NURS FPX 6116 Assessment 5 Program Effectiveness Presentation

NURS FPX 6116 Assessment 5

Program Effectiveness Presentation

Student name

Capella University

NURS-FPX-6116 

Professor Name

Submission Date

Slide: 1

Hello, my name is_______, the course, Healthcare Informatics and Technology in Nursing Practice, has been developed with attention to the changing needs of nursing education and includes the elements of simulation-based learning, structured debriefing, and incorporation of the national standards, including American Association of Colleges of Nursing (AACN) Essentials and Quality and Safety Education for Nurses (QSEN) competencies.

Slide: 2

Program Effectiveness Presentation

The plan that is proposed in the given presentation implies the systematic evaluation of the course effectiveness, which implies the primary evaluation design and framework, and constant improvement of the program. In the company of formative and summative assessment, we will attempt to verify that the course meets its suppositions and communicate its learning goals that are consistent with the program goals (Gaughan et al., 2022). This will act as a future reference in the improvement of this process and the degree to which such a course will allow the nurse educators to meet the needs of modern healthcare education.

Slide: 3

Philosophical Approaches to Evaluation

The constructivist philosophy and formative philosophy of evaluation could be used to develop the philosophy of evaluation to be applied in the evaluation of the success of the course on healthcare informatics and technology at the nursing practice level. Constructivist evaluation entails, according to it, that learners become the primary participants of the analysis process, and that they are also linked to the course that encompasses simulation-based instructional methods and critical thinking (Kleib et al., 2022). The approach will ensure that the course is dynamic to address the evolving needs of the learners based on engagement, innovation, and self-directed learning. In contrast, formative evaluation is related to immediate feedback and enhancement, and the latter are part of the final project of the simulation design. The peers, faculty, and self-reflection feedback also affect the continuous improvement (Tseng et al., 2021). The pragmatic approach also results in the evaluation being a reality-based, observable thing which could be matched or aligned with course objectives to a national standard, including: AACN Essentials, QSEN competencies, and National League for Nursing (NLN) Core Competencies. The result of the two philosophies together presents both the qualitative and quantitative data, which attempts to fine-tune the course to produce a better result among the learners.

Slide: 4

Broken Down Evidence Evaluation

The evidence ratings were also carried out sequentially, with one that was performed earlier, as the rubric has been programmed to consider the final project in simulation design, which considers the cognitive, psychomotor, and affective domains. It can be defined as an authoritative source of evidence since it aligns with the existing concepts of nursing education, including the high-fidelity simulation, systematic debriefing, and curriculum integration of nursing education (Altmiller and Pepe, 2022). The role of the instructors and the role of the peers make it evident that such a course will be reinforced with evidence to prove such a fact, as it is shown in the methods of evaluation, just as it happened with the previous tests. This sight of the national standards not only guarantees the application of the evaluation on the tested and supported framework, but also the effectiveness and dependability of the proposed evaluation plan.

Slide: 5

Steps of the Program Evaluation Process

The evaluation procedure of the program, which is being examined as the Healthcare Informatics and Technology in Nursing Practice, possesses a definite pattern. The first one is to establish clear learning outcomes and to match them with the program objectives as revealed in the earlier tests, in other words, the combination of AACN Essentials and QSEN competencies. This is followed by the course implementation that implies the formative evaluation as part of the curriculum, application of simulations, debriefing, and the final simulation design project (Lee et al., 2024). This will offer a continuum in evaluation and feedback, and in this instance, they can adjust teaching plans. Information will then be collected through several evaluation processes, including student surveys, peer reviews, and faculty review. The final one would be to draw a meaning of the evidence on how the learning outcomes were achieved, as indicated by the check, like what the course requirements (cognitive, psychomotor, affective domains) entail in terms of the efficiency of integration (Taylor and Francis, 2023). It is also a time when analysis may lead to course correction to improve the effectiveness of teaching and the outcomes of the students.

Slide: 6

Limitations of the Program Evaluation Process

Despite the sound process of the program evaluation, some limitations can disrupt the success of the program. The initial limitation is bias in the measures, particularly where the data involved is self-report in terms of writing the reflective journals or any peer reviews, because this may vary depending on how the individuals perceive it. The other limitation is the gap that exists in background knowledge and familiarity level of students about simulation-based education, and this might affect the consistent stream of outcomes (O’Connor and LaRue, 2020). Moreover, it could be questioned whether the evaluation could be accurate because the course evaluations would not be accurate, as no information regarding the real students would be provided. The affective domain, which encompasses aspects like emotional intelligence and student motivation, must also be intricate and subjective; hence, it is hard to develop objective and reliable measurements. Lastly, the course will be founded on national standards, but still, it may not cover the evolving needs of nursing education in an evolving healthcare world as comprehensively as possible.

