Program Modules Research Articles

A survey of instructional experience of faculty in teacher preparation programs during the COVID-19 pandemic

“In the spring of 2020, educational professionals rushed to suddenly and unexpectedly shift to remote teaching in light of the COVID-19 pandemic” (Boltz, Yadav, Dillman & Robertson, 2021). During this time, “Schools and universities had to quickly adapt to a distance learning model….” (Stevens, Stevens, & Grady, 2021) as “…professors everywhere scrambled to implement some version of their class in an online format” (Baker & Dannatt, 2020). This study provides an analysis of self-reported survey data gathered from college instructors tasked with preparing preservice teachers or developing in-service teachers, who were forced to transition to online delivery of their courses.

Generalized models of a production system of fuzzy conclusion

The aim of the research is to study the models, rules, and fuzzy inference engines, which occupy the main place in the knowledgebase, and models of the logic inference engines and simulation modeling, focused on supporting the adoption of semi-structured decisions under uncertainty. This implies the relevance of the task of developing theoretical and methodological tools that provide automation of the processes of fuzzy inference systems. Research methods are the theory of fuzzy sets and fuzzy logic. New scientific results are the design and formation of a set of production rules from a given set of admissible ones, with specific values of conditions and conclusions for describing three types of fuzzy models of the processes and tasks under study. Using modules of standard algorithms and programs, algorithms and a program for solving problems of fuzzy inference systems and making semi-structured decisions based on the constructed fuzzy logic model were developed. This problem is solved by formalization methods based on the theory of algorithmization, fuzzy sets, and fuzzy inference.

Effects of a web-based education for community mental health case managers on physical healthcare for clients with severe mental illness.

This study aimed to develop and verify the effects of a web-based physical healthcare education program for community mental health case managers during the time of COVID-19. Six modules of mental health case management physical health education program were developed and provided using the EdWith education platform, which enables real-time streaming, lecture participant management and whether participants have watched the video and watch time. A total of 51 community mental health case managers participated in the study. Collected data were analyzed using SPSS 26.0 software. Participants of the physical healthcare education program testified increased performance in, as well as enhanced attitudes toward physical healthcare. Their confidence in physical healthcare increased significantly from that of the individuals in the control group. The web-based educational program for mental health case managers in physical healthcare may be beneficial to improving the physical health of clients with chronic mental illness.

Teaching of Cost-Effective Care in Orthopaedic Surgery Residency Training: A Survey of Residency Programs in the US.

A survey was developed that was sent to orthopaedic residency program leadership via email through their interaction with the COERG. Additional programs were included to enhance diversity of responding programs. The survey, based on those published from other areas of medicine, included questions about the experiences of the respondents in learning about cost-effective care, as well as how faculty and residents learned about this topic. Seventy one percent (30) of respondents noted that their faculty did not receive formal training in cost-effective care, and education in this area was likely to come from the department, especially review of practice data (12, 44%). Only 19% (8) of respondents agreed with the statement that "the majority of teaching faculty in our program consistently model cost-effective healthcare to residents". Few of the programs (10, 24%) had formal curricula for residents regarding cost-effective care, and the primary mode of education in cost-effective care was through informal discussions with faculty (17, 43%). Few residents (3, 13%) were able to easily find the costs of tests or procedures. There is not consistent education in cost-effective care for orthopaedic surgery program leadership, faculty, or trainees. The results of this survey demonstrate a need for discussion of best practices, including increasing access to cost data at a local level, and engaging with the AOA, CORD, and the American Academy of Orthopaedic Surgeons more broadly in the development of standard education modules for faculty and residents, to improve the current and future delivery of cost-effective musculoskeletal care.

