Enhancing Student Success through Predictive Analytics, Targeted Interventions and Impactful Solutions
Newby, Kate and Lee, Amanda (2024) Enhancing Student Success through Predictive Analytics, Targeted Interventions and Impactful Solutions. In: 3rd International Online Conference of Health Workforce Education., 9/1/2025, Online. (Unpublished)
Item Type: | Conference or Workshop Item (Keynote) |
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Abstract
Introduction:
In a time of unprecedented global challenges, including the aftermath COVID-19 pandemic, the cost-of-living crisis, and international uncertainty, universities must support students through some of the most difficult periods of their lives.
At the University of Sunderland we have a commitment to addressing the unique challenges faced by healthcare students. Data from the Higher Education Policy Institute (HEPI) shows that, on average, students work 15 hours a week in addition to their studies (HEPI 2024), but for healthcare students, they often face even greater demands. We know that nursing, midwifery, and allied health students face a particularly demanding workload, balancing academic studies with demanding clinical placements.
The cost-of-living crisis has a significant impact on our students (HEPI 2024), particularly in the North of England. From our previous work we have identified that whilst a strong widening participation agenda has been integral to increasing access for diverse stud
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Depositing User: Kate Newby |
Identifiers
Item ID: 18595 |
URI: http://sure.sunderland.ac.uk/id/eprint/18595 | Official URL: https://inhwe.org/programme-online-2025 |
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Catalogue record
Date Deposited: 19 Dec 2024 10:21 |
Last Modified: 19 Dec 2024 10:21 |
Author: | Kate Newby |
Author: | Amanda Lee |
University Divisions
Faculty of Health Sciences and Wellbeing > School of Nursing and Health SciencesSubjects
Education > Higher EducationEducation > Learning Technology
Sciences > Nursing
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