Artificial intelligence (AI) tools like ChatGPT can help you draft assignments, lecture outlines, case studies, and in-class activities. However, while tools like ChatGPT are helpful, they are only tools. Even the world’s best nails are useless without a hammer -- and without a person who knows how to swing it. Library research skills and a solid understanding of pedagogy are the hammers you’ll need as a faculty member in order to use ChatGPT effectively.

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.

Excellence in practice requires nurses to use effective interpersonal communication skills.  Nurses interact with patients and their families at very vulnerable moments of life (and death). Teaching nurses how to effectively communicate is challenging. Yoodli provides us with a platform to capture interpersonal interactions on video, offers a written transcript of the interaction, offers feedback on basic communication skills, and allows faculty to provide additional feedback on the advanced skills taught in the course.

Generative artificial intelligence (AI) is a type of AI that allows for the creation of brand-new content. It uses machine learning from massive data sets to create images, video, and text. With AI on the rise in society and in health care, nurse educators need to find ethical ways to integrate these technologies into educational practices. Most discussion on the use of AI in education has centered on chat-based tools such as ChatGPT or Bing Chat, mostly due to concerns with cheating. Less attention, however, has been paid to AI image generation using tools such as Midjourney, DALL∙E 2, and Stable Diffusion. These AI-based image generators provide a way for users to easily create never-before-seen images from a variety of artistic genres using simple text prompts. Although research is in its infancy, early benefits of using images in healthcare education include increasing students’ self-reflection, emotional intelligence, critical analysis, and dialogue on complex topics, which are all essential skills in building clinical judgment.

Background: 

ChatGPT, an artificial intelligence-driven, pretrained, deep learning language model, can generate natural language text in response to a given query. Its rapid growth has led to concerns about ethical use in academia.

Problem: 

The exponential rise in the popularity of ChatGPT, and concerns of academic integrity with its use, has raised concerns among faculty for how to best address this issue.

Approach: 

Faculty should understand the potential benefits and limitations of ChatGPT and create assignments that emphasize self-reflection, critical thinking, problem solving, and independent learning. Students must be taught how to critically evaluate information and how to make informed decisions.

Conclusions: 

ChatGPT has the potential to revolutionize nursing education. However, it is critical for faculty to be familiar with its capabilities and limitations in order to foster effective, yet ethical and responsible utilization, while preparing students for the dynamic, rapidly advancing technological landscape in nursing and health care.