AIMC Topic: Knowledge

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Introducing societal issues in an upper level STEM course increases student engagement and knowledge transfer.

Developmental biology
The ability of students to transfer their knowledge and understanding learned from one context to a novel context is the ultimate goal of education. Creating assignments that engage students through something they care about can help create the envir...

Enhancing text-centric fake news detection via external knowledge distillation from LLMs.

Neural networks : the official journal of the International Neural Network Society
Fake news poses a significant threat to society, making the automatic and accurate detection of fake news an urgent task. Various detection cues have been explored in extensive research, with news text content shown to be indispensable as it directly...

Memory flow-controlled knowledge tracing with three stages.

Neural networks : the official journal of the International Neural Network Society
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students' learning data to infer their knowledge acquisition and predict their future performance. Recent advancements in KT recognize the importance of memory...

Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.

Science and engineering ethics
This study presents an evidence-based argument for integrating participatory inquiry practices into AI education, using science fiction films as a primary tool for examining human-technology relationships. Through a media-enhanced co-inquiry approach...

[The Future of Nursing Education: Necessary Elements and Implementation Strategies for Learning Artificial Intelligence].

Hu li za zhi The journal of nursing
As populations age, average life expectancy increases and the complexity of diseases rises, leading to nursing care and healthcare systems facing severe challenges related to inadequate resources. Artificial intelligence (AI), including elements such...

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Advances in health care management
Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new t...

Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR.

Studies in health technology and informatics
The lack of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms. While explainable artificial intelligence (XAI) methods have been proposed, little research has focused on the agreement between these meth...

Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.

JAMA internal medicine
IMPORTANCE: Although artificial intelligence (AI) offers many promises across modern medicine, it may carry a significant risk for the mass generation of targeted health disinformation. This poses an urgent threat toward public health initiatives and...

ChatGPT: Transcending Language Limitations in Scientific Research Using Artificial Intelligence.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Health and scientific researchers in non-English speaking countries such as Pakistan, are not proficient in English, which limits their ability to communicate their ideas and findings to the international scientific community. ChatGPT is a large lang...

[Reflections on the Design of English-Medium Instruction Courses in Nursing].

Hu li za zhi The journal of nursing
In line with the Taiwan government's 2030 bilingual national policy, nursing education must emphasize the importance of enhancing English proficiency, developing international competitiveness, and fostering global literacy. English is used as the med...