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An investigation into susceptibility to learn computational thinking in post-compulsory education / Ana Calderon; Tom Crick; Catherine Tryfona

Proceedings of International Conference on Computational Thinking Education 2017

Swansea University Author: Crick, Tom

Abstract

This paper presents the results of a preliminary investigation into how the teaching of computational thinking -- particularly algorithmic thinking and programming -- to university undergraduate students varies depending on aptitude and perceived enjoyment of STEM subjects during their secondary-lev...

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Published in: Proceedings of International Conference on Computational Thinking Education 2017
Published: Hong Kong The Education University of Hong Kong 2017
Online Access: https://www.eduhk.hk/cte2017/
URI: https://cronfa.swan.ac.uk/Record/cronfa43580
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first_indexed 2018-08-28T14:36:05Z
last_indexed 2018-09-20T12:56:28Z
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spelling 2018-09-20T11:08:55Z v2 43580 2018-08-28 An investigation into susceptibility to learn computational thinking in post-compulsory education Tom Crick Tom Crick true 0000-0001-5196-9389 false 200c66ef0fc55391f736f6e926fb4b99 9971fd6d74987b78a0d7fce128f8c721 z93Ri4T5hwMLTfh+6XG11n2HZhUyFASdV1DFdgIIhKs= 2018-08-28 EDUC This paper presents the results of a preliminary investigation into how the teaching of computational thinking -- particularly algorithmic thinking and programming -- to university undergraduate students varies depending on aptitude and perceived enjoyment of STEM subjects during their secondary-level (pre-university) education. We investigated a specific component of computational thinking, algorithmic thinking, comparing against a student's ability to develop knowledge and understanding of introductory programming. Conference contribution Proceedings of International Conference on Computational Thinking Education 2017 The Education University of Hong Kong Hong Kong Perceptions, Algorithmic thinking, Computational thinking, STEM 13 7 2017 2017-07-13 https://www.eduhk.hk/cte2017/ International Conference on Computational Thinking Education 2017 (CTE 2017) College of Arts and Humanities School of Education CAAH EDUC None None 2018-09-20T11:08:55Z 2018-08-28T11:59:52Z College of Science Computer Science Ana Calderon 1 Tom Crick 0000-0001-5196-9389 2 Catherine Tryfona 3 0043580-28082018120256.pdf CTE2017.pdf 2018-08-28T12:02:56Z Output 272830 application/pdf VoR true Updated Copyright 20/09/2018 2018-08-28T00:00:00 true eng
title An investigation into susceptibility to learn computational thinking in post-compulsory education
spellingShingle An investigation into susceptibility to learn computational thinking in post-compulsory education
Crick, Tom
title_short An investigation into susceptibility to learn computational thinking in post-compulsory education
title_full An investigation into susceptibility to learn computational thinking in post-compulsory education
title_fullStr An investigation into susceptibility to learn computational thinking in post-compulsory education
title_full_unstemmed An investigation into susceptibility to learn computational thinking in post-compulsory education
title_sort An investigation into susceptibility to learn computational thinking in post-compulsory education
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Crick, Tom
author Crick, Tom
author2 Ana Calderon
Tom Crick
Catherine Tryfona
format Conference contribution
container_title Proceedings of International Conference on Computational Thinking Education 2017
publishDate 2017
institution Swansea University
publisher The Education University of Hong Kong
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
url https://www.eduhk.hk/cte2017/
document_store_str 1
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description This paper presents the results of a preliminary investigation into how the teaching of computational thinking -- particularly algorithmic thinking and programming -- to university undergraduate students varies depending on aptitude and perceived enjoyment of STEM subjects during their secondary-level (pre-university) education. We investigated a specific component of computational thinking, algorithmic thinking, comparing against a student's ability to develop knowledge and understanding of introductory programming.
published_date 2017-07-13T22:09:54Z
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score 10.837508