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AI education for clinicians. [PDF]
Rapid advancements in medical AI necessitate targeted educational initiatives for clinicians to ensure AI tools are safe and used effectively to improve patient outcomes. To support decision-making among stakeholders in medical education, we propose three tiers of medical AI expertise and outline the challenges for medical education at different ...
Schubert T +4 more
europepmc +5 more sources
The Korean government has implemented various policies to support software (SW) and artificial intelligence (AI) education to secure national competitiveness since 2015.
Dagyeom Lee +3 more
doaj +2 more sources
This chapter serves as a culmination of our exploration into the integration of artificial intelligence (AI) in both pedagogical and andragogical education. It synthesizes the comprehensive analysis presented throughout the book on how AI is reshaping teaching and learning for children and adults. The chapter underscores the transformative potential of
Graig Kaiser, Sue Kaiser
+20 more sources
UNVEILING AI’S EXISTENTIAL THREATS AND SOCIETAL RESPONSIBILITIES [PDF]
Artificial Intelligence (AI) stands at the intersection of unprecedented opportunities and profound challenges. As AI is increasingly integrated into societal structures, the necessity for transparency and open-source approaches becomes paramount to ...
Jessica Baumberger
doaj +1 more source
Analysis of AI Ethical Competence to Computational Thinking
Artificial Intelligence (AI) is a driving force leading the intelligent information society. Major advanced countries have established AI into key policy projects and made continuous efforts to nurture and develop future talents through AI education ...
Jinah Bae, Junghun Lee, Jungwon Cho
doaj +1 more source
The transition of Artificial Intelligence (AI) from a lab-based science to live human contexts brings into sharp focus many historic, socio-cultural biases, inequalities, and moral dilemmas. Many questions that have been raised regarding the broader ethics of AI are also relevant for AI in Education (AIED).
Kaska Porayska-Pomsta +2 more
openaire +2 more sources
Deep learning approaches in flow visualization
With the development of deep learning (DL) techniques, many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL methods.
Can Liu +6 more
doaj +1 more source
Beyond Valence and Arousal: The Role of Age of Acquisition in Emotion Word Recognition
Although the age of acquisition (AoA) effect has been established in numerous studies, how emotion word processing is modulated by AoA, along with affective factors, such as valence and arousal, is not well understood.
Chenggang Wu, Yiwen Shi, Juan Zhang
doaj +1 more source
Human-centered AI in Education: Augment Human Intelligence with Machine Intelligence
This special issue focus on underlying research with the use of human-centered AI (Artificial Intelligence), where the new design methods and tools can be leveraged and evaluated, hopes to advance AI research, education, policy, and practice to improve ...
Stephen J. H. Yang +2 more
doaj +1 more source
Empowering learners for the age of artificial intelligence
Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E.
Dragan Gašević +2 more
doaj +1 more source