Slide: 7

Evaluation Design, Framework, or Model for Program Improvement

The course named Healthcare Informatics and Technology in Nursing Practice has observed the mixed-methods design of the evaluation, since it entails both the formative assessment and the summative one simultaneously. This approach creates a constant reaction to simulations, debriefing supervisor sessions, and peer reviews to make the course better at any given time. The first tests, such as the peer reviews and reflective journaling during the post-simulation situations, provide live data about the receptiveness of the students and the perception of effectiveness of the lectures described in the above tests (Awrahman et al., 2022). The assessment, specifically the final simulation design project, offers a personal assessment of cognitive, psychomotor, and affective gains of learning among the students. The design corresponds to the preferential practices promoted by evidence-based practice, such as the International Nursing Association to Clinical Simulation and Learning (INACSL) standards and the AACN Essentials, according to which the course curriculum and content delivery, and the type of instruction are up-to-date with the nationwide standards. Another aspect reiterated by the model is the need to enhance iteration through the incorporation of routine review regarding the feedback, as well as the need to listen to the performance information to improve the course content and the teaching performance.

Slide: 8

Restrictions of the Evaluation Design

The weakness of this form of evaluation is, in the first place, connected with the fact that this type of evaluation may be subjective in nature, particularly with the application of such qualitative assessment tools as the reflective journals and the application of peer reviews. They provide valuable information about what the learners went through, yet they are likely to be biased, which may compromise the quality of the data. In addition, the application of high-fidelity simulations to test psychomotor skills can be incomplete as the simulation provides variables under control settings that cannot be compared to clinical setting realities (Ntumi, 2025). Moreover, the actual effectiveness of the course is also barely achievable to calculate since the assessment is hypothetical, and no actual information concerning the learners is provided. The other weakness is that the exposure to simulation technology is varied among the students, which can result in inconsistency in outcomes. Finally, the course- even though it was designed based on the national guidelines- may not be capable of recognizing new trends and/or possible local needs in the nursing academic background and may disrupt further applicability.

Slide: 9

Ongoing Program Improvement Involves Data Analysis

Data analysis plays an important role in ensuring that a program can be continuously reinforced, in this case, of course, healthcare informatics and technology in nursing practice. Such data analysis, which combines quantitative and qualitative statistics, can assist faculty in observing patterns in learning and the efficiency of the teaching, such as a quiz performance, a performance checklist in a simulation, and reflective journaling (Kleib et al., 2021). As an example, pre and post simulation quizzes can be used to determine cognitive gains of the students and will be able to determine whether course materials are pertinent to the learning objectives. Additionally, peer reviews and faculty observations of simulations would allow evaluating the success of students in the incorporation of intellectual, psychomotor, and affective domains, which are critical in the learning rubrics of the course. The analysis of data might also enable the quantification of the tendencies in student performance and the degree of interaction and, therefore, enable the instructor to understand that the teaching method might need to be adjusted, be it the pace or the complexity of a simulation (Altmiller and Pepe, 2022). The analysis of the data, which will be performed regularly, will assist the course in developing based on the needs of the students and aligning with the national standards, including AACN Essentials or QSEN competencies. It also helps in enhancing course rubrics and assessment rubrics about student performance, therefore, making feedback feasible and capable of producing quantifiable outcomes.

Slide: 10

Bleeding and Gaps in Knowledge

Even though data analysis is essential in improving a course, there are still several gaps of uncertainty. Among the most famous knowledge gaps, it is possible to enumerate the lack of real learner statistics, since this limits the potential of the actual course effectiveness measurement. Without the actual data on the performance of the students, it is hard to predict long-term outcomes of learning (Awrahman et al., 2022). Moreover, it possesses uncertainties on the occasions when it is perceived to determine the subjective problems of emotional intelligence and student motivation, which are the necessary ones in the influence of the affective domain that cannot be easily measured. Moreover, the discrepancy in exposing the students to simulation technology may affect the consistency with which the students undergo the learning experience, which would add different aspects to the eventual outcomes that could misrepresent the analysis of the results. Lastly, one would want to know more about the evolving patterns of nursing education, particularly those that have emerged due to the advancement of technology or the advancement of health care processes, and make the course dynamic and relevant in an environment that is constantly shifting.

Slide: 11

Conclusion

The course evaluation of healthcare informatics and technology in nursing practice is essential for the successful continuity of the running operations of the course to attain the learning outcomes and program outcomes. In the context of such a comprehensive evaluation, where formative and summative assessment can be considered, we are in a position to decide on how to rectify and refocus the teaching strategies to provide a superior service to the future nurse educators. The validation that the course is adapted to the new trends in nursing education can be done by data analysis, continuous feedback, and correspondence to the national standards. The iteration will also help in producing knowledgeable, qualified nurse educators who ought to be in a position to cope with the pressure of modern healthcare institutions.

If you are looking the 3rd assessment of this class visit: NURS FPX 6116 Assessment 3