Stages Of Model Development Research Articles

Prophetic-based Conflict Management Model in Senior High School

The lack of competence of principals in resolving conflicts in schools is of particular concern because it is related to the progress of an educational institution. This study aims to develop models and research products that are useful for education and literacy used by school principals in managing conflict in schools. The research method used is the research and development of the ADDIE model. The research subjects were linguists, materials experts, and learning design experts to validate research products, while to test user responses, the subjects selected were the principal of SMA PGRI Metro City, SMA Ma’arif 1 Metro City, and SMA Muhammadiyah 02 Metro City. Data collection was done using questionnaires, and the results were analyzed qualitatively and descriptively. This research went through several stages, namely: 1) the model development stage, which was carried out at the analysis stage, namely analyzing the characteristics of the school; 2) the feasibility of a prophetic-based conflict management model product; and 3) the use of the prophetic conflict management module through user response testing. As a result, prophetic conflict management is in the very good category to use. The format and layout aspects of the conflict management module fall into the very appropriate category. In the aspect of writing, the Prophetic conflict management module is in the very appropriate category. In the aspect of formulating the outline of the material, the principal must improve conflict management skills by participating in training or developing conflict management capacity in schools. The implementation of the principal’s role in creating a harmonious and comfortable school organizational climate can be realized if he can demonstrate fair and responsible leadership behavior.
 Keywords: Principal, Prophetic-Based Conflict Management

Pengembangan Media Pembelajaran Interaktif Berbasis Articulate Storyline Untuk Meningkatkan Kemampuan Pemahaman Konsep Matematis Siswa SMA Negeri 2 Kabanjahe

Based on the analysis of needs in the learning process, it is necessary to develop interactive learning medium. This study aims to produce a product in the form of an interactive learning media based on Articulate Storyline which is valid, practical, and effective in improving students' understanding of mathematical concepts. This research and development is designed based on the stages of the ADDIE development model (Analyse, Design, Development, Implementation, and Evaluate). The subjects in this study were students of class X IPA 5 SMA Negeri 2 Kabanjahe, which consisted of 36 students. Based on the research which has been done, the validity of the interactive learning media developed obtained an average percentage of 87.26% by media experts and 87.82% by material experts with qualifications classified as very valid. Through the results of teacher responses and student responses in limited trials and field trials, an average percentage of assessment was obtained 94.5% by teachers, 85.67% by students in limited group trials and 86.07% by students in field trials with qualifications classified as very practical to be used in the learning process. The implementation of the application of interactive learning media that has been carried out to see the effectiveness with a set benchmark obtains results, namely for classical learning completeness, it reaches 80.56%, and the average percentage of effectiveness questionnaires is 94.72% with qualifications classified as effective. The increase in ability to understand mathematical concepts that occurs is a moderate increase. Based on the research acquisition data, it was concluded that the Articulate Storyline-based learning media developed in this study is valid, practical, and effective qualifications.

Water Quality Assessment of Remote Sensing Techniques: A Comparative Insight Between Yangtze of China and Porong of Indonesia

The river water quality, exceptionally the total suspended solid (TSS) in China and Indonesia, has deteriorated due to human activities. Remote sensing makes it easier for observers to monitor river water quality, especially TSS. However, measuring the river water quality by remote sensing is still in the model and algorithm development stage in China and Indonesia. This study aims to identify the river water quality on remote sensing in China's Yangtze River and Porong River, East Java, Indonesia, and to analyze comparisons of river water quality on remote sensing in Yangtze River, China, and Porong River, East Java, Indonesia. This method uses a literature review based on journals, articles, and primary sources to review related literature on TSS concentrations in rivers and remote sensing in China and Indonesia. River water monitoring methods can measure the TSS in China and Indonesia using remote sensing. Many water quality models for waterways are based on different satellite images. In the Yangtze Downstream River, the algorithm of TSS uses the latest random forest on Landsat-8. The algorithm of TSS in the Porong River estuary used linear regression on sentinel-2 imagery. These TSS algorithms can more precisely assess TSS in water quality for scientific studies. The results show that the latest random forest is a more precise remote sensing algorithm in China than Linear regression in Indonesia. The suspended solid models and remote sensing images such as China's MODIS, Landsat-8, and MERIS are accurate in China. Therefore, developing more precise remote sensing techniques, total suspended solid models composed of Wiggin's Algorithm and Markert Algorithm, NDWI Algorithm, and remote sensing imagery such as Sentinel-2 and Landsat-8 in Indonesia is crucial to determine total suspended solids. The researchers additionally contribute to advanced research toward advancing suitable remote sensing techniques in various areas in Indonesia.

