Suchergebnisse - "Stegemann-Philipps C"

Educational technology and assessment: a comprehensive bibliometric analysis (2010–2024).

Autoren: Fiskawarni, Tri Hastiti Nurfadilah, Nurfadilah Saad, Rezkawati et al.

Quelle: Discover Education; 10/24/2025, Vol. 4 Issue 1, p1-16, 16p

Schlagwörter: EDUCATIONAL technology, AUGMENTED reality, ARTIFICIAL intelligence, BIBLIOMETRICS, GAMIFICATION, DIGITAL technology, EDUCATIONAL evaluation, COVID-19 pandemic

Geografische Kategorien: UNITED States

Exploring the Use of a Large Language Model in Simulation Debriefing: An Observational Simulation-Based Pilot Study.

Autoren: Hong, Eury Kazmir, Sundes Dylik, Benjamin et al.

Quelle: Simulation in Healthcare; Dec2025, Vol. 20 Issue 6, p366-371, 6p

Using Large Language Models to Simulate History Taking: Implications for Symptom-Based Medical Education.

Autoren: Huh, Cheong Yoon Lee, Jongwon Kim, Gibaeg et al.

Quelle: Information; Aug2025, Vol. 16 Issue 8, p653, 15p

Schlagwörter: MEDICAL education, MEDICAL history taking, CHEST pain, LANGUAGE models, TEACHING aids, SIMULATED patients, DIAGNOSIS, NURSING assessment

Artificial intelligence in undergraduate medical education: an updated scoping review.

Autoren: Simoni, Jennifer Urtubia-Fernandez, Judith Mengual, Elisa et al.

Quelle: BMC Medical Education; 11/17/2025, Vol. 25 Issue 1, p1-18, 18p

Schlagwörter: ARTIFICIAL intelligence, MEDICAL education, CODES of ethics, MEDICAL students, LANGUAGE models, CURRICULUM, TECHNOLOGICAL literacy, CRITICAL thinking

ECOSBot: a multicenter validation pilot study of a generative AI tool for OSCE-based nephrology training Open Access.

Autoren: Bentegeac, Raphaël Florens, Nans Maanaoui, Mehdi et al.

Quelle: Clinical Kidney Journal; Oct2025, Vol. 18 Issue 10, p1-14, 14p

A pilot study investigating the efficacy of technology enhanced case based learning (CBL) in small group teaching.

Autoren: Hassoulas, Athanasios Crawford, Owen Hemrom, Saiyonora et al.

Quelle: Scientific Reports; 5/4/2025, Vol. 15 Issue 1, p1-9, 9p

Schlagwörter: AUTODIDACTICISM, ARTIFICIAL intelligence, CLINICAL medical education, MEDICAL students, BLENDED learning

Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178.

Autoren: Masters, Ken MacNeil, Heather Benjamin, Jennifer et al.

Quelle: Medical Teacher; Sep2025, Vol. 47 Issue 9, p1410-1424, 15p

Schlagwörter: SCHOOL environment, ARTIFICIAL intelligence, CONTINUING medical education, TEACHING methods, UNCERTAINTY, CONFIDENCE, PATIENT-centered care, CONCEPTUAL structures, PROFESSIONAL employee training, CLINICAL competence, OUTCOME-based education, COMPUTER assisted instruction, NEEDS assessment, STAKEHOLDER analysis

Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

Autoren: Li, Juan Yin, Kaiyu Wang, Yida et al.

Quelle: BMC Medical Education; 8/19/2025, Vol. 25 Issue 1, p1-10, 10p

Schlagwörter: GENERATIVE artificial intelligence, MEDICAL education, ACADEMIC achievement, TEACHING methods, STUDENT engagement, AGGREGATION (Statistics), SKILLED labor, RANDOMIZED controlled trials

Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

Autoren: Wang, Zhen Fan, Ting-Ting Li, Meng-Li et al.

Quelle: BMC Medical Education; 7/10/2025, Vol. 25 Issue 1, p1-11, 11p

Schlagwörter: GENERATIVE pre-trained transformers, MEDICAL students, AUTODIDACTICISM, TEACHING methods, CLINICAL medical education, SIMULATED patients

The alignment model of indirect communication.