Knowing Demographical Challenges of Adult Learners: A Vital Tool for Administrators in Managing Adult Learning Programmes in the Public Technical Universities of Ghana

This study sought to investigate demographical challenges confronting part time management studies students at the Ho Technical University of Ghana and also ascertain how these demographical challenges affect these adult students. Coffield & Moseley (2022) indicated that now many educators want to create equal opportunities for adult learners in every social setting but stated that, despite this paradigm shift, much has not been achieved in policy formulation and implementation to include adult learners with demographical demands in the plans of tertiary institutions. The findings of the study will significantly, help stakeholders such as faculty, administrative and technical supporting staff in the development and implementation of the part time management studies programme of the Ho Technical University of Ghana once they have a better understanding of the demographical challenges of adult learners. The descriptive survey design was used for this study to gather information from a large sample of people relatively quickly and inexpensively. The design takes cognizance of both qualitative and quantitative data. The qualitative data were collected through the interview which was categorized and organized thematically in NVivo version 12 by QRS International. The quantitative data were generated by a questionnaire, summarized, and analyzed using the XLSTAT package. The findings of the study on the demographical challenges confirmed characteristics that played roles in either the participation or the success of adult learning activities. The result of the study showed that demographical challenges impeded the progress of adult learners in the part time management studies programme at the Ho Technical University of Ghana. The study recommends that administrators of this programme should create E-learning platforms with options of choosing from either regular sessions, sandwich programmes, or distance arrangements to make adult learners choose a session of the programme that may be suitable for them from the comfort of their offices, homes and to be done at their convenient times. The study also recommended that it is important that administrators of the programme train personnel and faculty of Ho Technical University on the practice of e-learning and adult education techniques to make it efficient and effective.

Graduate Nursing Student Scholarly Writing: Improving Writing Proficiency

Since 2011, enrollment in Doctor of Nursing Practice (DNP) and Doctor of Philosophy (Ph.D.) graduate nursing programs increased by almost 300%, suggesting that nursing had entered its “golden age.” This steep-growth trajectory reflects the concomitant growth in the number of doctoral programs, today exceeding 435 for the combined DNP and Ph.D. degrees. Unfortunately, the recent progress in advancing nurses in academic programs is hampered by a weakness in a competency crucial for nurses to complete their rigorous academic programs and disseminate research findings or evidence-based practice project interventions: academic writing proficiency. Since nursing curricula at the undergraduate level place lesser emphasis on the humanities, nursing students lack training in the liberal arts compendium of logic, grammar, and rhetoric necessary for effective and articulate communication and dissemination of knowledge in the field of nursing. Data generated from a recent national survey offers new perspectives on the pervasive problem of poor scholarly writing evidenced by students in graduate nursing programs: 97% of graduate papers contain grammatical errors, and only 13% of students demonstrate higher-order skills. While 81% of graduate program faculty ranked their own writing ability as “exceptional” or “highly proficient,” graduate faculty noted that 97% of the time, student papers evidenced numerous grammatical errors, such as flawed sentence structure, run-on sentences, punctuation errors, and ambiguous word choice. These data suggest that graduate nursing programs must pursue avenues to address student writing shortfalls. The authors opine that the absence of action suggests that graduate nursing programs may be in a dilemma that parallels the metaphor and urban legend of the boiled frog, wherein acceptance of an unacceptable change occurs gradually through minor, unimportant, and unnoticed increments. Aimed at addressing this dilemma, the authors discuss the potential value of offering a customized writing course to refresh and improve students’ basic writing mechanics. A sample curriculum focuses on critical thinking, clarity, and logical flow. Nursing academicians must acknowledge the drift to low writing performance in their students, advance proficiency in scholarly writing to the top of the graduate nursing education’s agenda, and prepare nurses to achieve in nursing’s “golden age.”

Обоснование необходимости внедрения интерактивных кейсов в практику обучения менеджеров

The main purpose of the article is to substantiate the need to change the concept of training managers. On the basis of practical experience, the difficulties that arise when mastering the skills necessary for future professional activity are formulated. The limitations of the applied teaching methods are revealed: cases, business games, discussions and internships. The essence of the new teaching methodology "interactive case" is determined, its technology is described. A demonstration of an example of using an interactive case in the practical work of a teacher is given. The project is implemented by the winner of Master's Program Faculty Grant Competition of the Vladimir Potanin Fellowship Program.