Klasifikasi Kelayakan Penerima PPKS Usulan BPNT dan PHK Lanjut Usia Non Tunai menggunakan Algoritma Cart di Kabupaten Seruyan

The purpose of this research is to classify the eligibility of recipients of Non-Cash Food Assistance (BPNT) and recipients of the Prosperous Family Program (PPKS) and (PHK) for the elderly proposed in Seruyan District using the CART (Classification and Regression Tree). Algorithm The purpose of the Living Allowance is to assist those in need in meeting their food and welfare needs, especially for underprivileged and elderly families. The research data was obtained through a direct survey of potential beneficiaries in Seruyan District. The data is then processed in the preprocessing stage to ensure good data quality before being used to develop the CART model. The CART model development stage is carried out by dividing the data into two parts, namely. training data and test data, to train and test model performance. The estimation results of the CART model show an accuracy of 87.50%, Precision of 87.50%, and Sensitivity or Recal of 100.00%. Analyzing the results revealed that socioeconomic factors such as family income, employment status, and housing conditions had a significant impact on beneficiary eligibility. These findings provide valuable information for improving social assistance distribution policies in Seruyan District so that assistance is more targeted and maximizes benefits for beneficiary communities. This study is expected to increase the effectiveness and efficiency of the distribution of income assistance and improve the quality of life of beneficiary communities. However, this research has limitations because it was only conducted in one district, so further research is needed with a more representative sample to ensure validity and wider application.

Super Innovation in Higher Education by Nurturing Business Leaders through Incubationship

Purpose: In the ever-evolving landscape of higher education (HE), the need for academic innovation has never been more apparent. As we stand on the threshold of a new era defined by rapid technological advancements, shifting economic paradigms, and global challenges, it becomes imperative to reimagine the way we prepare our students for the future. With the threat of AI-based automation of jobs and hence tumbling employment, there is a greater demand to create entrepreneurs. In response to this demand, the concept of incubationship has emerged as a super-innovation with the potential to revolutionize higher education. Incubationship, a transformative process that guides students in identifying and nurturing their own business ideas to ultimately launch startups, represents a profound departure from conventional educational models. It signifies a fundamental shift in how we perceive the intersection of education, entrepreneurship, and innovation. Concept: This paper delves into the compelling need for incubationship, recognizing it as a pivotal solution that addresses the shortcomings of traditional higher education systems. By doing so, we aim to illuminate the extraordinary potential it holds for students, universities, and the global economy. Incubationship is not merely an educational method; it is a dynamic catalyst poised to shape a new generation of forward-thinking, problem-solving, and self-reliant individuals who will navigate and contribute to a world that is more dynamic, interconnected, and complex than ever before. In this exploration, we shall uncover how incubationship's innovative approach meets the demands of our evolving society and why it is an indispensable component of the future of higher education. Methodology: This is conceptual research and makes use our own idea and development of the idea as a conceptual model by using the information obtained from various sources like scholarly articles, AI-based GPTs at various stages of this systematic incubationship model development. Results/Analysis: The paper analyses and evaluates the new model of experiential learning called “incubationship” to create an entrepreneur at higher education level by applying various higher-level research skills including design, analysis, comparison, evaluation, interpretation, and creation of new ideas. Originality/Value: The paper suggested a super-innovation in HE by proposing a new model to create innovative entrepreneurs through a semester-long project called incubationship to nurture the business leaders to start their own businesses in the form of a startup company. Type of Research: Conceptual research.

