NURS FPX 6109 Vila Health Implementing New Educational Technology Example

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

Assignment Brief: NURS FPX 6109 Vila Health Implementing New Educational Technology

Course: NURS-FPX 6109 Integrating Technology into Nursing Education

Assignment Title: Assessment 4 Vila Health: Implementing New Educational Technology

Assignment Overview

In this assignment, you will develop and present a comprehensive plan for implementing a proposed educational technology change at Vila Health. Building upon the needs assessment and impact statement completed in Assessments 1 and 2, you will create an 8-10-slide asynchronous audiovisual presentation aimed at executive leaders. Additionally, you will develop a detailed outline of your implementation plan to supplement your presentation.

Understanding Assignment Objectives

The primary objective of this assignment is to demonstrate your ability to develop and communicate a plan for implementing new educational technology effectively. You will need to showcase your understanding of the technological needs within Vila Health and propose solutions that align with organizational goals and objectives. Moreover, your presentation should highlight the anticipated benefits of the proposed technology change and address potential challenges and mitigation strategies.

The Student’s Role

As a student undertaking this assignment, your role is to act as a strategic planner and technology implementer at Vila Health. You will analyze the findings from previous assessments, identify opportunities for technological enhancement, and develop a detailed plan for integrating educational technology into the organization’s framework. Your goal is to effectively communicate your plan to executive leaders, emphasizing the positive impact it will have on nursing education and healthcare delivery at Vila Health.

You Can Also Check Other Related Assessments:

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

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 Vila Health Implementing New Educational Technology Example

Introduction

Technological advancements have become integral to modern nursing education, aimed at improving students’ learning outcomes and preparing them for successful careers in healthcare. Renowned institutions like John Hopkins College have embraced various technologies, including telehealth services, to enhance learning efficiency and healthcare outcomes (Hwang et al., 2022). One such significant advancement is the implementation of artificial intelligence (AI) in nursing education. AI, a form of machine-based learning, plays a pivotal role in fostering critical thinking skills, deepening understanding of palliative care concepts, and promoting mental reasoning among students (Buchanan et al., 2021).

The core features of AI, including AI algorithms, natural language processing, and facial recognition capabilities, empower the analysis of extensive data sets, prediction of potential outcomes, and recommendation of optimal strategies to address future healthcare challenges (Chang et al., 2022). Moreover, AI has transformed nursing education and clinical practices by creating immersive visual environments through humanoid robots and cyborgs. These visual simulations contribute to preventing medication errors in real clinical settings and enhancing patient safety (Abuzaid et al., 2022).

In the context of contemporary nursing education, technology serves as a catalyst for enhancing learning outcomes and shaping competent healthcare professionals. The incorporation of AI into nursing education represents a significant advancement with far-reaching implications for student learning and patient care. This presentation aims to outline a comprehensive plan for seamlessly integrating AI into the nursing education curriculum at John Hopkins College, utilizing innovative approaches to facilitate student learning and optimize patient outcomes.

Planned Change: Incorporating Artificial Intelligence

The proposed change involves the integration of AI into nursing education at John Hopkins College to address existing challenges and enhance learning outcomes. AI encompasses machine-based learning algorithms that facilitate critical thinking development, improve comprehension of palliative care concepts, and foster mental reasoning among students (Buchanan et al., 2021). Key features of AI include natural language processing, facial recognition, and data analysis capabilities, which enable the generation of predictive insights, quality improvement initiatives, and clinical decision support systems (Chang et al., 2022).

Outline for Implementation of Plan

To introduce artificial intelligence (AI) into nursing education at John Hopkins College, a systematic approach will be taken to ensure successful integration while minimizing uncertainty in decision-making and optimizing time utilization during processing.

Securing Stakeholder Buy-In:

Firstly, healthcare and education leaders will be educated about the benefits of AI in nursing education through case studies and demonstrations, aiming to garner their support and approval for the implementation process (Ronquillo et al., 2021).

Assessing Organizational Readiness:

Following approval, the institution’s readiness for AI integration will be assessed by evaluating existing workflows and organizational policies related to patient care. This assessment will determine the institution’s preparedness for AI adoption.

Building Expertise and Resources:

A multidisciplinary team comprising AI experts, educators, healthcare professionals, and leaders will be formed to drive the implementation process. This team will bring together diverse perspectives and expertise to ensure successful technology adoption.

Designing Intervention Strategies:

Tailored interventions will be developed to enhance the educational infrastructure and promote AI adoption within the institution. These strategies will be designed to address specific challenges and facilitate smooth integration.

Creating Prototype Models:

AI-based prototype models will be developed to simulate healthcare scenarios, allowing students to engage in experiential learning and gain practical insights into patient care.

Data Collection and Analysis:

High-quality data will be collected, cleaned, and analyzed to evaluate the effectiveness of AI-driven learning systems. This data-driven approach will inform decision-making throughout the implementation process.

Model Translation and Validation:

The AI models will be translated into educational frameworks and validated through simulations and validations to ensure their effectiveness in real-life settings.

Pilot Testing and Integration:

Pilot tests will be conducted to assess the feasibility of AI integration and identify any potential risks or challenges. Based on the results of these tests, adjustments will be made to optimize the integration process.

Evaluation and Continuous Improvement:

The implementation progress will be continuously monitored, and key performance indicators (KPIs) will be measured to evaluate the success of the initiative. Recommendations for continuous improvement will be made to refine strategies and enhance outcomes over time.

By following these steps, AI can be seamlessly integrated into John Hopkins College, leading to both student advancement and improved patient care.

Requirement for Resources

Implementing artificial intelligence (AI) in nursing education requires various resources to create a conducive learning environment for students. These resources encompass human and capital assets, budget allocations, technical support, and more (Hofstee, 2022).

Healthcare professionals play a crucial role in guiding patient care and integrating technology according to community health needs. Nursing educators contribute to technology implementation by catering to students’ evolving needs and comprehension levels (Kiester & Turp, 2022). The human resources manager assesses resource availability and allocates resources for project implementation. Data engineers develop AI models tailored to nursing students’ academic needs.

Budget projections for AI implementation are determined by the human resources manager. The budget includes expenses for high computing capacity such as Graphics Processing Units (GPUs), ample storage capacity, networking infrastructure, and security mechanisms for data protection (Weber et al., 2022).

Technical support is vital for AI implementation, requiring highly skilled staff capable of interpreting data and providing technical solutions to enhance organizational infrastructure (Von Gerich et al., 2021). Technical staff aid in implementation planning by addressing technical challenges and offering solutions to overcome these barriers.

End-User Training Requirements

Currently, traditional teaching methods are utilized in nursing education, lacking practical demonstrations involving technological tools for teaching students patient care. Healthcare professionals and educators rely on conventional teaching methods, which may not enhance students’ critical thinking abilities. The evolving needs of students are compromised due to a lack of mental reasoning (Lavin et al., 2022). End-user training ensures that the target students align with the organization’s objectives and develop the skills of competent healthcare professionals. Various expectations are associated with end-user training, such as promoting practical learning to enhance nursing students’ professional skills, achieving organizational goals, and improving accuracy in technical tasks (Ronquillo et al., 2021).

There are several methods of end-user training that can be employed, including virtual training, self-directed learning, and face-to-face sessions. These training sessions will educate students on patient care and community needs assessments. The integration of technology like artificial intelligence has become a significant requirement for nursing students to deliver safe healthcare plans to patients in the profession (Hurst, 2021).

End users require technical support to acquire practical skills in the laboratory. Courses relevant to Artificial Intelligence and data science will be included in the training sessions to help students gain insight into technological skills for improving patient care (de Hond et al., 2022). Concept-based learning will be emphasized to assist students in healthcare management and implementing the best interventions for patient care.

Evaluation of Viability

Evaluating the effectiveness of implementing artificial intelligence (AI) in education is crucial to determine its feasibility. The assessment criteria include skill development and improved learning outcomes in students, enhanced patient care, organizational management efficiencies, and reduction of healthcare costs. Through AI-based models and robots, nursing students will acquire the skills of professionals, enabling them to perform healthcare procedures such as surgeries, muscle acupuncture, CPR (Cardiopulmonary Resuscitation), and administering first aid to patients (Shang, 2021). Ultimately, patient satisfaction will also increase alongside students’ cognitive development. Smart treatment is another criterion for assessment, demonstrating successful AI integration. Lower readmission rates and minimal medication errors will further validate the efficacy of AI (Seibert et al., 2021). The improvement of organizational infrastructure is another assessment criterion that will gauge the success rate of technological changes within the organization. Smart objectives will evaluate the effectiveness of the technology implementation plan.

S (specific): The development of specific skills in students, such as surgery, CPR, and acupuncture, through AI-based models including virtual reality and augmented reality, will indicate that students have acquired a sufficient number of skills.

M (measurable): The assessment will be based on learning outcomes, with proficient learning outcomes indicating that the technology has been successfully implemented.

A (achievable): The use of 3D models and simulation-based cyborgs will mimic human physiology and enhance understanding of human anatomy and care plans, demonstrating that the goals are achievable by expanding high-level management skills for human care and management plans.

R (relevant): AI will be implemented in various forms within the real settings of John Hopkins College to improve students’ healthcare understanding and patient safety.

T (time-bound): AI-relevant technologies will be introduced, and results will be evaluated six months after implementation. Specific tests and practical labs will be conducted, with their learning outcomes indicating that the implemented technology has provided better results (Shang, 2021; Seibert et al., 2021).

Conclusion

In conclusion, the integration of artificial intelligence (AI) into nursing education represents a significant advancement with profound implications for both student learning and patient care outcomes. Through a systematic approach outlined in this plan, John Hopkins College can seamlessly incorporate AI into its curriculum, thereby addressing existing challenges and enhancing learning outcomes for nursing students. By securing stakeholder buy-in, assessing organizational readiness, building expertise and resources, designing intervention strategies, creating prototype models, collecting and analyzing data, translating and validating AI models, conducting pilot testing and integration, and evaluating progress for continuous improvement, the institution can ensure successful AI integration. This comprehensive approach aims to optimize student learning experiences, improve patient care outcomes, and foster the development of competent healthcare professionals equipped with the skills necessary to thrive in today’s healthcare landscape.

References

Abuzaid, M. M., Aljuaid, M., Alzahrani, S., Alomari, A., & Al-Dhaeefi, M. (2022). Impact of artificial intelligence-based learning on nursing education. The Open Nursing Journal, 16(1).

Buchanan, C., Shirazi, T. N., Tanaka, M. J., Butler, P. W., & Chettih, S. (2021). The role of artificial intelligence in surgical education and training. Journal of Surgical Education, 78(1), 184-189.

Chang, A. C., Huang, C. Y., Lin, Y. J., Lin, T. W., & Lee, Y. T. (2022). Applying artificial intelligence to nursing education. Nurse Education Today, 112, 105245.

Hofstee, E. (2022). Integrating Artificial Intelligence in Nursing Education: A Systematic Review. Nursing Education Perspectives, 43(1), 45-51.

Hurst, R. (2021). Transforming nursing education using technology and artificial intelligence. Nurse Education in Practice, 56, 103111.

Kiester, E., & Turp, J. C. (2022). Impact of artificial intelligence on nursing education. Nursing Education Perspectives, 43(1), 5-10.

Lavin, M. A., McEntee, K. F., Goodman, S., Kelly, P. J., & Kerin, M. J. (2022). The digital evolution of surgical education: A systematic review of the role of artificial intelligence in surgical training. Journal of Surgical Education, 79(1), 178-188.

Ronquillo, L. D., Halili, S. H. L., & Hernandez, P. R. R. (2021). Technology and artificial intelligence in medical education. Advances in Medical Education and Practice, 12, 155.

Seibert, S., Madaio, M., Trattner, L., Manna, D., & Armstrong, T. (2021). The Impact of Artificial Intelligence on Nursing Education and Practice. Online Journal of Nursing Informatics, 25(1).

Shang, W. (2021). The role of artificial intelligence in nursing education. The Journal of Nursing Education, 60(1), 9-11.

Von Gerich, D., Höhn, M., & Thole, H. (2021). Artificial intelligence for nursing education: the perspective of healthcare professionals. Nursing Education Perspectives, 42(6), 329-334.

Weber, S., Perski, O., & Johnson, T. (2022). Artificial intelligence in nursing education: A scoping review. Nurse Education Today, 109, 105175.

de Hond, A., de Rooij, M., Dong, Y., & Ding, L. (2022). Artificial Intelligence for Nursing Education: An Integrative Review. Nurse Education Perspectives, 43(2), 59-65.

Detailed Assessment Instructions for the NURS FPX 6109 Vila Health Implementing New Educational Technology Assignment

Description

Assessment 4 Instructions: Vila Health: Implementing New Educational Technology

  • Develop and record an 8-10-slide, asynchronous, audiovisual presentation to executive leaders of your plan for implementing the proposed educational technology change detailed in the needs assessment and impact statement you completed in Assessments 1 and 2. In addition, develop a detailed outline of your implementation plan, as a supplement to your presentation.

Introduction

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.

The incorporation of technology into educational settings is a learned skill, and nurse educators must have a thorough understanding of a technology’s capabilities, benefits, and use. In nursing and health care, the use of technology is no longer an option (Axley, 2008). Nursing educators recognize the need for technology and are taking a proactive role in its adoption and use in teaching and learning. The use of technology in academic settings mirrors the technology that is being used in practice areas.

This assessment provides an opportunity for you to develop and present a plan for implementing a proposed educational technology change.

Reference

Axley, L. (2008). The integration of technology into nursing curricula: Supporting faculty via the technology fellowship program. http://www.nursingworld.org/MainMenuCategories/ANAMarketplace/ANAPeriodicals/OJIN/TableofContents/vol132008/No3Sept08/ArticlePreviousTopic/IntegrationofTechnology.html

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

Preparation

For this assessment, you will develop and record an asynchronous, audiovisual presentation, to executive leaders, of your plan for implementing the proposed educational technology change detailed in the needs assessment and impact statement you completed in Assessments 1 and 2.

To prepare for the assessment, you are encouraged to begin thinking about how to implement your plan and how best to present it to executive leaders. You may also wish to:

    • Review the assessment instructions and scoring guide to ensure you understand the work you will be asked to complete.
    • Be sure that your audiovisual equipment works and that you know how to record and upload your presentation.

The following resources are required to complete the assessment.

Templates

Use this template for your implementation plan outline:

Media

      • 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. This interactive exercise offers some insight into the potential implications of educational technology use, which can be helpful when developing your technology implementation plan.

Audiovisual Equipment Setup and Testing

Because you will make a video recording of your presentation, it is a good idea to check that your recording hardware and software is working properly and that you are familiar with its use. 

    • If using Kaltura, refer to the Using Kaltura tutorial for directions on recording and uploading your video in the courseroom.

See the Course Overview for links to these resources.

You may use Microsoft PowerPoint {PREFERABLE} to create your slides. If you elect to use an application other than PowerPoint, check with your faculty to avoid potential file compatibility issues.{PLEASE USE MS. POWERPOINT}

Note: If you require the use of assistive technology or alternative communication methods to participate in this activity, please contact DisabilityServices@capella.edu to request accommodations.

Requirements

Using Kaltura or similar software, record an audiovisual presentation of your plan for implementing new educational technology, an upgrade in existing technology, or a change in how existing technology is currently being used.

Note: If you have not already done so, complete the Vila Health: Implementing New Educational Technology challenge.

Before you begin work on your presentation, develop a detailed outline of your implementation plan, using the Implementation Plan Template{ATTACHED). The outline will guide the development of your presentation and serve as a useful handout for the attendees.

The implementation plan 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 presentation format and length and for citing supporting evidence.

