No Cover Image

Conference Paper/Proceeding/Abstract 157 views

Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme

Olga Petrovska Orcid Logo, Lee Clift, Faron Moller Orcid Logo

UKICER '23: Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education

Swansea University Authors: Olga Petrovska Orcid Logo, Lee Clift, Faron Moller Orcid Logo

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.1145/3610969.3611132

Abstract

We describe insights gained from incorporating ChatGPT into assignments for our Software Engineering Degree Apprenticeship programme, including attitudes expressed by the learners and their employers regarding our approach.

Published in: UKICER '23: Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education
ISBN: 979-8-4007-0876-3
Published: New York, NY, USA ACM 2023
Online Access: http://dx.doi.org/10.1145/3610969.3611132
URI: https://cronfa.swan.ac.uk/Record/cronfa64736
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-11-08T14:25:16Z
last_indexed 2023-11-08T14:25:16Z
id cronfa64736
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>64736</id><entry>2023-10-13</entry><title>Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme</title><swanseaauthors><author><sid>3f0bf84d3c8d15113f3f0da0aab6b783</sid><ORCID>0000-0003-1170-8816</ORCID><firstname>Olga</firstname><surname>Petrovska</surname><name>Olga Petrovska</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>58d8505705a12aa26b51527e01bbd15a</sid><firstname>Lee</firstname><surname>Clift</surname><name>Lee Clift</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>bf25e0b52fe7c11c473cc48d306073f7</sid><ORCID>0000-0001-9535-8053</ORCID><firstname>Faron</firstname><surname>Moller</surname><name>Faron Moller</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-10-13</date><deptcode>SCS</deptcode><abstract>We describe insights gained from incorporating ChatGPT into assignments for our Software Engineering Degree Apprenticeship programme, including attitudes expressed by the learners and their employers regarding our approach.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>UKICER '23: Proceedings of the 2023 Conference on United Kingdom &amp; Ireland Computing Education</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher>ACM</publisher><placeOfPublication>New York, NY, USA</placeOfPublication><isbnPrint>979-8-4007-0876-3</isbnPrint><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Generative AI, Software Engineering, Education, Apprenticeships</keywords><publishedDay>7</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-09-07</publishedDate><doi>10.1145/3610969.3611132</doi><url>http://dx.doi.org/10.1145/3610969.3611132</url><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-11-28T17:14:28.5002956</lastEdited><Created>2023-10-13T11:57:53.3047359</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Olga</firstname><surname>Petrovska</surname><orcid>0000-0003-1170-8816</orcid><order>1</order></author><author><firstname>Lee</firstname><surname>Clift</surname><order>2</order></author><author><firstname>Faron</firstname><surname>Moller</surname><orcid>0000-0001-9535-8053</orcid><order>3</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 64736 2023-10-13 Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme 3f0bf84d3c8d15113f3f0da0aab6b783 0000-0003-1170-8816 Olga Petrovska Olga Petrovska true false 58d8505705a12aa26b51527e01bbd15a Lee Clift Lee Clift true false bf25e0b52fe7c11c473cc48d306073f7 0000-0001-9535-8053 Faron Moller Faron Moller true false 2023-10-13 SCS We describe insights gained from incorporating ChatGPT into assignments for our Software Engineering Degree Apprenticeship programme, including attitudes expressed by the learners and their employers regarding our approach. Conference Paper/Proceeding/Abstract UKICER '23: Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education ACM New York, NY, USA 979-8-4007-0876-3 Generative AI, Software Engineering, Education, Apprenticeships 7 9 2023 2023-09-07 10.1145/3610969.3611132 http://dx.doi.org/10.1145/3610969.3611132 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2023-11-28T17:14:28.5002956 2023-10-13T11:57:53.3047359 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Olga Petrovska 0000-0003-1170-8816 1 Lee Clift 2 Faron Moller 0000-0001-9535-8053 3
title Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
spellingShingle Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
Olga Petrovska
Lee Clift
Faron Moller
title_short Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
title_full Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
title_fullStr Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
title_full_unstemmed Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
title_sort Generative AI in Software Development Education: Insights from a Degree Apprenticeship Programme
author_id_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783
58d8505705a12aa26b51527e01bbd15a
bf25e0b52fe7c11c473cc48d306073f7
author_id_fullname_str_mv 3f0bf84d3c8d15113f3f0da0aab6b783_***_Olga Petrovska
58d8505705a12aa26b51527e01bbd15a_***_Lee Clift
bf25e0b52fe7c11c473cc48d306073f7_***_Faron Moller
author Olga Petrovska
Lee Clift
Faron Moller
author2 Olga Petrovska
Lee Clift
Faron Moller
format Conference Paper/Proceeding/Abstract
container_title UKICER '23: Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education
publishDate 2023
institution Swansea University
isbn 979-8-4007-0876-3
doi_str_mv 10.1145/3610969.3611132
publisher ACM
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1145/3610969.3611132
document_store_str 0
active_str 0
description We describe insights gained from incorporating ChatGPT into assignments for our Software Engineering Degree Apprenticeship programme, including attitudes expressed by the learners and their employers regarding our approach.
published_date 2023-09-07T17:14:29Z
_version_ 1783828755664338944
score 11.013371