Autoren: Achimova, Asya Franke, Michael Butz, Martin V.

Quelle: PLoS ONE; 5/28/2025, Vol. 20 Issue 5, p1-33, 33p

Schlagwörter: COMMUNICATION models, ELECTIONS, DISCOURSE, CONVERSATION, PRAGMATICS, FORECASTING

Large Language Model-Based Virtual Patient Simulations in Medical and Nursing Education: A Review.

Autoren: Jo, Young-Woo Lee, Myungeun Yang, Hyung-Jeong

Quelle: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11917, 24p

Schlagwörter: MEDICAL education, NURSING education, SIMULATED patients, EVALUATION methodology, EFFECTIVE teaching, LANGUAGE models, MEDICAL practice

The feasibility of using generative artificial intelligence for history taking in virtual patients.

Autoren: Yi, Yongjin Kim, Kyong-Jee

Quelle: BMC Research Notes; 2/24/2025, Vol. 18 Issue 1, p1-5, 5p

Schlagwörter: GENERATIVE artificial intelligence, LANGUAGE models, ARTIFICIAL intelligence, HALLUCINATIONS (Artificial intelligence), SIMULATED patients, CHATBOTS

A guide to prompt design: foundations and applications for healthcare simulationists.

Autoren: Maaz, Sara Palaganas, Janice C. Palaganas, Gerry et al.

Quelle: Frontiers in Medicine; 2025, p1-11, 11p

Education and Training Assessment and Artificial Intelligence. A Pragmatic Guide for Educators.

Autoren: Newton, Philip M. Jones, Sue

Quelle: British Journal of Biomedical Science; 2025, p1-8, 8p

Generative artificial intelligence in graduate medical education.

Autoren: Janumpally, Ravi Nanua, Suparna Ngo, Andy et al.

Quelle: Frontiers in Medicine; 2025, p1-9, 9p

Enhancing medical education with chatbots: a randomized controlled trial on standardized patients for colorectal cancer.

Autoren: Jiang, Yang Fu, Xinghua Wang, Jing et al.

Quelle: BMC Medical Education; 12/20/2024, Vol. 24 Issue 1, p1-13, 13p

Schlagwörter: MEDICAL students, CASE-based reasoning, CLIENT satisfaction, ONCOLOGISTS, COLORECTAL cancer, CANCER education, SIMULATED patients

Enhancing clinical reasoning skills for medical students: a qualitative comparison of LLM-powered social robotic versus computer-based virtual patients within rheumatology.

Autoren: Borg, Alexander Jobs, Benjamin Huss, Viking et al.

Quelle: Rheumatology International; Dec2024, Vol. 44 Issue 12, p3041-3051, 11p

Schlagwörter: LANGUAGE models, PSYCHOLOGY of students, MEDICAL students, CLINICAL medical education, INTERACTIVE learning, SIMULATED patients

Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial.

Autoren: Brügge, Emilia Ricchizzi, Sarah Arenbeck, Malin et al.

Quelle: BMC Medical Education; 11/28/2024, Vol. 24 Issue 1, p1-11, 11p

Schlagwörter: LANGUAGE models, MEDICAL students, MEDICAL decision making, SIMULATED patients, MEDICAL logic

Large Language Models in Medicine: Applications, Challenges, and Future Directions.

Autoren: Erlan Yu Xuehong Chu Wanwan Zhang et al.

Quelle: International Journal of Medical Sciences; 2025, Vol. 22 Issue 11, p2792-2801, 10p

Large Language Models for Information Retrieval: Challenges and Chances.

Autoren: Breuer, Timo Frihat, Sameh Fuhr, Norbert et al.

Quelle: Datenbank-Spektrum; Jul2025, Vol. 25 Issue 2, p71-81, 11p

Schlagwörter: LANGUAGE models, INFORMATION retrieval, ETHICAL problems, QUESTION & answer websites, KNOWLEDGE representation (Information theory), INFORMATION processing