Name
Capella University
NURS-FPX 6111 Assessment and Evaluation in Nursing Education
Prof. Name
Date
In Healthcare Technology Management (HTM), instructors administer a concise survey to students after a course to assess their experiences. This assessment questionnaire aims to gather comprehensive feedback to improve the learning environment for future classes. Due to its proven reliability and validity, the Likert scale is utilized to evaluate HTM course outcomes. This rating tool consists of five levels of agreement, grading from strongly agree to strongly disagree, with additional categories for neutrality to ensure impartial feedback (Ephraim, 2020).
Various evaluation systems have been developed to provide a precise quantitative evaluation of opinions. The Likert scale allows the participant to rate their level of agreement or disagreement with the given information. This tool typically uses a five-point scale from strongly agree to disagree strongly, providing valuable insight into students’ understanding and perspectives on HTM (Ephraim, 2020).
Instructions:You have received an assessment questionnaire to evaluate the alignment of the current curriculum with program goals and expected outcomes. Additionally, assess your personal growth as a learner and your proficiency in utilizing healthcare IT expertise in diagnostic procedures. Take the time to carefully review the table and respond honestly by selecting the most appropriate response based on the provided scale, ranging from strongly disagree to strongly agree. Remember to select only one response per column. | |||||
Course Title: Healthcare Technology Management (HTM) Faculty Name: Date: Learning Outcomes: | Strongly Disagree | Disagree | Neutral | Agree | Strongly agree |
I am now more confident in advocating for prioritizing medical practice with technological outcomes. | |||||
Based on my observation, multidisciplinary teams that utilize technology for communication and sharing of findings achieve superior outcomes. | |||||
Through statistical analysis, I am capable of identifying the most efficient approach for patient prevention across various diseases. | |||||
Through statistical analysis, I am capable of identifying the most efficient approach for patient prevention across various diseases. |
In the HTM course, “learning outcomes” refer to the anticipated levels of understanding, proficiency, and behavior that students are expected to demonstrate upon completing the program. The evaluation uses the Likert scale to gauge student responses regarding various learning outcomes. Student feedback is categorized into disagree, slightly agree, and strongly agree, allowing for the identification of proportions between those confident in their knowledge and those not. Insights into students’ readiness to utilize healthcare technology integration is obtained from their responses. Analyzing learners’ test results within this framework can effectively assess educational outcomes (Harerimana & Mtshali, 2020).
The program evaluation will incorporate open-ended and closed-ended questions, ensuring students receive a comprehensive reflection of their learning experience. The essence of course assessment is to assess the alignment between program content, intended learning outcomes, and the instructor’s strategies for achieving those objectives (Harerimana & Mtshali, 2020).
The Course helped to develop: | Strongly Disagree | Disagree | Partial | Agree | Strongly agree |
Cognitive domain | |||||
I have cultivated proficiency in employing critical thinking abilities within virtual environments. | |||||
I have now reached a stage where I can apply my knowledge of medical equipment effectively in practical situations. | |||||
I have acquired the capacity to think critically and exhibit rational behavior across diverse healthcare scenarios. | |||||
I have cultivated the ability to engage in critical thinking and respond effectively. | |||||
Psychomotor Domain | |||||
I am confident in my proficiency in accurately utilizing blood pressure measuring devices. | |||||
I am entirely confident in the effectiveness of the Electronic Health Record system. | |||||
I have strong confidence in my capability to utilize telehealth monitoring tools. | |||||
Operating infusion pumps has been straightforward for me. | |||||
Affective Domain | |||||
My capacity to comprehend and address patients’ worries has enhanced. | |||||
I have enhanced my capability to fulfill my patients’ expectations. | |||||
I am now capable of considering the patient’s viewpoint. |
The evaluation of the program is based on the following assumptions:
The program effectively attained its intended outcomes: | Strongly Disagree | Disagree | Partial | Agree | Strongly agree |
Expressing the application of technology consequences in medical practice concerning nursing informatics. | |||||
Enhanced technological advancements integrated through collaborative efforts across multiple disciplines. | |||||
Strategy for preventing patient illnesses further. | |||||
Analytical assessment of clinical and statistical research documents. |
The Likert scale has been utilized in this setting to explore the alignment between the program’s stated objectives and achieved outcomes. These findings have been leveraged to assess learner advancement and potential. Studies have utilized it to evaluate the congruence between the program’s intended outcomes and actual student attitudes, behaviors, and comprehension shifts. The data from the assessment were utilized to identify areas of instruction requiring enhancement to facilitate the most significant improvement in student performance (Huang et al., 2023).
