Publicação
Programmers’ affinity to languages
| dc.contributor.author | Costa Neto, Alvaro | |
| dc.contributor.author | Araújo, Cristiana | |
| dc.contributor.author | Pereira, Maria João | |
| dc.contributor.author | Henriques, Pedro Rangel | |
| dc.date.accessioned | 2021-11-04T12:28:43Z | |
| dc.date.available | 2021-11-04T12:28:43Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Students face several challenges when learning computer programming languages, a central topic to acquire programming skills. While those challenges that present a predominantly technical nature have been intensely studied by researchers along the years, the ones that are concerned with qualitative, and personal aspects have not. Affinity to a programming language is one of the many personal factors that may contribute to surpass these qualitative aspects that describe the difficulties that students face. From this point-of-view, this paper presents a proposal for treating and studying programmers’ affinity to programming languages as an important factor for learning computer programming. It also reports a preliminary questionnaire conducted on a master’s degree class at Universidade do Minho that showed that affinity may have a broader relation to learning computer programming than anticipated. Finally, a set of relevant questions are stated to compose a future inquiry aimed at deepening the knowledge on the affinity between programmers and languages, paving the way for following research. | pt_PT |
| dc.description.sponsorship | This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Costa Neto, Alvaro; Araújo, Cristiana; Pereira, Maria João; Henriques, Pedro (2021). Programmers’ affinity to languages. In Second International Computer Programming Education Conference (ICPEC 2021). p. 1-7. ISBN 978-395977194-8 | pt_PT |
| dc.identifier.doi | 10.4230/OASIcs.ICPEC.2021.3 | pt_PT |
| dc.identifier.isbn | 978-395977194-8 | |
| dc.identifier.uri | http://hdl.handle.net/10198/24157 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | OASICs | pt_PT |
| dc.relation | ALGORITMI Research Center | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Computer programming | pt_PT |
| dc.subject | Programming languages | pt_PT |
| dc.subject | Affinity | pt_PT |
| dc.subject | Education | pt_PT |
| dc.subject | Learning | pt_PT |
| dc.title | Programmers’ affinity to languages | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/00319/2020 | |
| oaire.awardTitle | ALGORITMI Research Center | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | |
| oaire.citation.conferencePlace | online | pt_PT |
| oaire.citation.title | Second International Computer Programming Education Conference (ICPEC 2021) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Pereira | |
| person.givenName | Maria João | |
| person.identifier.ciencia-id | C912-4A49-A3B3 | |
| person.identifier.orcid | 0000-0001-6323-0071 | |
| person.identifier.rid | G-5999-2011 | |
| person.identifier.scopus-author-id | 13907870300 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | a20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2 | |
| relation.isAuthorOfPublication.latestForDiscovery | a20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2 | |
| relation.isProjectOfPublication | 0d98f999-8fd3-46a8-8a71-a7ff478a1207 | |
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