NURS FPX 6109 Vila Health Educational Technology Needs Assessment Example

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

NURS FPX 6109 Vila Health Educational Technology Needs Assessment Assignment Brief

Assignment Title: Assessment 1 Vila Health: Educational Technology Needs Assessment

Course: NURS-FPX 6109 Integrating Technology into Nursing Education

Assignment Overview

In the rapidly evolving landscape of healthcare, the integration of technology into nursing education has become imperative. As nursing professionals play a vital role in patient care, it is essential to ensure that they are equipped with the necessary skills and knowledge to meet the challenges of modern healthcare settings. This assignment aims to conduct a comprehensive needs assessment of educational technology in nursing education, exploring the current utilization of technology, comparing it with the desired state, evaluating metrics for assessing technology benefits, and aligning new technology with organizational missions.

Understanding Assignment Objectives

The primary objective of this assignment is to assess the educational technology needs in nursing education. Specifically, students are required to:

  • Investigate the current utilization of technology in nursing education.
  • Compare the current state of educational technology with the desired state.
  • Evaluate metrics for assessing the benefits of educational technology in nursing education.
  • Align new technology initiatives with the mission of the organization.
  • Provide recommendations for effectively integrating educational technology into nursing education.

The Student’s Role

As a student undertaking this assignment, your role is to conduct a comprehensive analysis of educational technology needs in nursing education. You are expected to explore various aspects, including the utilization of technology, strengths and weaknesses of current practices, opportunities for improvement, and potential threats or challenges. Additionally, you will need to critically evaluate metrics for assessing the benefits of educational technology and provide recommendations for enhancing its integration into nursing education. Throughout the assignment, maintain a neutral and objective stance, focusing on the broader implications for nursing education as a whole.

You Can Also Check Other Related Assessments:

NURS FPX 6109 Assessment 2 Vila Health: The Impact of Educational Technology Example

NURS FPX 6109 Assessment 3 Educational Technologies Comparison Example

NURS FPX 6109 Assessment 4 Vila Health: Implementing New Educational Technology Example

NURS FPX 6109 Vila Health Educational Technology Needs Assessment Example


In the ever-evolving landscape of healthcare, the integration of technology into nursing education has become indispensable. Nursing education must adapt to changes in diseases, healthcare needs, technological advancements, and patient concerns to ensure the competence of healthcare professionals. This educational technology needs assessment explores the current utilization of technology in nursing education, compares it with the desired state, evaluates metrics for assessing technology benefits, and aligns new technology with organizational missions. This integration of technology not only enhances nurses’ critical thinking and leadership skills but also improves the potential for medication delivery (Contreras et al., 2020).

Current Utilization of Educational Technology at Johns Hopkins College

Johns Hopkins College in Baltimore is renowned for its long-standing reputation and excellence in research. Offering various nursing certifications, associate degrees, and affiliated clinical research programs, it stands as a pillar in nursing education.

At Johns Hopkins College, nurses are leveraging Artificial Intelligence (AI) technology for customized learning experiences. AI assists nurses in focusing on areas of personal interest by tailoring learning programs to their individual needs. Moreover, AI technology is employed to develop intelligent tutoring systems that offer personalized feedback to nurses (Robert, 2019).

Educational Innovation in Nursing Training

Furthermore, AI technology is enhancing nurses’ decision-making processes. AI-generated virtual patients are utilized for clinical experimentation, while simulation tools are employed to teach nurses various procedures. However, it is important to acknowledge the associated uncertainties with AI models. The AI process involves inherent risks, including unexpected outcomes and ambiguous decision-making scenarios (Randhawa et al., 2019).

Looking ahead, nurses at Johns Hopkins College are poised to benefit from more advanced educational experiences facilitated by AI technology. These advancements are expected to not only enhance nurses’ performance but also contribute to better patient outcomes in healthcare settings.

At Johns Hopkins College Baltimore, a prestigious research university, artificial intelligence (AI) technology is employed to tailor learning programs for nurses. AI assists nurses in focusing on areas of personal interest and provides intelligent coaching systems for personalized feedback (Robert, 2019). Additionally, AI is utilized to enhance decision-making, simulate clinical scenarios, and facilitate various nursing operations (Randhawa & Jackson, 2019).

Comparison of Current and Desired States

Artificial intelligence (AI) technologies hold promise in revolutionizing nursing education by assisting in tasks such as assessing assignments, providing personalized feedback to students, and identifying areas where additional support may be needed. Additionally, AI can facilitate the creation of interactive learning materials and simulations, aiding students in grasping complex concepts and honing practical skills (Buchanan et al., 2021).