Investigation of Mobile Cloud Storage Adoption Factors in Higher Education

Mobile cloud storage provides benefits for educational institutions. Several researchers have researched cloud computing adoption, but only a few studies related to how users experience using Personal Cloud Storage Services. This research aims to investigate the adoption of the mobile cloud storage factors following the theory, as well as research that has been previously proven related to user interest in using mobile cloud storage among higher education students. This quantitative research uses data analysis techniques using GSCA to prove the theory and achieve the research goals. The research methodology consists of five main stages, namely the stage of model development and research design, the stage of preparing the instrument and its measurement, the stage of testing the instrument, the stage of survey and results, as well as the stages of analysis and discussion as well as conclusions. Five variables are investigated in this research: knowledge sharing, perceived usefulness, attitude toward using a system, trust, and intention to use. The results of hypothesis testing were conducted using GSCA; three proposed hypotheses were accepted, and one was rejected. The variables the research model can explain are 68%, and the remaining 32% are other variables not used in this study. The characteristics of respondents can provide several ways to increase the adoption of mobile cloud computing by linking research results from inferential analysis and descriptive analysis. Future research can focus on extracting these variables through user interviews regarding students' intentions to use mobile cloud computing.

Non‐contact vacuum pumps

SummaryAn overview of the main methods for mathematical modeling of the working process of non‐contact vacuum pumps is given. The specifics and the main stages of mathematical model development for screw, scroll, claw and Roots vacuum pumps are considered. The results of mathematical modeling of pump characteristics are presented and compared with experimental data. The mathematical modeling technique presented here can be recommended for analyzing the influence of pump geometry and operating conditions on the pump characteristics of non‐contact oil‐free vacuum pumps.

Distortion Analysis Method for Wire Arc Additive Manufacturing Component Using Thermomechanical Computation with Enhanced Separation and Deposition Algorithm.

This research is devoted to numerical and experimental analysis on deformation of completely removed component induced by wire arc additive manufacturing (WAAM). The component has the form of a hollow and rectangular thin wall made of deposition layer of stainless steel SS316L on top of substrate plate of mild steel S235. In this research, thermomechanical finite element analysis was applied with Goldak's double ellipsoid as heat-source model and isotropic hardening rule based on von-Mises yield criterion. A specialized numerical simulation software Simufact.Welding 2021 (SW) was utilized in developing the numerical model and the simulation of process enhanced with separation and deposition algorithm to predict the component deformation after removal of substrate. On determining the best possible mesh size, a sensitivity analysis was conducted before the advanced stage of model development. An advanced material modeling, the data of which were obtained based on the chemical composition of the evolved SS316L sample, was developed using an advanced material modeling software JMATPRO. For verification purpose, a series of WAAM experiments using robotic GMAW with synergic power source were conducted followed by the removal of substrate from component using machining process. Furthermore, component distortion was measured using industrial noncontact 3D scanner with structured blue light to fully capture the upper section deformation and compared with result of numerical computation. It can be concluded that this novel distortion analysis method using thermomechanical numerical computation with evolved material property and modified algorithms for substrate removal exhibits a surface deviation in vertical direction between 0.05 and 2.16 mm with acceptable pointwise and average error percentage of up to 3%.

Embedding STEM Learning with Islamic Values and Character Education in the Storybook

This article aimed to describe a combination between Science, Technology, Engineering, and Mathematics (STEM) learning with religious character while respecting diversity in the story book. This research is part of the research method of designing and developing picture storybooks at the ADDIE model's analysis, design, and development stages. Prototype Design STEM Activity Storybook shows how the picture of project-based learning is implemented. In this storytelling, students can learn how to interact with different tribes, nations, races, and religions to solve environmental problems. In the storybook, there are trigger questions Higher Order Thinking Skills (HOTS) to be discussed in discussions and STEM-Engineering Design Process (EDP). The purpose of developing this book is to illustrate how to combine STEM learning and character education in story books.

Development of DPIB Basics E-Module at SMK Dhuafa Padang

In this research, the 4D model development stages (Define, Design, Develop, and Disseminate) were used which include needs analysis, design, development, and dissemination. The validation results of media experts and material experts show that this E-Module is very suitable with a validity percentage of 75.78% by experimental group experts and 64.67% by control group experts. These results indicate that the E-Module developed through the 4D model is suitable for use in the learning process. The development of E-Modules in vocational schools can be an effective solution to overcome the challenges of students' understanding and skills in DPIB subjects. By using a 4D model in its development, high validation results from media and material experts show that this E-Module has very good quality. It is hoped that the use of this E-Module can improve students' understanding and skills in basic areas that are important for preparation for the world of work. Furthermore, this research also provides recommendations for E-Modules in the broader context of learning, teacher training and other material development.

Stability of clinical prediction models developed using statistical or machine learning methods.

Clinical prediction models estimate an individual's risk of a particular health outcome. A developed model is a consequence of the development dataset and model-building strategy, including the sample size, number of predictors, and analysis method (e.g., regression or machine learning). We raise the concern that many models are developed using small datasets that lead to instability in the model and its predictions (estimated risks). We define four levels of model stability in estimated risks moving from the overall mean to the individual level. Through simulation and case studies of statistical and machine learning approaches, we show instability in a model's estimated risks is often considerable, and ultimately manifests itself as miscalibration of predictions in new data. Therefore, we recommend researchers always examine instability at the model development stage and propose instability plots and measures to do so. This entails repeating the model-building steps (those used to develop the original prediction model) in each of multiple (e.g., 1000) bootstrap samples, to produce multiple bootstrap models, and deriving (i) a prediction instability plot of bootstrap model versus original model predictions; (ii) the mean absolute prediction error (mean absolute difference between individuals' original and bootstrap model predictions), and (iii) calibration, classification, and decision curve instability plots of bootstrap models applied in the original sample. A case study illustrates how these instability assessments help reassure (or not) whether model predictions are likely to be reliable (or not), while informing a model's critical appraisal (risk of bias rating), fairness, and further validation requirements.

DEVELOPMENT OF ARDUINO BASED TEMPERATURE AND HEAT PRACTICUM TOOLS IN SENIOR HIGH SCHOOL

This study aims to develop an Arduino Uno-based temperature and heat practicum tool using the DS18B20 temperature sensor for senior high school (SMA). This study uses the Research and Development Method following the procedure for designing a practicum tool that applies the ADDIE model development stage with stages, namely analysis, design, development, implementation and evaluation. However, this research is limited to the development stage. The data collection techniques used in this study were : (1) media expert validation sheets and material expert validation sheets to determine the feasibility of practicum tools and guidebooks, (2) student perception sheets to find out students responses to practicum tools and guidebooks. The results of experimental data using temperature and heat practicum tools as learning media that were developed fulfill the valid requirements with an average validator by media experts for practicum tools of 96.64% with the very feasible category, while for guidebooks 90.59% with the very feasible category. The validator material is 95.80% in a very feasible category, while for guidebooks 95.81% is in a very feasible category. Students' perception of practicum tools is 91% with a very feasible category, while for guidebooks 95% with a very feasible category. I think the tools can be used for physics learning.

Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care.

Despite immense progress in artificial intelligence (AI) models, there has been limited deployment in health care environments. The gap between potential and actual AI applications is likely due to the lack of translatability between controlled research environments (where these models are developed) and clinical environments for which the AI tools are ultimately intended. We previously developed the Translational Evaluation of Healthcare AI (TEHAI) framework to assess the translational value of AI models and to support successful transition to health care environments. In this study, we applied the TEHAI framework to the COVID-19 literature in order to assess how well translational topics are covered. A systematic literature search for COVID-19 AI studies published between December 2019 and December 2020 resulted in 3830 records. A subset of 102 (2.7%) papers that passed the inclusion criteria was sampled for full review. The papers were assessed for translational value and descriptive data collected by 9 reviewers (each study was assessed by 2 reviewers). Evaluation scores and extracted data were compared by a third reviewer for resolution of discrepancies. The review process was conducted on the Covidence software platform. We observed a significant trend for studies to attain high scores for technical capability but low scores for the areas essential for clinical translatability. Specific questions regarding external model validation, safety, nonmaleficence, and service adoption received failed scores in most studies. Using TEHAI, we identified notable gaps in how well translational topics of AI models are covered in the COVID-19 clinical sphere. These gaps in areas crucial for clinical translatability could, and should, be considered already at the model development stage to increase translatability into real COVID-19 health care environments.

Pengembangan Modul IPA Berkarakter Religi Islami untuk Meningkatkan Literasi Sains Materi Sistem Peredaran Darah pada Manusia di Sekolah Dasar

The purpose of this development research was to describe the validity, practicality and effectiveness of the IPA module with Islamic religious characteristics to increase scientific literacy in the material of the human circulatory system in grade V elementary schools. This research is research and development by modifying the ADDIE model development stages carried out systemically and systematically. The stages start from Analysis (Analyzing), Design (Designing), Development (Developing), Implementation (Implementing), and Evaluation (Evaluating). However, in this study the stages of developing the ADDIE model were modified only to the Implementation (Implement) stage. The analysis phase includes the introduction or analysis of needs by analyzing the characteristics of students, the learning process, and the learning resources that are often used. The design phase includes initial product design such as test preparation, selection of learning media, format selection, initial design. The develop stage is to revise the module product development that has been produced in the initial design activities. At this stage revisions were also carried out based on input from experts and data obtained from the results of practical trials. The data collection instruments in this study were validity sheets for subject matter expert lecturers, media experts and practitioners, student readability sheets, practicality sheets for practitioners, lesson plans validation sheets, validation sheets for scientific literacy questions, pretest and posttest scientific literacy questions. This instrument was developed based on the advisory lecturer's defense, the assessment of expert lecturers, practitioners, and limited trials on students and practitioners. The stage of implementing the module developed in class V students at SDN Ketanggan 03 Gringsing District. The Implementation Stage is the stage of using modules that have been developed on a wider scale, through the website address of the IPA Module with Islamic Religious Character which has been online so that it has been spread via Google and can be accessed in a browser. The data analysis technique used was the n-gain test and the T-test. The Ngain test value in this study was obtained 0.32 with the moderate improvement category, and the T-test value was obtained Sig. 0.033 <0.05 means that there is an effect of using the Science module with Islamic religious characteristics to improve students' scientific literacy skills. The results showed that the science module with Islamic religious character that was developed proved to be valid, practical, and effective so that it was very suitable for use in learning science in elementary schools to improve students' scientific literacy skills.
 
 Keywords: Science module, Islamic religious character, scientific literacy ability

ASESMEN PROKRASTINASI AKADEMIK BERBASIS COMPUTER ASSISTED TESTING (CAT)

Information technology-based Bk assessment is a process of collecting, processing, analyzing, interpreting and reporting data or information by utilizing information and communication technology. Information and communication technology is able to facilitate and improve all assessment practices in schools. So that it can help improve the results of the validity and reliability of test results as well as provide an efficient and valid assessment of counseling alliances.This study uses a development model (Research and Development) with a procedural model that is descriptive describing the steps to produce a product. The product referred to in this development is the Computer Assisted Test (CAT) program on academic procrastination assessment. The applications that we will introduce are Google forms, Quizizz and Kahoot. the application of research and development is carried out through three stages; 1). Mode Pre-Development Stage, 2). Model development stage and 3). Model Implementation Stage.The results of the study show that the Computer Assisted Testing (CAT) based assessment is more optimal than the implementation of manual tests using paper. Because CAT is able to display dynamic and interactive visuals, icons, animations, and sounds. The score results can be directly seen by students and the counseling teacher can directly import the assessment results data from the platform used into the data storage system

PENGEMBANGAN ALAT PRAKTIKUM FISIKA PADA TOPIK HUKUM KEKEKALAN MOMENTUM BERBASIS ARDUINO UNO MENGGUNAKAN SENSOR ULTRASONIK HC-SR94

Arduino uno/microcontroller can be applied in the world of education, one of which is used as material for the development of digital practicum tools. This research aims to; (1) develop a physics practicum tool in the mechanics course, namely the material for the law of conservation of momentum which is developed based on Arduino uno; (2) to find out how to design more precise practicum tools; (3) knowing the feasibility of the momentum conservation law practicum tool developed. This research is an ADDIE research which involves the stages of model development with five steps/development phases including: analysis, design, development or production, implementation and evaluation. Research data were collected using a validation questionnaire sheet, user response questionnaires and documentation. The results of this study are; (1) produce a product in the form of a physics practicum tool on the material of the law of conservation of momentum based on Arduino uno with an ultrasonic sensor HC-SR04; (2) the precision/precision of the practicum tool that has been developed has an accuracy value of 0.178 kg m/s; (3) the feasibility of the product of physics practicum tools on the material of the law of conservation of momentum based on Arduino uno with the ultrasonic sensor HC-SR04 as a whole is categorized as very feasible to use, namely getting a percentage value of 86% according to media experts, 91% according to material experts and 90% according to media experts. students/users and practicum tools developed are categorized as very suitable for use in practical activities. The product resulting from this research is a practical tool for the law of conservation of momentum based on Arduino uno using an ultrasonic sensor HC-SR04. In this development, it is not only practicum tools, the practicum tools developed are equipped with user manuals and practicum guides that function to make it easier for users to carry out practical activities.

Development of Technological, Pedagogical and Content Knowledge Based Learning Media

Problems in education are very diverse, one of which is that students are lazy to read and do not understand how to draw the right conclusions so that this has an impact on the learning achievement of Indonesian language students in grade VI SDN Petojo Utara Complex, which is less than optimal, especially in making decisions in a paragraph. Therefore, it is necessary to have learning media that can assist in conveying material to students and support students' understanding in drawing conclusions from a paragraph, one of which is learning media.based on TPACK (Technological, Pedagogical, Content Knowledge). The research method used in this research is the ADDIE development research model which is a model that involves the stages of model development with five development steps/phases, including: Analysis, Design, Development or Production, Implementation or Delivery and Evaluations. The results showed that the development of TPACK-Based Learning Media was implemented at MI Pembangunan UIN Jakarta. The results of student assessments of the TPACK-based learning media development assessment obtained an average value of 4.7 close to strongly agreeing with the statements submitted. Student responses to the e-module varied, the majority of class 1D and 1G MI Pembangunan UIN gave a positive response. However, some students gave responses that were difficult to understand because they were not in accordance with the learning styles of students. Therefore, it is important for e-module developers to pay attention to the quality and characteristics of e-modules in order to generate positive responses from students.

