Results 81 to 90 of about 28,710,991 (254)

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

, 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  

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

Arthritis 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, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Internal Medicine Clerkship Team-Based Learning Series: Chest Pain Module

MedEdPORTAL, 2012
This team-based learning (TBL) module on chest pain is designed to complement a clerkship in internal medicine for third-year medical students. It focuses on the common causes of chest pain, developing the differential diagnosis of chest pain, and the ...
Steven Bishop, Jeffrey Kushinka, Stephanie Call   +2 more
doaj   +1 more source

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

Arthritis 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, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

An Interprofessional Team-Based Learning Module in Quality Improvement Concepts

MedEdPORTAL, 2012
Nurses and physicians share responsibility for improving quality and safety in health care systems, which argues for shared learning about these concepts.
Paul Haidet, Robert Cherry, Mary Beth Clark, Sandra O'Sullivan, Chengwu Yang   +4 more
doaj   +1 more source

Generative Artificial Intelligence Utilization and Perspectives Among Reproductive‐Age Women With Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, EarlyView.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

PERUBAHAN PARADIGMA PEMBELAJARAN GEOGRAFI ABAD 21

Jambura Geo Education Journal
The team-based geography learning paradigm is very important in 21st century learning. Team-based geography learning is able to explore and overcome the limited ability of teachers in material that they do not master.
Hendra Hendra
doaj   +1 more source

Internal Medicine Clerkship Team-Based Learning Series: Abdominal Pain Module

MedEdPORTAL, 2012
This team-based learning (TBL) module on abdominal pain is designed to complement a clerkship in internal medicine for third-year medical students. It focuses on the common causes of abdominal pain, developing the differential diagnosis of abdominal pain,
Steven Bishop, Jeffrey Kushinka, Stephanie Call   +2 more
doaj   +1 more source

The team as a learning strategy: Three cases of team-based production in the Swedish manufacturing industry

, 2007
Purpose: To increase our understanding of how the introduction of a team-based work organization can affect the opportunities to learn at work two research questions are addressed: (a) what conditions are important for learning and competence development
Kock, Henrik, Kock, Henrik,
core   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source