AIMC Topic: Curriculum

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An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.

Scientific reports
Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students' engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM...

Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education.

JMIR medical education
BACKGROUND: The increasing importance of artificial intelligence (AI) in health care has generated a growing need for health care professionals to possess a comprehensive understanding of AI technologies, requiring an adaptation in medical education.

Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Korean journal of medical education
Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite this, clinical reasoning has a variety of definitions and medical error, which is often attributed to clinical reasoning, has been reported to be a l...

How to choose a design thinking method for teaching the design of localization: A two-dimension linguistic fuzzy model with two-tuples.

PloS one
There are many different types of scientific design thinking methods, but it is necessary to evaluate the applicability of the methods to the components of the design teaching curriculum in universities. Therefore, this study assesses the applicabili...

Providing insights into health data science education through artificial intelligence.

BMC medical education
BACKGROUND: Health Data Science (HDS) is a novel interdisciplinary field that integrates biological, clinical, and computational sciences with the aim of analysing clinical and biological data through the utilisation of computational methods. Trainin...

Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.

BMC medical education
BACKGROUND: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.

Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine.

BMC medical education
BACKGROUND: The current applications of artificial intelligence (AI) in medicine continue to attract the attention of medical students. This study aimed to identify undergraduate medical students' attitudes toward AI in medicine, explore present AI-r...

[ChatGPT for use in technology-enhanced learning in anesthesiology and emergency medicine and potential clinical application of AI language models : Between hype and reality around artificial intelligence in medical use].

Die Anaesthesiologie
BACKGROUND: The utilization of AI language models in education and academia is currently a subject of research, and applications in clinical settings are also being tested. Studies conducted by various research groups have demonstrated that language ...

Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research.

Creative nursing
The integration of artificial intelligence (AI) into health care offers the potential to enhance patient care, improve diagnostic precision, and broaden access to health-care services. Nurses, positioned at the forefront of patient care, play a pivot...