Teaching Strategies and Nonvisual Skills Used by Orientation and Mobility Specialists Who Are Visually Impaired

Introduction: To better serve students with visual impairments who are enrolled in personnel preparation programs training orientation and mobility (O&M) specialists, faculty should be aware of effective teaching strategies, tools, and resources to use. In this context, it is vital that instructors in personnel preparation programs for O&M specialists to understand how to best serve students with visual impairments. Two prior studies have addressed this need. This study sought to establish what techniques and teaching strategies O&M instructors who are visually impaired use when teaching students O&M skills to ensure their safety. Methods: This study used a qualitative research design using a case study approach to explore the teaching strategies, nonvisual skills, and accommodations that O&M instructors who are visually impaired use when teaching O&M lessons to their students. Eight participants with visual impairments who are O&M instructors were interviewed for this study. Results: The themes that emerged from the interviews included structured discovery learning and philosophy, monitoring and teaching strategies, equipment and materials, and accommodations. These findings played a vital role when instructors with visual impairments provided O&M lessons to students who are visually impaired. Discussion: This research confirms and adds to the previous research regarding instructional strategies, equipment and materials, and accommodations utilized by O&M instructors who are visually impaired. Additionally, further information was provided concerning instructional strategies (e.g., structured discovery learning and philosophy, monitoring). Implications for Practitioners: The results reported in this study can serve as guidelines for O&M personnel preparation program faculty who are teaching students with visual impairments in their blindfold or simulation cane courses. This study can also be used as a reference for students with visual impairments to advocate for accommodations with their university's office of students with disabilities to be successful in an O&M personnel preparation program.

ДІДЖИТАЛІЗАЦІЯФІНАНСОВОГО ОБЛІКУ ТА ОПОДАТКУВАННЯОДИН З НАПРЯМКІВ УСПІШНОГО АГРАРНОГО БІЗНЕСУ

Тask statement. The article substantiates the mechanism of implementation of the Agri accounting computer program: accounting for farms, analysis of the program modules and priority directions for acquisition for management. Research results. The practical justification of the automation of financial accounting of agricultural enterprises is considered. The stages of automation with the help of Agri: accounting are defined. The chronological order of the program customization process is highlighted depending on the requirements and types of activities. A comprehensive approach to setting parameters, directories, primary and consolidated documents, tax and statistical reporting forms of the Federal Government has been formulated. The main directions for mastering the Agri program are highlighted: accounting through institutions of higher education. However, the main subjective factor influencing decision-making is the manager's interest in implementing an accounting computer system. It should be noted that many managers of enterprises consider the computerization of accounting, in particular, an unnecessary expenditure of funds. This is explained by ignorance of the problems of the organization of accounting and accounting apparatus, as well as possible economic benefits in the future from its implementation. Conclusion. Allocation at the practical level of the accounting computer system by individual modules allows you to correctly determine the requirements, functionality, tasks, requirements and means of financial accounting, which are characteristic for the effective implementation of accounting in farms. However, functional subsystems are characterized by technical, technological, software, personnel capabilities that create effective business management with the help of the computer program Agri: accounting.

Creation of cross-platform toolkit and methods of programming trusted CNC systems

The developed cross-platform toolkit is presented and the methodology for its use for programming trusted CNC systems is described. The use of canned cycles in a trusted CNC system allows to quickly and flexibly change production processes, in particular when changing the range of products or if it is necessary to replace equipment with a changing the CNC system. Canned cycles built on cross-platform toolkit can be adapted and customized to meet new requirements and changes in the production process, which is critical to quickly respond to changing market conditions and ensure timely order fulfillment. The cross-platform toolkit presented in the article implement logical relationships between the variables that determine the geometry of the processed elements and the processing strategy embedded in canned cycles and logical control commands, which is aimed at ensuring the trust of the CNC system. The architectural model of the toolkit provides for the formation of universal templates for developing macroprograms in a high-level language and multi-level interaction of program modules with a gallery of macroprograms. The rules for structuring and arrangement of macroprograms in the CNC system are described.