Present Status

Currently, the utilization of AI in nursing education shows promise, but it faces challenges in effectively addressing complex cases. Nurses encounter difficulties, and comprehensive AI-based training programs are not readily available to support them in their learning journey.

Desired State

The desired state of nursing education aims to maximize clinical outcomes by integrating AI into the curriculum. Nurses will receive thorough training on AI techniques and tools to enhance their clinical skills and improve patient care and safety.

An envisioned application of AI in nursing education involves the integration of virtual reality (VR) and augmented reality (AR) technologies to create immersive learning experiences, a component currently lacking in nursing education (Pottle, 2019). AR can also provide students with real-time information and guidance during tasks such as medication administration or patient assessments (Shorey, 2019).

The current reliance on traditional teaching methods underscores the need to transition to AI-based tools and techniques in nursing education. However, it is essential to acknowledge that AI may not be suitable for all students, necessitating accommodations in the existing nursing education framework for those who may struggle with or prefer alternative learning methods (Buchanan et al., 2021).

Evaluation of Current and Desired States: SWOT Analysis

To analyze the factors influencing the integration of artificial intelligence (AI) in nursing education, a SWOT analysis is employed.


The current status of nursing education faces limitations in accessing educational resources. However, the desired state aims to strengthen the nursing education system by providing access to various educational resources, such as simulations and virtual patient cases. These resources can enhance learning and allow students to practice skills in a safe environment (Buchanan et al., 2021).


While the desired state aims to simplify collaborations and decision-making practices for nurses, some may struggle to adapt to learning with artificial intelligence. This challenge may particularly affect individuals who are unfamiliar with technology or prefer more traditional forms of education (Randhawa & Jackson, 2019).


The current status presents limited opportunities for innovation and advancement. However, the desired state can help increase the accessibility of nursing education, enabling students to learn from anywhere with an internet connection. This expanded accessibility can facilitate greater participation and engagement among students (Amann et al., 2020).


Concerns may arise in the present status regarding the accuracy and reliability of AI-based nursing education programs due to limited access to AI technology. However, the desired state aims to address this gap by leveraging remote services provided by nurses trained in AI tools. These remote services can help mitigate concerns about the effectiveness of AI-based education (Gardner et al., 2018).

Evaluation of Metrics

Various metrics can be utilized to assess the benefits of artificial intelligence (AI) in nursing education. These metrics include:

Improved test scores:

One way to measure the effectiveness of AI in nursing education is by monitoring changes in test scores following the implementation of AI-based learning tools. This evaluation can encompass both formative assessments, such as quizzes and practice exams, as well as summative assessments like final exams and certification tests (Robert, 2019).

Enhanced retention and recall of information:

AI-based learning tools can be designed to assist nursing students in retaining and recalling information more effectively. By utilizing techniques such as spaced repetition and adaptive learning algorithms, these tools can optimize the learning process and improve long-term retention of key concepts (Randhawa & Jackson, 2019).

Increased engagement, Rapid Learning, and Motivation:

AI-based learning tools have the potential to be more interactive and engaging than traditional methods, leading to greater motivation and participation among nursing students. This can be assessed through surveys, focus groups, or by tracking metrics such as attendance and participation rates. Additionally, AI-based tools can adapt to the individual needs and abilities of nursing students, potentially accelerating the learning process (Shorey et al., 2019).

Enhanced clinical skills:

AI-based learning tools offer simulated clinical scenarios that allow students to practice and enhance their clinical skills in a safe and controlled environment. This improvement in clinical skills can be evaluated through assessments of clinical performance or feedback from clinical instructors (Pottle, 2019).


Evidence suggests that artificial intelligence (AI)-based learning tools can effectively enhance the learning experience of nursing students. To maximize the effectiveness of AI in nursing education, several recommendations should be considered:

  • Use AI-based learning tools as supplements, rather than replacements, for traditional teaching methods. While AI-based tools can be beneficial, they should complement traditional teaching approaches, such as lectures and hands-on practice (Robert, 2019).
  • Leverage the adaptability of AI-based learning tools to meet the individual needs and abilities of students. To ensure maximum effectiveness, these tools should be personalized to cater to the unique requirements of each student (Shorey et al., 2019).
  • Assess the effectiveness of AI-based learning tools by tracking their impact on learning outcomes. This evaluation may involve monitoring changes in test scores, retention rates, and gathering feedback from both students and educators (Randhawa & Jackson, 2019).
  • Stay updated with advancements in AI technology and make necessary updates to learning tools accordingly. To ensure that AI-based learning tools remain effective, continuous improvement and adaptation are essential (Pottle, 2019).
  • Provide adequate training and support to nurses on how to integrate AI-based learning tools into their classroom and clinical practices. Proper training will enable nurses to effectively utilize these tools and enhance their professional development (Contreras et al., 2020).

