Evidence map›Paper›PMID 39186167›Full record

ArticleAdvances in health sciences education : theory and practice2025

More, better feedback please: are learning analytics dashboards (LAD) the solution to a wicked problem?

Simon Kitto, H L Michelle Chiang, Olivia Ng, Jennifer Cleland

Abstract read
In one paragraph

Article in Advances in health sciences education : theory and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Simon KittoLee Kong Chian School of Medicine, Nanyang Technological University, HQ Building, Novena Campus, 11 Mandalay Road, Singapore, 308232, Singapore.ORCID 0000-0002-3223-8123
H L Michelle ChiangLee Kong Chian School of Medicine, Nanyang Technological University, HQ Building, Novena Campus, 11 Mandalay Road, Singapore, 308232, Singapore.ORCID 0000-0001-6991-751X
Olivia NgLee Kong Chian School of Medicine, Nanyang Technological University, HQ Building, Novena Campus, 11 Mandalay Road, Singapore, 308232, Singapore.ORCID 0000-0001-7573-3725
Jennifer ClelandLee Kong Chian School of Medicine, Nanyang Technological University, HQ Building, Novena Campus, 11 Mandalay Road, Singapore, 308232, Singapore. Jennifer.cleland@ntu.edu.sg.ORCID 0000-0003-1433-9323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a long-standing lack of learner satisfaction with quality and quantity of feedback in health professions education (HPE) and training. To address this, university and training programmes are increasingly using technological advancements and data analytic tools to provide feedback. One such educational technology is the Learning Analytic Dashboard (LAD), which holds the promise of a comprehensive view of student performance via partial or fully automated feedback delivered to learners in real time. The possibility of displaying performance data visually, on a single platform, so users can access and process feedback efficiently and constantly, and use this to improve their performance, is very attractive to users, educators and institutions. However, the mainstream literature tends to take an atheoretical and instrumentalist view of LADs, a view that uncritically celebrates the promise of LAD's capacity to provide a 'technical fix' to the 'wicked problem' of feedback in health professions education. This paper seeks to recast the discussion of LADs as something other than a benign material technology using the lenses of Miller and Rose's technologies of government and Barry's theory of Technological Societies, where such technical devices are also inherently agentic and political. An examination of the purpose, design and deployment of LADs from these theoretical perspectives can reveal how these educational devices shape and govern the HPE learner body in different ways, which in turn, may produce a myriad of unintended- and ironic- effects on the feedback process. In this Reflections article we wish to encourage health professions education scholars to examine the practices and consequences thereof of the ever-expanding use of LADs more deeply and with a sense of urgency.

Indexed as

Educational TechnologyFeedbackFormative FeedbackLearningHumansDigital dashboardsEducational technologyFeedbackHealth professions educationLearning analytics

Identifiers

PMID39186167
PMCPMC11925967

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.