Learning analytics in medical education assessment: the past, the present, and the future

T Chan, S Sebok‐Syer, B Thoma… - AEM Education and …, 2018 - Wiley Online Library
With the implementation of competency‐based medical education (CBME) in emergency
medicine, residency programs will amass substantial amounts of qualitative and quantitative …

Artificial intelligence in health professions education

PR Shankar - Archives of Medicine and Health Sciences, 2022 - journals.lww.com
Artificial intelligence (AI) is widely used in medicine. AI may provide low-cost solutions to
health problems and is especially important for develo** countries. Health-care …

Using longitudinal milestones data and learning analytics to facilitate the professional development of residents: early lessons from three specialties

ES Holmboe, K Yamazaki, TJ Nasca… - Academic …, 2020 - journals.lww.com
Purpose To investigate the effectiveness of using national, longitudinal milestones data to
provide formative assessments to identify residents at risk of not achieving recommended …

[HTML][HTML] Harnessing natural language processing to support decisions around workplace-based assessment: machine learning study of competency-based medical …

Y Yilmaz, A Jurado Nunez, A Ariaeinejad… - JMIR Medical …, 2022 - mededu.jmir.org
Background Residents receive a numeric performance rating (eg, 1-7 scoring scale) along
with a narrative (ie, qualitative) feedback based on their performance in each workplace …

The Quality of Assessment of Learning (Qual) score: validity evidence for a scoring system aimed at rating short, workplace-based comments on trainee performance

TM Chan, SS Sebok-Syer, C Sampson… - … and Learning in …, 2020 - Taylor & Francis
Construct: This study seeks to determine validity evidence for the Quality of Assessment for
Learning score (QuAL score), which was created to evaluate short qualitative comments that …

Nuance and noise: lessons learned from longitudinal aggregated assessment data

TM Chan, J Sherbino, M Mercuri - Journal of Graduate …, 2017 - meridian.allenpress.com
Background Competency-based medical education requires frequent assessment to tailor
learning experiences to the needs of trainees. In 2012, we implemented the McMaster …

Workplace‐based assessment data in emergency medicine: a sco** review of the literature

TM Chan, SS Sebok‐Syer, WJ Cheung… - AEM Education and …, 2021 - Wiley Online Library
Objective In the era of competency‐based medical education (CBME), the collection of more
and more trainee data is being mandated by accrediting bodies such as the Accreditation …

Towards an adaptive education through a machine learning recommendation system

O Embarak - … international conference on artificial intelligence in …, 2021 - ieeexplore.ieee.org
Educational institutions have a tremendous burden of handling students with low academic
performance (At-risk students). Many approaches support this group of pupils, such as …

Apply machine learning algorithms to predict at-risk students to admission period

O Embarak - 2020 Seventh International Conference on …, 2020 - ieeexplore.ieee.org
Educational organizations have a high burden of treating students with poor academic
success (At-risk students). Many methods are pursued to help this group of pupils, such as …

Implementation of learning analytics in medical education: Practical considerations

E Bilgic, DM Chen, T Chan - Fundamentals and Frontiers of …, 2024 - taylorfrancis.com
This book chapter explores learning analytics (LA) in the context of medical education. It
begins by establishing foundational aspects, defining learning and LA, and examining a …