Alignment of New Technology with the Mission of Organization NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessmen

Alignment of New Technology with the Mission of Organization NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessmen

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The strategic mission of Johns Hopkins University in Baltimore includes a commitment to advancing knowledge and providing students with a world-class education. AI technology can play a role in this mission by supporting and enhancing the learning of nursing students at the university (Amann et al., 2020).

One way that AI technology can support the strategic mission of Johns Hopkins University is by providing personalized and adaptive learning experiences for nursing students. AI-based learning tools can analyze student data and adapt to the needs and abilities of each individual student, providing a more tailored learning experience. This can help students learn more effectively and efficiently, potentially leading to improved test scores and retention of information.

Another way that AI technology can support the strategic mission of Johns Hopkins University is by providing students with opportunities to practice and develop their clinical skills in a safe, controlled environment. AI-based learning tools can simulate clinical scenarios and allow students to practice their skills, improving their preparedness for real-world clinical situations. Overall, the use of AI technology in the education of nursing at Johns Hopkins University can help to advance knowledge and provide students with a world-class education, aligning with the university’s strategic mission (Gardner et al., 2018).

Conclusion

NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment

The use of technology has also given optimal results in every field of life. Artificial Intelligence is as old as Information Technology (IT). AI has developed learning techniques and teaching modules and incredibly turned the mode of intelligence for students. Automatic processing and analysis of data will help nursing students secure better clinical practices and ensure patient care and safety.

NURS FPX 6109 Assessment 1 Vila Health: Educational Technology Needs Assessment

References

Amann, J., Blasimme, A., Vayena, E., Frey, D., & Madai, V. I. (2020). Explainability for artificial intelligence in healthcare: A multidisciplinary perspective. BMC Medical Informatics and Decision Making, 20(1).