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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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 (Unpublished)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)

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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More Information

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

Users with ORCIDS

ORCID for Kate Newby: ORCID iD orcid.org/0000-0003-4844-8333
ORCID for Amanda Lee: ORCID iD orcid.org/0009-0005-4986-3581

Catalogue record

Date Deposited: 19 Dec 2024 10:21
Last Modified: 19 Dec 2024 10:21

Contributors

Author: Kate Newby ORCID iD
Author: Amanda Lee ORCID iD

University Divisions

Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences

Subjects

Education > Higher Education
Education > Learning Technology
Sciences > Nursing

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