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Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item

Kelly Linden · STARS Conference · 2022

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The Charles Sturt University Retention Team has developed, tested, evaluated, and refined a retention model through 14 action-research cycles from 2017-2021. The project has expanded from a small pilot in one faculty to monitoring the engagement and submission of an early assessment item for over 70% of all commencing undergraduate students across the University. The Retention Model synergistically overlays curriculum design and student support and ensures academics embed best practice transition pedagogy and learning engagement activities into key first-year subjects. By monitoring the submission of early assessment items, the team can accurately identify and proactively contact students who are not engaged in their studies prior to their first census date. Every aspect of this program supports equity student groups that are over-represented at our regional university. This work has significantly improved commencing progress rates across the institution.

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APA 7

Linden, K. (2022). Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item. https://doi.org/10.5204/ssj.2152

MLA

Linden, Kelly. "Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item." 2022. https://doi.org/10.5204/ssj.2152.

Chicago

Linden, Kelly. 2022. "Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item.". https://doi.org/10.5204/ssj.2152.

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Linden, K. 2022, Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item, STARS Conference, available at: https://doi.org/10.5204/ssj.2152 [Accessed 5 Aug. 2026].

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Título
Improving Student Retention by Providing Targeted Support to University Students who do not Submit an Early Assessment Item
Autor / colaboradores
Kelly Linden
Editorial
STARS Conference
Año de publicación
2022
ISSN
2205-0795
ISSN
2205-0795
Idioma
Inglés

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