ArticleAEM education and training2018
Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future.
Article in AEM education and training, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of the flipped classroom in medical education: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Research Trends in Medical and Dental Education (2015-2024) Based on Author Keywords: Commonalities, Differences, and Opportunities for Collaboration.Journal of dental education · 2026Review
- Learning Analytics of a National Entrustable Professional Activities Platform: Cross-Sectional Study of System-Level Constraints on Advanced Entrustment in Competency-Based Medical Education.JMIR medical education · 2026Article
- Design thinking for transforming preclinical education: efficacy and implementation of a blended learning model in histology and embryology.BMC medical education · 2026Article
- Article
- Bridging the mentorship divide: how large language models could reshape medical workforce equity.NPJ digital medicine · 2026Article
- Reframing Validity: How Values Shape Assessment in Postgraduate Medical Education.Perspectives on medical education · 2026Article
- Review
- The role of medical regulations and medical regulators in fostering the use of eHealth data for strengthened continuing professional development (CPD): a document analysis with key informants' interviews.BMC medical education · 2025Article
- Resident clinical dashboards to support precision education in emergency medicine.AEM education and training · 2025Review
- More, better feedback please: are learning analytics dashboards (LAD) the solution to a wicked problem?Advances in health sciences education : theory and practice · 2025Article
- Exploring the Transformative Potential of Learning Analytics in Medical Education: A Systematic Review.Journal of advances in medical education & professionalism · 2025Review
- Looking Back on Digital Medical Education Over the Last 25 Years and Looking to the Future: Narrative Review.Journal of medical Internet research · 2024Review
- Metaverse-based simulation: a scoping review of charting medical education over the last two decades in the lens of the 'marvelous medical education machine'.Annals of medicine · 2024Article
- Using machine learning to identify key subject categories predicting the pre-clerkship and clerkship performance: 8-year cohort study.Journal of the Chinese Medical Association : JCMA · 2024Article
- Using learning analytics in clinical competency committees: Increasing the impact of competency-based medical education.Medical education online · 2023Article
- Effectiveness and learning experience from undergraduate nursing students in surgical nursing skills course: a quasi- experimental study about blended learning.BMC nursing · 2023Article
- Empowering Health Care Education Through Learning Analytics: In-depth Scoping Review.Journal of medical Internet research · 2023Article
- Evolution in Congenital Cardiology Education: The Rise of Digital-Learning Tools.CJC pediatric and congenital heart disease · 2023Review
- Embracing our responsibility to ensure trainee competency.AEM education and training · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the implementation of competency-based medical education (CBME) in emergency medicine, residency programs will amass substantial amounts of qualitative and quantitative data about trainees' performances. This increased volume of data will challenge traditional processes for assessing trainees and remediating training deficiencies. At the intersection of trainee performance data and statistical modeling lies the field of medical learning analytics. At a local training program level, learning analytics has the potential to assist program directors and competency committees with interpreting assessment data to inform decision making. On a broader level, learning analytics can be used to explore system questions and identify problems that may impact our educational programs. Scholars outside of health professions education have been exploring the use of learning analytics for years and their theories and applications have the potential to inform our implementation of CBME. The purpose of this review is to characterize the methodologies of learning analytics and explore their potential to guide new forms of assessment within medical education.
Identifiers
What OpenQuestion holds
Registered trials
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.