Analysis of factors contributing to student engagement
dc.contributor.author | Caroni, Anna | |
dc.contributor.author | Nikoulina, Anya | |
dc.contributor.author | Staley, Larssyn | |
dc.date.accessioned | 2024-06-04T06:52:43Z | |
dc.date.available | 2024-06-04T06:52:43Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Learning engagement is a complex and multifaceted phenomenon. The ability to engage is not inherent but subject to a variety of factors. Motivational readiness as well as contextual factors, such as deep or surface learning approaches, are said to affect student engagement. In this study, we examine the relationship between student engagement and learning styles, as well as contextual factors, such as task types and assessment form and student employment outside the university. Based on a quantitative survey, we conclude that students’ ability to engage in deep learning is interrelated with their engagement, learning style and their motivation to start their studies. In addition, our findings indicate that student’s engagement in deep learning is driven by personal development, work ethic or learning strategy. The results of the study confirm that engagement is dependent on many factors, which must be understood and taken into consideration when teaching. | |
dc.event | CARF Luzern 2020 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/42744 | |
dc.language.iso | en | |
dc.spatial | Luzern | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Analysis of factors contributing to student engagement | |
dc.type | 06 - Präsentation | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of an abstract | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft | de_CH |
fhnw.affiliation.institut | Institut für Finanzmanagement | de_CH |
relation.isAuthorOfPublication | 3d8e8ba8-0221-42ba-b0d4-fda0ba6e2e37 | |
relation.isAuthorOfPublication | 839f54db-776c-4586-81b4-e8ed643b6a9f | |
relation.isAuthorOfPublication | 989dc605-8a61-4548-ab6e-2b2c35a81fdc | |
relation.isAuthorOfPublication.latestForDiscovery | 3d8e8ba8-0221-42ba-b0d4-fda0ba6e2e37 |
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