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Conference Paper/Proceeding/Abstract 168 views 17 downloads

An investigation into susceptibility to learn computational thinking in post-compulsory education / Tom, Crick

Proceedings of International Conference on Computational Thinking Education 2017

Swansea University Author: Tom, Crick

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
id cronfa43580
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spelling 2018-09-20T11:08:55.8334133 v2 43580 2018-08-28 An investigation into susceptibility to learn computational thinking in post-compulsory education 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 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 Paper/Proceeding/Abstract 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 NANME School of Education COLLEGE CODE EDUC Swansea University 2018-09-20T11:08:55.8334133 2018-08-28T11:59:52.7664914 College of Science Computer Science Ana Calderon 1 Tom Crick 0000-0001-5196-9389 2 Catherine Tryfona 3 0043580-28082018120256.pdf CTE2017.pdf 2018-08-28T12:02:56.4270000 Output 272830 application/pdf Version of Record true 2018-08-28T00:00:00.0000000 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
Tom, Crick
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_***_Tom, Crick
author Tom, Crick
format Conference Paper/Proceeding/Abstract
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/
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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 2017-07-13T04:10:22Z
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score 10.74279