Pengembangan Media 3D Berbasis Augmented Reality Menggunakan PBL Materi Penggolongan Hewan untuk Meningkatkan Self Esteem Siswa Kelas V SD

Many media can be used as innovations in learning, and these media can be physical or technological-based. One of the technological-based media is augmented reality-based media. This research aims to determine the process of making 3D media based on augmented reality animal classification material, knowing the validity and feasibility of the media, and find out whether the development of PBL-based augmented reality media animal classification material can increase the self-esteem of grade V students of SD Islam Hasanul Amin, Blitar Regency. The method used in this study is Research and Development (R&D) with research stages of ADDIE model development. The field trial design used is Pre-questionnaire and Post-questionnaire Control Group Design using experimental and control classes. The results of this study obtained the validity and feasibility of 3D media based on augmented reality animal classification material obtained a total value of 88.49%, so this media is very valid / very feasible for use in learning. In addition, it was found that Ho was rejected and Ha was accepted, which means that there are differences in students' self-esteem results by using learning using augmented reality-based media and applying the PBL model, where the self-esteem of students who use augmented reality-based media by applying the PBL learning model is better than students who use conventional learning

Explaining the stage of product in pre-seed academic startup ventures: An empirical analysis using monitoring data from a German startup support program

A central prerequisite for market entry and the subsequent economic performance of academic startup ventures is that the product on which the business model is based must be sufficiently well developed. The present research aims to provide answers in the quest to identify the explanatory factors in the development stage of the product of academic spin-offs in the pre-seed phase of their ventures. This is based on various factors that play a role in the innovation process and the development of new products – including characteristics of the project, characteristics of the R&D work and business model development, previous freelance experience, networking, financing, and technology field. The empirical analysis of data from academic startup ventures enrolled in a large German startup support program – using structural equation modeling – revealed both direct and indirect statistically significant effects, showing that a large proportion of the selected variables can be employed to explain the development stage of the product. The findings indicate that the R&D work stage has a medium-sized effect, while business model development stage, the degree of networking, project feasibility, and previous freelance experience connected with the product all have small effects.

Utilization of Research in Clinical Nursing and Midwifery Practice in Ghana: Protocol for a Mixed Methods Study.

The International Council of Nurses' 2021 code of ethics mandates nurses to provide evidence-informed care to patients. Globally, using research evidence has led to improvement in nursing and midwifery practice, according to the World Health Organization. A study in Ghana found that 25.3% (n=40) of nurses and midwives use research in clinical care. Research utilization (RU) increases therapeutic effectiveness, improves health outcomes, and enhances the personal and professional development of clinicians. However, it is uncertain the extent to which nurses and midwives are prepared, skilled, and supported to utilize research in clinical care in Ghana. This study aims to develop a conceptual framework that can facilitate RU among clinical nurses and midwives in Ghanaian health facilities. This will be a cross-sectional study with a concurrent mixed methods approach. It will be conducted in 6 hospitals and 4 nursing educational institutions in Kumasi, Ghana. The study has 4 objectives which will be executed in 3 phases. Phase 1 follows a quantitative approach to describe the knowledge, attitudes, and practices of clinical nurses and midwives on the use of research in their practice. Using a web-based survey, 400 nurses and midwives working in 6 health facilities will be recruited. Data analysis will be conducted using SPSS, with statistical significance set at .05. Qualitative methodology, using focus group discussions with clinical nurses and midwives, will be conducted to identify the factors influencing their RU. In phase 2, focus group discussions will be used to examine and describe how nurse educators in 4 nursing and midwifery educational institutions prepare nurses and midwives for RU during their education. Views of nurse managers on the RU in Ghanaian health care facilities will be explored in the second section of this phase through one-on-one interviews. Inductive thematic analysis will be used to analyze the qualitative data, and Lincoln and Guba's principles of trustworthiness will be applied. In phase 3, the stages of model development proposed by Chinn and Kramer; and Walker and Avant will be used to triangulate findings from all objectives and formulate a conceptual framework. Data collection started in December 2022. Publication of the results will begin in April 2023. RU in clinical practice has become an acceptable practice in nursing and midwifery. It is critical that nursing and midwifery professionals in sub-Saharan Africa shift their practice to embrace the global movement. This proposed conceptual framework will empower nurses and midwives to improve their practice of RU. DERR1-10.2196/45067.