Kirwan, Colette ORCID: 0000-0003-3145-3574, Costello, Eamon ORCID: 0000-0002-2775-6006 and Donlon, Enda ORCID: 0000-0003-2817-9033 (2022) ADAPTTER: Developing a framework for teaching computational thinking in second‑level schools by design research. TechTrends, 66 . pp. 495-509. ISSN 8756-3894
Abstract
Computational Thinking (CT) is a problem-solving process applicable across all disciplines. It has been defined as a
21st-century skill (Wing, Communications of the ACM, 49(3), 33–35, 2006). Unfortunately, little pedagogical research is
available to guide teachers and designers when devising a CT course. This study addresses this issue by describing how
a framework to teach CT to second-level students evolved. This framework, ADAPTTER, has been shown to result in a
high quality, engaging, low threshold, effective, and practical course. A three-phase Educational Design Research study
was employed to develop this framework. It involved six schools, eleven teachers, four content experts, and 446 students.
Data was gathered using various means: teacher interviews and diaries, students' questionnaires, artefacts, and tests. The
ADAPTTER framework is offered as a way for teachers and researchers to design a CT course, understand its components
and have conversations around the same.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Computational thinking; Framework; Teaching; Learning; Second-level education; Educational designresearch |
Subjects: | Social Sciences > Education Social Sciences > Teaching |
DCU Faculties and Centres: | DCU Faculties and Schools > NIDL (National Institute for Digital Learning) DCU Faculties and Schools > Institute of Education > School of STEM Education, Innovation, & Global Studies |
Publisher: | Springer |
Official URL: | https://doi.org/10.1007/s11528-022-00735-8 |
Copyright Information: | © 2022The Authors. |
Funders: | Open Access funding provided by the IReL Consortium |
ID Code: | 27083 |
Deposited On: | 29 Apr 2022 13:12 by Thomas Murtagh . Last Modified 23 Mar 2023 15:10 |
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