Alignment of New Technology with the Mission of Organization

Johns Hopkins College in Baltimore is committed to advancing knowledge and providing students with high-quality education. Artificial intelligence (AI) technology can play a significant role in fulfilling this mission by enhancing the learning experience of nursing students at the college (Amann et al., 2020).

One way AI technology can support the core mission of Johns Hopkins College is by offering personalized and adaptable learning opportunities for nursing students. AI-based learning tools have the capability to analyze student data and tailor the learning experience to meet the unique needs and abilities of each student, thereby providing a more individualized learning experience. This personalized approach can facilitate more effective learning outcomes, such as improved test scores and better retention of information (Gardner et al., 2018).

Additionally, AI technology can contribute to the mission of Johns Hopkins College by providing students with opportunities to practice and enhance their clinical skills in a safe and controlled environment. AI-based learning tools can simulate various clinical scenarios, allowing students to practice and refine their skills without putting real patients at risk. By offering these simulated clinical experiences, AI technology can better prepare nursing students for real-world clinical situations, aligning with the college’s commitment to providing high-quality education (Amann et al., 2020).


The integration of AI technology into nursing education holds immense potential to enhance learning outcomes and improve patient care. By leveraging AI tools effectively, nursing education can adapt to the evolving healthcare landscape, ensuring that nurses are equipped with the necessary skills to meet the demands of modern healthcare settings. Challenges such as resistance to technological adaptation and concerns about the reliability of AI-based education programs must be addressed to fully realize the benefits of AI in nursing education. To ensure effective implementation, AI tools should be viewed as supplements rather than replacements for traditional teaching methods. Personalizing AI-based learning tools to meet the diverse needs of students and continuously evaluating their effectiveness through metrics such as test scores and retention rates are crucial steps in optimizing their impact. Staying updated with advancements in AI technology and providing adequate training and support to nursing professionals on integrating these tools into their practice are essential for successful implementation. By aligning AI technology with the mission of organizations like Johns Hopkins College, nursing education can continue to evolve and adapt, ultimately empowering students to become competent and compassionate healthcare professionals and improving patient outcomes.


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).

Buchanan, D., Harris, C., & Flanagan, K. (2021). Artificial intelligence in healthcare: Perspectives on the future of ethics, data, and technology. Journal of the American Medical Informatics Association, 28(1), 141–144.

Contreras, C. M., Mettert, K. D., Beane, J. D., Dedhia, P. H., Ejaz, A., & Pawlik, T. M. (2020). Educational technology use among US colleges and schools of pharmacy. American Journal of Pharmaceutical Education, 84(1), 154–162.

Gardner, R. L., Cooper, E., Haskell, J., Harris, D. A., Poplau, S., Kroth, P. J., & Linzer, M. (2018). Physician stress and burnout: The impact of health information technology. Journal of the American Medical Informatics Association, 26(2), 106–114.

Pottle, J. (2019). Virtual reality and the transformation of medical education. Future Healthcare Journal, 6(3), 181–185.

Randhawa, G., & Jackson, J. (2019). Redefining nursing education through emerging technologies. Journal of Nursing Education and Practice, 9(1), 74–79.

Shorey, S., Chee, Y. E., Ng, E. D., Tan, W. K., Lau, L. S. J., Tam, W. W. S., & Toh, Y. P. (2019). Technology-enhanced simulation in nursing education: A meta-analysis. Nurse Education Today, 79, 43–48.

Detailed Assessment Instructions for the NURS FPX 6109 Vila Health: Educational Technology Needs Assessment



Conduct an educational technology needs assessment for your current workplace setting or another health care setting you are familiar with and interested in. Document the results of your needs assessment in a 3–5-page report.

Note: Each assessment in this course builds upon the work you have completed in previous assessments. Therefore, complete the assessments in the order in which they are presented.

As thoughtful stewards of organizational resources, nurse educators must be able to determine whether new educational technology, upgrades to existing technology, or changes in current technology use will help to close performance gaps, improve patient outcomes, and yield measurable benefits for nursing staff and the organization at large. A comprehensive needs assessment distinguishes needs from wants, compares the current state with the desired state, and enables sound decision making.

This assessment provides an opportunity for you to assess the need for changes in existing educational technology, or the current use of that technology, to improve nursing education in a setting of your choice.


