Kimberly D. Acquaviva
https://speechify.page.link/D4Q639eGB3CDUAi49
Audio: Instructional Support
The Future of Nursing Education: Embracing Generative AI
Kimberly D. Acquaviva
Kimberly’s
Recommendation
I created this resource because I wanted nurse educators to see what generative AI can accomplish in terms of generating scripts for lectures. Generative AI -- in this case, ChatGPT's GPT-4 -- does a good job of scripting the basic skeleton of a lecture upon which nurse educators can build. If I were to give this lecture to a class, I would modify it first by adding more robust content and citations.
Good afternoon, everyone. I'm delighted to be here today to talk about the future of nursing education and the role generative artificial intelligence plays in it. This lecture was generated using GPT-4 on July 13, 2023, and is being narrated by an AI-generated voice via Speechify.
As we begin our deep dive into this exciting topic, let's first establish a fundamental understanding of what we're discussing. At its core, AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines or software. This often involves learning from information, reasoning to reach approximate or definite conclusions, and self-correction.
Now, imagine a world where complex calculations, the ability to process vast amounts of data, and the capacity to learn and adapt over time, could all be encapsulated within a piece of software. That's the power of AI - it's like having an extremely intelligent, tireless assistant who can aid us in virtually any domain.
AI's capability is not just in its capacity to perform tasks but in its ability to learn. Over the past decades, we have seen an exponential growth in AI capabilities due to advancements in machine learning and neural networks. Machine learning is essentially the method by which we teach AI systems to learn from data, to identify patterns, and to make decisions with minimal human intervention.
Just like humans, AI can learn in two ways: through supervision or without supervision. In supervised learning, the model is trained on a labeled dataset. But in unsupervised learning, the model identifies patterns and relationships in the data on its own. This leads us to the exciting possibility of AI not just emulating human intelligence but also potentially discovering new insights that might be beyond human comprehension.
In recent years, AI has seeped into every corner of society. It's in the phones we use, the cars we drive, the way we shop, and even how we consume news and information. Its influence is ubiquitous, transformative, and not without its challenges. However, the opportunities it provides, particularly in the field of education, are immense.
Specifically, in nursing education, AI offers potential solutions to some of the field's most pressing issues: creating immersive learning environments, encouraging creativity, enhancing critical thinking, and fostering advanced clinical reasoning abilities.