Current State
The current state of the use of AI is helpful but it has a problem of uncertainty to explain the complex cases. Nurses have several issues and proper AI based education is not available.
Desired State
The desired state of nursing education aims to achieve maximum output in their clinical practices by incorporating AI in their education. The nurses will be fully educated regarding the AI techniques and tools that will enhance their clinical skills to improve patient care and safety.
One desired application of AI in nursing education is the use of virtual reality (VR) and augmented reality (AR) technologies to create immersive learning experiences that is currently lacking in the nursing education (Pottle, 2019). AR could also be used to provide students with real-time information and guidance as they perform tasks, such as administering medications or performing assessments (Shorey, 2019)
The current state is dependant on the traditional teaching methods and the desired state requirement is to replace the traditional methods by AI based tools and techniques. It should also be recognized that the use of AI in education may not be suitable for all students, and accommodations may need to be made in current nursing education system for those who may not benefit from or have difficulty interacting with AI-powered learning materials (Buchanan et al., 2021)
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
To evaluate the internal and external factors that can impact the use of AI in nurses’ learning I am using SWOT analysis.
Strengths
Weaknesses
Opportunities
Threats
Current state may have concerns about the accuracy and reliability of AI-based nursing education programs due to limited access to AI technology but the desired state is fulfilling this gap by the utilization of remote services provided by nurses educated with AI tools.
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
There are several metrics that could be used to determine the benefits of AI in the learning of nursing students. These may include:
Improved test scores
One way to measure the benefits of AI in nursing education is to track changes in test scores before and after the implementation of AI-based learning tools. This could include both formative assessments (such as quizzes and practice tests) as well as exams and certification tests.
Increased retention and recall of information
AI-based learning tools can be designed to help nursing students retain and recall information more effectively.
Greater engagement, Fast Learning, and Motivation
AI-based learning tools can be designed to be more interactive and engaging than traditional methods, which may lead to increased motivation and engagement among nursing students. This can be measured through surveys or focus groups, or through tracking measures such as attendance and participation. Furthermore, AI-based learning tools can be designed to adapt to the needs and abilities of nursing students, potentially leading to faster learning.
NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment
AI-based learning tools can be used to simulate clinical scenarios, allow
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