The following resources are required to complete the assessment.


Use this template for your needs assessment.


  • Vila Health: Educational Technology Needs Assessment.
    • Vila Health is a virtual environment that simulates a real-world health care system. In the various Vila Health challenges, you will apply professional strategies, practice skills, and build competencies that you can apply to your coursework and in your career. The information you gather in this challenge will help you to complete the assessment.

Assessment Instructions

Note: Complete the assessments in this course in the order in which they are presented.


Workplace Setting and Educational Context

You may choose your current workplace setting or another health care setting you are familiar with and interested in as the context for this assessment and all subsequent assessments. Also, in your selected setting, choose the educational context within which the technology is being used:

    • Academic.
    • Clinical (on the job).
    • Continuing professional education.

As you work through each assessment in this course, imagine yourself as the director of nursing education or fulfilling a similar role in your organization. In your capacity as director, you are aware that several organizational training initiatives and ongoing educational programs have not met expectations. You suspect that part of the reason for this can be attributed to the ineffective use of existing educational technologies, and in some cases, the lack of appropriate tools and technology. Consequently, you have decided to conduct a needs assessment to determine what changes in existing technologies, or their use, you might propose to executive leaders that would have a positive impact on current nursing processes, staff performance, and patient outcomes.To prepare for the assessment, you are encouraged to reflect on how educational technologies, such as simulation equipment, e-learning, and remote communication technologies, are used to support nursing education or training programs you are familiar with. Then, consider the effectiveness of these technologies and whether new or upgraded technologies, or changes in current use, might help close performance gaps and improve patient outcomes. In addition, you may wish to review the assessment requirements and scoring guide to ensure you understand the work you will be asked to complete.Note: Remember that you can submit all, or a portion of, your draft needs assessment to Smarthinking Tutoring for feedback, before you submit the final version for this assessment. If you plan on using this free service, be mindful of the turnaround time of 24–48 hours for receiving feedback.


Conduct an educational technology needs assessment.Note: If you have not already done so, complete the Vila Health: Educational Technology Needs Assessment challenge, linked in the Required Resources.The needs assessment requirements, outlined below, correspond to the grading criteria in the scoring guide, so be sure to address each point. Read the performance-level descriptions for each criterion to see how your work will be assessed. In addition, be sure to note the requirements below for document format and length and for citing supporting evidence.

    • Describe how nurses are currently using educational technology within the setting and educational context you have chosen for this assessment.
      • What information is lacking that would provide you with a more complete or accurate description of current usage?
      • Is your description based on any particular assumptions?
    • Compare the current state of educational technology use with the desired state (best practices in nursing education).
      • Choose any analysis methodology that you are familiar with and comfortable using. For example:
        • Gap analysis.
        • SWOT or TOWS analysis.
        • Appreciative inquiry (discover and dream steps).
      • Address the following:
        • What, if any, changes are needed in how nurses currently use the existing technology?
        • Is there a need for a new technology solution?
        • On what do you base your conclusions?
    • Assess the metrics used to determine the benefits of current educational technology use.
      • Are the metrics sufficient for the intended purpose?
      • What are the best practices that could help improve the quality, interpretation, and use of the data?
    • Explain how new or existing educational technology aligns with the strategic mission of the organization.
      • If needed, locate a public statement of the organization’s mission.
    • Recommend changes to existing educational technology, or current use of the technology, that will improve nursing education.
      • How will your recommendations result in improvements in nursing education?
      • What evidence do you have to support your conclusions and recommendations?
    • Support assertions, arguments, propositions, and conclusions with relevant and credible evidence.
      • Is your supporting evidence clear and explicit?
        • How or why does particular evidence support a claim?
        • Will your reader see the connection?
      • Did you summarize, paraphrase, and quote your sources appropriately?
    • Write clearly and concisely in a logically coherent and appropriate form and style.
      • Write with a specific purpose and audience in mind.
      • Adhere to scholarly and disciplinary writing standards and APA formatting requirements.

Document Format and Length

Format your needs assessment using current APA style.

    • Use the APA Style Paper Template, linked in the Required Resources. An APA Style Paper Tutorial is also provided (linked in the Suggested Resources) to help you in writing and formatting your needs assessment. Be sure to include:
      • A title page and references page. An abstract is not required.
      • A running head on all pages.
      • Appropriate section headings.
    • Your needs assessment should be 3–5 pages in length, not including the title page and references page.


Cite at least three credible sources from peer-reviewed journals or professional industry publications to support your needs assessment.


Proofread your needs assessment, before you submit it, to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your assessment.

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