian theory of cognitive development

Gluga, Richard, Kay, Judy, Lister, Raymond, & Teague, Donna M. (2012) On the reliability of classifying programming tasks using a Neo-Piagetian theory of cognitive development. In Clear, Alison, Sanders, Kate, & Simon, Beth (Eds.) Proceedings of The International Computing Education Research Conference, ACM, Auckland University of Technology, Auckland.

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Recent research has proposed Neo-Piagetian theory as a useful way of describing the cognitive development of novice programmers. Neo-Piagetian theory may also be a useful way to classify materials used in learning and assessment. If Neo-Piagetian coding of learning resources is to be useful then it is important that practitioners can learn it and apply it reliably. We describe the design of an interactive web-based tutorial for Neo-Piagetian categorization of assessment tasks. We also report an evaluation of the tutorial's effectiveness, in which twenty computer science educators participated. The average classification accuracy of the participants on each of the three Neo-Piagetian stages were 85%, 71% and 78%. Participants also rated their agreement with the expert classifications, and indicated high agreement (91%, 83% and 91% across the three Neo-Piagetian stages). Self-rated confidence in applying Neo-Piagetian theory to classifying programming questions before and after the tutorial were 29% and 75% respectively. Our key contribution is the demonstration of the feasibility of the Neo-Piagetian approach to classifying assessment materials, by demonstrating that it is learnable and can be applied reliably by a group of educators. Our tutorial is freely available as a community resource.

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3 citations in Scopus
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ID Code: 57674
Item Type: Conference Paper
Refereed: Yes
Keywords: Programming, Neo-Piagetian, learning standards, assessment, HERN
ISBN: 9781450316040
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Software Engineering (080309)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > EDUCATION SYSTEMS (130100)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > CURRICULUM AND PEDAGOGY (130200) > Science Technology and Engineering Curriculum and Pedagogy (130212)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 ACM
Copyright Statement: Permission to make digital or hard copies of all or part of this work for
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permission and/or a fee.
ICER’12, September 9–11, 2012, Auckland, New Zealand.
Copyright 2012 ACM 978-1-4503-1604-0/12/09 ...$10.00.
Deposited On: 28 Feb 2013 02:54
Last Modified: 03 Jul 2017 20:24

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