The assessment criteria for the format encompass comprehensiveness, user-friendliness, flexibility, validity, and reliability. It ensures a comprehensive evaluation of all pertinent learning objectives and program outcomes. This format facilitates a thorough assessment of the entire educational journey. The format is designed to be user-friendly, promoting ease of completion for students and encouraging high levels of participation and genuine feedback. Its flexibility allows for adaptation to various courses and learning environments in diverse educational settings. The evaluation format is engineered to gauge the course’s effectiveness across different contexts (Huang et al., 2023).
The evaluation process, which incorporates both open-ended and closed-ended questionnaires, demonstrates strong validity and reliability. With a reliability rate of 94%, the Likert Scale yields widely recognized and trusted results, hence serving as the foundation for this assessment (Taira et al., 2021).
The course evaluation for HTM utilized a comprehensive assessment template, incorporating the Likert scale for its reliability and validity. The evaluation aimed to gauge alignment with program objectives, student growth, and proficiency in healthcare IT. Learning outcomes were assessed across cognitive, psychomotor, and affective domains. These outcomes revealed advancements in critical thinking and technological proficiency. The evaluation process relied on assumptions. The assumptions were regarding the correlation between educational quality and instructor effort, standardized course objectives, and the application of technology in healthcare. The assessment criteria focused on comprehensiveness, user-friendliness, and flexibility, ensuring a thorough evaluation of program effectiveness. Despite the strengths of the Likert scale, challenges included addressing neutral responses and ensuring respondents provided honest feedback. The evaluation process offered valuable insights into program outcomes and areas for improvement. (Jebb et al., 2021).
Ephraim, N. (2020). Mentoring in nursing education: An essential element in the retention of new nurse faculty. Journal of Professional Nursing, 37(2), 306–319. https://doi.org/10.1016/j.profnurs.2020.12.001
Harerimana, A., & Mtshali, N. G. (2020). Using exploratory and confirmatory factor analysis to understand the role of technology in nursing education. Nurse Education Today, 92, 104490. https://doi.org/10.1016/j.nedt.2020.104490
Huang, H.-M., Huang, C.-Y., Lin, K.-C., Yu, C.-H., & Cheng, S.-F. (2023). Development and psychometric testing of the clinical reasoning scale among nursing students enrolled in three types of programs in Taiwan. Journal of Nursing Research, 31(2), e263. https://doi.org/10.1097/jnr.0000000000000547
Jebb, A. T., Ng, V., & Tay, L. (2021). A review of key likert scale development advances: 1995–2019. Frontiers in Psychology, 12(1), 1–14. https://doi.org/10.3389/fpsyg.2021.637547
Pizzuti, A. G., Patel, K. H., McCreary, E. K., Heil, E., Bland, C. M., Chinaeke, E., Love, B. L., & Bookstaver, P. B. (2020). Healthcare practitioners’ views of social media as an educational resource. Plos One, 15(2), e0228372. https://doi.org/10.1371/journal.pone.0228372
Taira, B. R., Kreger, V., Orue, A., & Diamond, L. C. (2021). A Pragmatic Assessment of Google Translate for Emergency Department Instructions. Journal of General Internal Medicine, 3361–3365. https://doi.org/10.1007/s11606-021-06666-z
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