Results 91 to 100 of about 28,711,041 (283)

The effects of team-based learning on learning outcomes in a course of rheumatology

open access: yesJournal of Advances in Medical Education and Professionalism, 2018
Introduction: We evaluated the effects of implementing Team- Based Learning (TBL) on student engagement, accountability, satisfaction, and preference for lecture or team-based learning.
SEYEDEH TAHEREH FAEZI   +4 more
doaj  

Promoting the use of technical standards inindustry-oriented engineering education

open access: yesПедагогически форум, 2019
The role of technical standards (TS) has become increasingly important for engineering over the past years. Nowadays, undergraduates are not only our future colleagues in industry and academia, but they also constitute the future workforce of a very ...
Oscar Bonastre, Alejandro Bia
doaj   +1 more source

A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham   +7 more
wiley   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

open access: yesArthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart   +5 more
wiley   +1 more source

Back to the future: Team‐centred, resource‐based learning as the antecedent of computer‐based learning [PDF]

open access: yes, 1998
In this paper, I argue that gains can be made in both staff efficiency and educational value by replacing the traditional lecture/practical format of higher‐education courses with a new format involving team‐centred, resource‐based learning (RBL).
James E. Cresswell, Cresswell, James
core   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

How Team-Based Learning (TBL) can transform your classroom

open access: yes, 2017
Professor Elgin Johnston and Senior Lecturer Heather Bolles, Mathematics, share their journey reformatting how calculus is taught at ISU.Participants will leave this session understanding ways TBL can change their classrooms, prepared to apply for TBL ...
Johnston, Elgin, Bolles, Heather
core  

Using team-based revision to prepare medical students for the prescribing safety assessment

open access: yesAdvances in Medical Education and Practice, 2019
Samantha M Field, Nicholas J Burstow, David R Owen, Amir H SamMedical Education Research Unit, Imperial College London, London, UKBackground: The Prescribing Safety Assessment (PSA) is an online assessment of safe and effective prescribing, taken by ...
Field SM, Burstow NJ, Owen DR, Sam AH
doaj  

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein   +3 more
wiley   +1 more source

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