Logo do repositório
 
Publicação

How students feel and behave in Statistics: Predicting procrastination and performance

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorSilva, Osvaldo
dc.contributor.authorSousa, Áurea
dc.contributor.editorIATED
dc.date.accessioned2026-06-17T11:28:46Z
dc.date.available2026-06-17T11:28:46Z
dc.date.issued2026-03
dc.description.abstractABSTRACT: Statistics education plays a crucial role in the development of scientific literacy across diverse academic fields, yet many university students experience difficulties associated with low self-efficacy, anxiety, and negative attitudes towards statistics. These affective and motivational factors influence engagement, procrastination, and academic performance, forming a complex network of relationships that remains underexplored in integrated models. This study examined the effects of self-efficacy, statistics anxiety, attitudes towards statistics, engagement in statistics, procrastination, and perceived academic performance using a structural equation modelling approach (PLS-SEM). A sample of 668 Portuguese university students completed a questionnaire comprising these six validated constructs and some sociodemographic variables. Of the twelve hypotheses tested, seven were supported—five direct effects and two indirect effects. Statistics anxiety had a strong positive impact on procrastination, while more favourable attitudes towards statistics significantly reduced anxiety and enhanced engagement and perceived academic performance. Procrastination negatively affected academic performance. Additionally, attitudes influenced performance indirectly through sequential mediation by anxiety and procrastination, and procrastination mediated the impact of anxiety on performance. These findings highlight the central role of attitudes, the detrimental effects of anxiety, and the behavioural consequences of procrastination in shaping students’ learning outcomes. The study underscores the need for pedagogical strategies that foster positive attitudes, reduce anxiety, support engagement, and promote effective self-regulation in statistics education.eng
dc.identifier.citationSilva, O., Nunes, J., & Sousa, Á. (2026). How students feel and behave in Statistics: Predicting procrastination and performance. INTED2026 Proceedings. Article 2259. ISBN: 978-84-09-82385-7. doi: https://doi.org/10.21125/inted.2026.2259
dc.identifier.doihttps://doi.org/10.21125/inted.2026.2259
dc.identifier.isbn978-84-09-82385-7
dc.identifier.urihttp://hdl.handle.net/10400.3/8984
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIATED
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectStatistics anxiety
dc.subjectAttitudes towards statistics
dc.subjectEngagement
dc.subjectProcrastination
dc.subjectAcademic performance
dc.subjectPLS-SEM
dc.subjectHigher education
dc.titleHow students feel and behave in Statistics: Predicting procrastination and performancepor
dc.typeconference proceedings
dspace.entity.typePublication
oaire.citation.titleINTED2026 Proceedings
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Silva_etal_2026_article_2259.pdf
Tamanho:
205.54 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.73 KB
Formato:
Item-specific license agreed upon to submission
Descrição: