NURS FPX 6116 Assessment 3
NURS FPX 6116 Assessment 3
Student Name
Capella University
NURS-FPX6116 Nursing Education Assessment and Evaluation
Prof. Name
Date
Criteria and Rubric Development for Telehealth Nursing Assessment
Overview of the Assessment Framework
The telehealth nursing course assessment at Riverside Community Hospital is structured to evaluate learners’ competence in delivering virtual healthcare services. It is aligned with course objectives that integrate theoretical understanding with hands-on clinical application. The assessment is designed using three learning domains—cognitive, psychomotor, and affective—to ensure a holistic evaluation of students’ readiness for telehealth practice. This structure enables the measurement of knowledge application, technical skill performance, and professional attitude, particularly cultural sensitivity and ethical awareness.
The assessment is administered at the end of the course. The written and simulation components are conducted in a controlled academic environment, while the reflective essay is submitted electronically.
Part One – Assessment Description and Rationale
Assessment Description
The telehealth nursing assessment is a multi-component evaluation designed to measure students’ ability to function effectively in virtual care settings. It consists of three distinct stages, each aligned with a specific learning domain:
- Cognitive Domain Assessment: A 20-item multiple-choice examination that evaluates theoretical knowledge of telehealth principles, communication methods, and digital healthcare technologies.
- Psychomotor Domain Assessment: A simulated telehealth consultation that assesses students’ ability to operate telehealth platforms and conduct virtual patient assessments accurately and safely.
- Affective Domain Assessment: A reflective essay focused on cultural competence, ethical practice, and professional attitudes in telehealth nursing.
These components collectively ensure that learners demonstrate cognitive understanding, clinical technical ability, and professional ethical awareness in virtual healthcare environments.
Rationale for the Assessment Design
The assessment strategy aligns with the MSN Practicum Conference Call objectives by integrating theoretical knowledge with applied telehealth skills while emphasizing cultural competence.
The multiple-choice examination evaluates foundational cognitive knowledge required for telehealth practice. Research indicates that structured digital learning approaches enhance critical thinking and clinical decision-making in nursing education (Zheng et al., 2022).
NURS FPX 6116 Assessment 3
The simulation component develops psychomotor competence by requiring learners to demonstrate practical use of telehealth systems and patient assessment techniques in a controlled environment (Changiz et al., 2021).
The reflective essay strengthens affective learning by encouraging students to critically evaluate their ethical responsibilities and cultural awareness in virtual care settings.
Additionally, Wei and Peng (2025) emphasize that lower-level cognitive skills are effectively assessed using quizzes, while higher-order thinking requires structured case-based and reflective evaluation supported by rubrics.
NURS FPX 6116 Assessment 3
To ensure assessment quality and reliability:
- The exam is peer-reviewed by faculty experts.
- The simulation is pilot-tested with a small student group.
- Student feedback is collected to improve validity and effectiveness (Imanipour et al., 2023).
This comprehensive approach aligns with AACN Essentials and QSEN competencies, ensuring that graduates meet national nursing education standards.
Part Two – Grading Rubric
Course Information
| Category | Details |
|---|---|
| Course Title | Telehealth Nursing Course |
| Learner | Esohe |
| Faculty | Carie Braun |
| Date | May 2025 |
Rubric for Evaluation Criteria
C1 – Case Study: Application of Evidence-Based Telehealth Practice
| Level | Performance Description |
|---|---|
| Non-Performance | Does not apply evidence-based strategies or fails to submit work. |
| Basic | Applies irrelevant or unsupported strategies with limited explanation. |
| Proficient | Applies appropriate evidence-based strategies and explains telehealth support in care delivery. |
| Distinguished | Integrates well-defined evidence-based strategies aligned with patient needs and telehealth best practices, supported by scholarly evidence. |
C2 – Virtual Simulation: Patient Assessment & Technology Use
| Level | Performance Description |
|---|---|
| Non-Performance | Does not participate or demonstrates unsafe practice. |
| Basic | Participates with frequent errors in assessment or platform use. |
| Proficient | Performs virtual assessment with minimal errors and demonstrates safe care. |
| Distinguished | Demonstrates advanced clinical judgment, platform mastery, and provides detailed performance evaluation. |
C3 – Reflective Journal: Cultural Competence and Ethical Practice
| Level | Performance Description |
|---|---|
| Non-Performance | No submission or does not address ethics or culture. |
| Basic | Provides surface-level reflections with limited depth. |
| Proficient | Demonstrates thoughtful reflection on cultural and ethical issues. |
| Distinguished | Provides deep, personal reflection linking ethics and cultural competence to real-world telehealth practice and professional standards. |
C4 – Role-Play: Interprofessional Communication Skills
| Level | Performance Description |
|---|---|
| Non-Performance | Does not participate or shows lack of collaboration. |
| Basic | Limited communication clarity and teamwork. |
| Proficient | Communicates clearly and demonstrates understanding of professional roles. |
| Distinguished | Demonstrates highly effective, patient-centered, collaborative communication grounded in interprofessional telehealth standards. |
C5 – Alignment With Course and Program Outcomes
| Level | Performance Description |
|---|---|
| Non-Performance | No alignment with course or program outcomes. |
| Basic | Partial alignment but lacks clarity or relevance. |
| Proficient | Clearly aligns work with course objectives and program competencies. |
| Distinguished | Fully integrates course outcomes, BSN competencies, AACN, QSEN, and ANA standards into professional nursing practice. |
Summary of Assessment Structure
| Component | Learning Domain | Purpose |
|---|---|---|
| Multiple-Choice Exam | Cognitive | Assess theoretical knowledge of telehealth systems and communication |
| Simulation | Psychomotor | Evaluate technical and clinical telehealth skills |
| Reflective Essay | Affective | Assess cultural competence and ethical reasoning |
Conclusion
The telehealth nursing assessment provides a structured and evidence-based framework for evaluating student competency in virtual healthcare delivery. By integrating cognitive, psychomotor, and affective domains, it ensures balanced professional development across knowledge, skills, and attitudes. Continuous refinement through peer review, pilot testing, and learner feedback strengthens its reliability and alignment with national nursing education standards.
References
Changiz, T., Amouzeshi, Z., Najimi, A., & Adibi, P. (2021). A narrative review of psychomotor abilities in medical sciences: Definition, categorization, tests, and training. Journal of Research in Medical Sciences, 26, 69. https://doi.org/10.4103/jrms.JRMS_965_19
Imanipour, M., Mirzaeipour, F., & Hazaryan, M. (2023). Effectiveness of feedback type on performance quality and satisfaction of nursing students: A comparative interventional study. Journal of Education and Health Promotion, 12(1), 324. https://doi.org/10.4103/jehp.jehp_1178_22
NURS FPX 6116 Assessment 3
Wei, Y., & Peng, Z. (2025). Application of the flipped classroom model based on Bloom’s Taxonomy of Educational Objectives in endodontics education for undergraduate dental students. PeerJ, 13, e18843. https://doi.org/10.7717/peerj.18843
Zheng, J., Tayag, J., Cui, Y., & Chen, J. (2022). Bloom’s classification of educational objectives based on deep learning theory, teaching design of nursing specialty. Computational Intelligence and Neuroscience, 2022, 1–8. https://doi.org/10.1155/2022/3324477