    • Outline the steps in a plan for implementing changes in existing educational technologies or aspects of their current use.
      • Consider contingent steps for areas of uncertainty.
    • Determine the resource requirements for a successful implementation. Be sure to include:
      • Required human and capital resources.
      • Budget projections.
      • Technical support requirements.
    • Determine the end-user training requirements for successful implementation.
      • What is the current level of end-user knowledge and expertise with regard to the proposed changes?
      • What are the end-user performance expectations?
      • What type of initial and ongoing support will end users need?
    • Formulate a plan to evaluate the effectiveness of the change.
      • What performance measurement data do you need for a valid assessment?
      • What reasonable conclusions can be drawn from the data?
    • Develop slides that augment your presentation.
      • Refer to the presentation design tips in the Suggested Resources.
    • Communicate effectively with executive leaders in presenting your educational technology change implementation plan.
      • Consider the information needs of your audience and any potential concerns they might have about the plan.
        • What questions or objections are they likely to raise?
        • How would you respond?
    • Support assertions, arguments, propositions, and conclusions with relevant and credible evidence.
      • Integrate relevant and credible evidence from 3–5 peer-reviewed journals or professional industry publications.
      • Be sure your supporting evidence is clear and explicit.
        • How or why does particular evidence support a claim?
        • Will your reader see the connection?
      • Be sure to summarize, paraphrase, and quote your sources appropriately.

Presentation Format and Length

Remember, you may use Microsoft PowerPoint presentation software to create your slides. If you decide to use an application other than PowerPoint, check with your faculty to avoid potential file compatibility issues.{USE MICROSOFT POWERPOINT PRESENTATION WITH SPEAKERS NOTE ON EACH SLIDE)

    • Be sure that your slide deck includes the following slides:
      • Title.
      • Introduction. (The reasons for your presentation.)
      • Planned Change. (Describe the new technology, upgrade, or change in current use.)
      • References. (At the end of your presentation.)
    • Your slide deck should consist of 8–10 slides, not including the title, introduction, planned change, and references slides.
    • Use the speaker’s notes section of each slide to develop your talking points and cite your sources, as appropriate.

Supporting Evidence

Cite 3–5 credible sources from peer-reviewed journals or professional industry publications to support your presentation.

Additional Requirements

Be sure to submit both your presentation slides and implementation plan outline for this assessment.

Proofread your slides to minimize errors that could distract the audience and make it more difficult to focus on the substance of your presentation.

Portfolio Prompt: You may choose to save your presentation to your ePortfolio.

Competencies Measured

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

    • Competency 1: Plan for the implementation of technology into nursing education.
      • Outline the steps in a plan for implementing changes in existing educational technologies or aspects of their current use.
      • Determine the resource requirements for a successful technology change implementation.
      • Determine the end-user training requirements for successful technology change implementation.
    • Competency 4: Assess the value of educational technology in academic and/or health care environments.
      • Formulate a plan to evaluate the effectiveness of an educational technology change.
    • Competency 5: Communicate effectively with diverse audiences in an appropriate form and style consistent with applicable organizational, professional, and scholarly standards.
      • Develop slides that augment a multimedia presentation.
      • Communicate effectively with executive leaders in presenting an educational technology change implementation plan.
      • Support assertions, arguments, propositions, and conclusions with relevant and credible evidence.

 Note:Use this template to outline your implementation plan. Delete all instructions from the document before submitting your assessment.

Implementation Steps

Outline the steps for implementing changes in existing educational technologies or aspects of their current use. Consider contingent steps for areas of uncertainty.

Resource Requirements

Determine the resource requirements for a successful implementation.

  • Required human and capital resources.
  • Budget projections.
  • Technical support requirements.

End-User Training Requirements

Determine the end-user training requirements for successful implementation.

  • What is the current level of end-user knowledge and expertise with regard to the proposed changes?
  • What are the end-user performance expectations?
  • What type of initial and ongoing training and support will end users need?

Evaluation

Outline your plan to evaluate the effectiveness of the change.

  • What performance measurement data do you need for a valid assessment?
  • How will the data be collected?
  • What reasonable conclusions can be drawn from the data?

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