Comparing Simulation Based and Lecture Based Education on Knowledge Acquisition and Long Term Retention in Medical Students DOI
Khasan Ibragimov,

Azimjon Zeripovich Axmedov,

N. Yarmukhamedova

et al.

Virtual Technologies in Medicine, Journal Year: 2024, Volume and Issue: 1(4), P. 328 - 333

Published: Dec. 20, 2024

This study aimed to compare the effectiveness of simulation-based versus lecture-based education in improving immediate knowledge acquisition and long-term retention among medical students. Forty second-year students were randomly assigned two groups: Group A (simulation) B (lecture). Both groups taught same four topics, completed a pre-test, post-test, delayed post-test five weeks later assess gain retention. showed significant improvement from pre-test (p < 0.001), with no difference = 0.24). However, demonstrated significantly better 0.02), particularly topics like hyperkalemia STEMI. While both educational methods effective short term, led superior retention, especially for clinical decision-making topics. The results suggest that incorporating simulation into may enhance students’ preparedness practice. Further studies are recommended refine balance between these approaches.

Language: Английский

The Application of AI in Clinical Nursing, Yields Several Advantageous Outcomes DOI
Habib Ahmed,

Naeema Akber,

Mohammad Saleem

et al.

Indus journal of bioscience research., Journal Year: 2025, Volume and Issue: 3(2), P. 591 - 599

Published: March 6, 2025

AI applications in nursing practice deliver transformative improvements for patient care while reducing workflow disruptions and serving healthcare workers better. This research explores how helps professionals through clinical decision systems as well observation workload optimization mental health resource delivery. Through their integration of support tools predictive analytics along with automation technologies experience better efficiency together lower administrative burdens improved safety. The use delivers individualized to nurses that enable them protect themselves from burnout stress. adoption technology faces crucial ethical obstacles include privacy risks related information systemic bias within algorithms social repercussions deployment. complete benefits depend on an equilibrium between technological progress patient-focused approaches. future success depends the education into curricula preparation AI-driven environments. demonstrates enables transformation but calls monitoring practices continuous assessment produce fair effective deployment outcomes.

Language: Английский

Citations

0
An Academic Viewpoint (2025) on the Integration of Generative Artificial Intelligence in Medical Education: Transforming Learning and Practices DOI Open Access
Mohammad Almansour, Mona Soliman, Raniah N. Aldekhyyel

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

Citations

0
Künstliche Intelligenz in der chirurgischen Weiterbildung DOI
Adrian Deichsel, Felix C. Oettl, Johannes Pawelczyk

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

The integration of artificial intelligence (AI) into medical education and advanced training is gaining in importance. Especially surgical AI offers potential to support both theoretical practical learning processes. Applications include interactive chatbots, digital assistance systems automated assessment skills using computer vision machine learning. This article provides an overview current developments, opportunities challenges training.

Language: Английский

Citations

0
CBA Implementation Challenges: Teacher Readiness and Assessment in Nursing Education DOI
Rikas Saputra,

Isnaria Rizki Hayati,

Yenni Lidyawati

et al.

Teaching and learning in nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

0
Response to faculty readiness and assessment strategies in concept-based curriculum implementation DOI
Roqaia Dorri, Mohammed Al-Hassan, Elham Al-Omari

et al.

Teaching and learning in nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0
Comparing Simulation Based and Lecture Based Education on Knowledge Acquisition and Long Term Retention in Medical Students DOI
Khasan Ibragimov,

Azimjon Zeripovich Axmedov,

N. Yarmukhamedova

et al.

Virtual Technologies in Medicine, Journal Year: 2024, Volume and Issue: 1(4), P. 328 - 333

Published: Dec. 20, 2024

This study aimed to compare the effectiveness of simulation-based versus lecture-based education in improving immediate knowledge acquisition and long-term retention among medical students. Forty second-year students were randomly assigned two groups: Group A (simulation) B (lecture). Both groups taught same four topics, completed a pre-test, post-test, delayed post-test five weeks later assess gain retention. showed significant improvement from pre-test (p < 0.001), with no difference = 0.24). However, demonstrated significantly better 0.02), particularly topics like hyperkalemia STEMI. While both educational methods effective short term, led superior retention, especially for clinical decision-making topics. The results suggest that incorporating simulation into may enhance students’ preparedness practice. Further studies are recommended refine balance between these approaches.

Language: Английский

Citations

0