Use of Learner Engagement Analytics to empower medical educators to make data-informed decisions

Learner Engagement Analytics (LEA) has enabled Higher Education Institutions (HEIs) to identify learners who are not engaging with their studies and provide targeted support and help (Naeem and Bosman, 2023). It has also allowed educators to make data-informed decisions to inform their curriculum design and classroom practice (Cogliano et al., 2022). The LEA data is captured from a wide range of sources related to teaching and learning which offer meaningful insights into a learner’s learning habits (Eady et al., 2021). Previous research suggests that providing learning analytics to educators in Higher Education Institutions can improve learning outcomes for students (Aslan et al., 2019). At Queen Mary University of London, a multidisciplinary team was formed of medical educators, LEA experts, learning technologists, and learning innovation professionals to investigate how LEA can inform curriculum redesign in the early phase of the medical curriculum. Through a series of scholarship meetings on LEA using data dashboards from the Virtual Learning Environment (VLE), the team analysed learners’ engagement with the virtual pre-sessional resources. The VLE interactive resources were designed to allow medical learners to develop clinical interpretation skills during practical sessions, as recommended by the General Medical Council (GMC, 2018). However, medical educators lacked the metrics to evaluate learners’ interaction with these virtual resources. Therefore, it was inevitable to train educators on how to use LEA to optimise students’ learning. The team assessed the learners' engagement on the VLE, quantified engagement scores, and evaluated the results against key outcomes, including the learners' performance. The LEA data offered further insights into virtual engagement across multiple modules in the medical curriculum. Effectively, the outcome of this work empowered medical educators to make informed decisions regarding the future use of VLE resources in curriculum design and develop virtual resources to increase students’ engagement and enhance their learning.

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Publication Details

Journal
Journal of Learning Development in Higher Education
Published
2024-10-31
DOI
https://doi.org/10.47408/jldhe.vi32.1427
Primary Topic
Online Learning and Analytics
Type
article
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article

Use of Learner Engagement Analytics to empower medical educators to make data-informed decisions

Usman Naeem, Matthew R. Simmons, Lujain Alsadder, Graeme Hathaway
Journal of Learning Development in Higher Education
Online Learning and Analytics
article

Use of Learner Engagement Analytics to empower medical educators to make data-informed decisions

Usman Naeem, Matthew R. Simmons, Lujain Alsadder, Graeme Hathaway
article en

Abstract

Learner Engagement Analytics (LEA) has enabled Higher Education Institutions (HEIs) to identify learners who are not engaging with their studies and provide targeted support and help (Naeem and Bosman, 2023). It has also allowed educators to make data-informed decisions to inform their curriculum design and classroom practice (Cogliano et al., 2022). The LEA data is captured from a wide range of sources related to teaching and learning which offer meaningful insights into a learner’s learning habits (Eady et al., 2021). Previous research suggests that providing learning analytics to educators in Higher Education Institutions can improve learning outcomes for students (Aslan et al., 2019). At Queen Mary University of London, a multidisciplinary team was formed of medical educators, LEA experts, learning technologists, and learning innovation professionals to investigate how LEA can inform curriculum redesign in the early phase of the medical curriculum. Through a series of scholarship meetings on LEA using data dashboards from the Virtual Learning Environment (VLE), the team analysed learners’ engagement with the virtual pre-sessional resources. The VLE interactive resources were designed to allow medical learners to develop clinical interpretation skills during practical sessions, as recommended by the General Medical Council (GMC, 2018). However, medical educators lacked the metrics to evaluate learners’ interaction with these virtual resources. Therefore, it was inevitable to train educators on how to use LEA to optimise students’ learning. The team assessed the learners' engagement on the VLE, quantified engagement scores, and evaluated the results against key outcomes, including the learners' performance. The LEA data offered further insights into virtual engagement across multiple modules in the medical curriculum. Effectively, the outcome of this work empowered medical educators to make informed decisions regarding the future use of VLE resources in curriculum design and develop virtual resources to increase students’ engagement and enhance their learning.

Journal of Learning Development in Higher Education(32)
Queen Mary University of London (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Online Learning and Analytics
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