AIMC Topic: Teaching

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Integrating artificial intelligence into nurse practitioner education: Strategies for teaching the next generation of nurse practitioners.

Journal of the American Association of Nurse Practitioners
The rapid integration of artificial intelligence (AI) into health care necessitates a parallel evolution in nurse practitioner (NP) education. This article examines the imperative for NP programs to incorporate AI literacy, ensuring that graduates ar...

Application of AI-assisted multi-advisor system combined with BOPPPS teaching model in clinical pharmacy education.

BMC medical education
BACKGROUND: The development of clinical pharmacy in China has been relatively slow, and standardized, effective training for clinical pharmacists remains a major challenge. At present, traditional teaching methods are not conducive to cultivating cli...

AI in Healthcare - A Transdisciplinary Teaching Approach.

Studies in health technology and informatics
The growing adoption of artificial intelligence (AI) requires a workforce capable of addressing related challenges. The course AI in Healthcare prepares students to solve real-world problems using AI methods. Working in teams, students tackle case st...

AI powered ELT: Instructors' transformative roles and opportunities.

PloS one
The integration of artificial intelligence (AI) in education is reshaping English language teaching (ELT), redefining the 'assistant' function of technology and the 'interaction' roles of language instructors. This study specifically investigates ins...

[Design and practice of integrating artificial intelligence into the teaching of "Synthetic Biology" under the background of discipline crossing].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
In recent years, artificial intelligence has been employed to empower synthetic biology, demonstrating great potential in the simulation and prediction of protein structures as well as the design and optimization of regulatory elements and metabolic ...

Japanese Braille Translation Using Deep Learning - Conversion from Phonetic Characters (Kana) to Homonymic Characters (Kanji).

Studies in health technology and informatics
A blind student writes and submits reports in Braille word processor, which is difficult for teachers to read. This study's purpose is to make a translator from Braille into mixed Kana-Kanji sentences for such teachers. Because Kanji has homonyms, it...