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Behavioural, cognitive and affective factors of student engagement: a multi-modal model

Amy Hegarty et al.

International Journal of Teaching and Case Studies2026https://doi.org/10.1504/ijtcs.2026.152377article
AJG 1
Weight
0.50

What the paper says

A gap in the research exists with the inability to clearly define student engagement and consequently develop appropriate metrics. It is important to measure and monitor student engagement and learning in an accurate and timely manner. In this study, data was extracted from the Irish Survey of Student Engagement (StudentSurvey.ie, 2022). Data analysis involved structural equation modelling and factor analysis. The outcome includes behavioural, cognitive and affective factors that shape a driven multi-modal method of measuring student engagement in higher education. The model can be used to support interventions, which aim to increase student productivity, interaction in classrooms, maintain motivation and guide policymakers.

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https://doi.org/https://doi.org/10.1504/ijtcs.2026.152377

Or copy a formatted citation

@article{amy2026,
  title        = {{Behavioural, cognitive and affective factors of student engagement: a multi-modal model}},
  author       = {Amy Hegarty et al.},
  journal      = {International Journal of Teaching and Case Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtcs.2026.152377},
}

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Behavioural, cognitive and affective factors of student engagement: a multi-modal model

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.