Explainable learning analytics to identify disengaged students early in semester

An Intervention Supporting Widening Participation

Datos Bibliográficos

ID4546014
AutoresKelly Linden (0000-0002-4481-5426, Office of the Deputy Vice-Chancellor Academic, Charles Sturt University Thurgoona, Albury, Australia, autor de correspondencia), Neil Van Der Ploeg (0000-0001-8660-6588, Charles Sturt University), Nataliya Roman (0000-0003-0856-2131, Charles Sturt University)
Año2023
Volumen45
Número6
Páginas626-640
Fecha de publicación2023-11-02
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Higher Education Policy and Management (JOURNAL)
Identificadores de la revistaISSN: 1360-080X • E-ISSN: 1469-9508
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1360080x.2023.2212418
OpenAlexW4376143209
IdiomaEN
Citas recibidas4
Referencias citadas19

There is a small window of opportunity at the beginning of semester for a university to provide commencing students with timely and targeted support. However, there is limited information available on interventions that identify and support disengaged students from equity groups without using equity group status as the basis for the contact. The aim of this study was to use learning analytics that were explainable to the end users to identify and support commencing undergraduate students at an Australian regional university. Non-submission of an early assessment item accurately identified disengaged students and those students with successful dialogue with the Outreach Team were less likely to receive a failing grade. Analysis of intersectionality revealed that student progress rate decreased with additional equity factors. A holistic conversation with the Outreach Team increased retention for equity students the following semester, indicating that explainable learning analytics can be used to support equity students

Analytics · Data science · Equity (law · Higher education · Learning analytics · Mathematics education · Medical education · Outreach · Political science · Psychological intervention · Computer Science · Disability Education and Employment · Higher Education Research Studies · Medicine · Online Learning and Analytics · Psychology