Спецификация разработки программы передачи информации пользователю и технической системе

This article demonstrates how to implement an application for the exchange of information, both between people and between man and technical equipment. The Flask library facilities the creation of such a program by simplifying the syntax of the program. An analysis of the application functionality was carried out in terms of its architecture, using decorators for more convenient display. Various technical aspects, the interaction architecture of program modules, as well as the questions of code writing, are discussed. It is shown that the use of Flask and some other libraries allow users with elementary and intermediate level of programming knowledge to create a full-fledged program to display information, not necessarily of technical nature, for its further application in various projects.

A Method-Level Defect Prediction Approach Based on Structural Features of Method-Calling Network

Software defect prediction models help testers find program modules that have a high probability of having defects. A method-calling network can express the dependencies between methods in a program. Existing approaches do not sufficiently utilize method-calling network to characterize the structural features between methods. To address this problem, in this study, it is proposed for the first time that the characteristics of methods in a program are obtained by analyzing the method-calling network, and a new approach is proposed for defect prediction at the method-level. Specifically in this study, the method-calling network of the program was first constructed and the network metrics of the method-calling network were obtained. Next, the new network embedding technique (node2vec) was used to automatically encode the method-calling network structure into a low-dimensional vector to obtain the network embedding metrics. Finally, they were combined with code metrics to construct defect prediction models. We evaluated our approaches on 13 open-source software systems. The experimental results show that the proposed method improved the values of area under the receiver operating characteristic curve by 2.5% to 6.7% and Matthews correlation coefficient by 13% to 178.4% compared to the baselines. Therefore the method-calling network contains rich structural features between methods, and the structural features extend the features used for method-level defect prediction and further improve the performance of defect prediction models.

OBJECT PROGRAMMING IN MATLAB RADIO ENGINEERING APPLICATIONS

System objects integrate well with the MATLAB programming language, both when writing simple functions that work interactively in the command window, and when creating large applications. In contrast to MATLAB functions, system objects automatically manage state information, data indexing, and buffering, which is especially useful for iterative calculations or streaming data processing. Such an organization of calculations makes it possible to efficiently process long data arrays. System objects support fixed-point arithmetic and C-code generation from MATLAB and SIMULINK. With system objects, you can generate code for a computer or for an external device. System objects can be used in SIMULINK models in the form of MATLAB function blocks. The issues of the methodology for using MATLAB program modules (files), which are usually called system objects, are discussed. Each such object is a simulation computer model of a real radio engineering device or radio engineering system. Examples of such system objects are given and the effectiveness of their use in the educational process at a technical university is illustrated.

ПРОГРАМНИЙ МОДУЛЬ ПОПЕРЕДНЬОГО ДІАГНОСТУВАННЯ ПАЦІЄНТІВ НА ОСНОВІ НЕЙРОННОЇ МЕРЕЖІ КОХОНЕНА

As you know, diagnosis is an extremely important aspect in the process of restoring health. When a patient seeks medical help with certain complaints, in most cases, each doctor will prescribe a general or extended (biochemical) blood test. This is a basic diagnostic procedure. A general analysis will allow establishing the corresponding fact of a violation in the body's work. Biochemical analysis of blood will provide more accurate information about the state of most vital organs, and will allow to evaluate the main metabolic processes. The results of the analysis are of high importance precisely at the stage of diagnosis, and, subsequently, when monitoring the recovery process. Monitoring is necessary if it is necessary to control the effectiveness of therapy. At the same time, the article deals with current and important issues of developing a software module for preliminary diagnosis of patients by blood analysis. Therefore, the time of execution and the speed of obtaining blood test results are important. The program module offered to your attention is based on the Kohonen neural network. Since such a neural network is a learning network, it becomes an excellent assistant in our task as a whole and in further diagnostics. Diagnosis is based on the results of the analysis, while a large number of important parameters are preserved with sufficiently fast operation of the algorithm. Therefore, this software module is necessary to increase the reliability of preliminary diagnosis, relative to competitors, and save time for doctors and patients. The article describes the structure, mathematical model and order of functioning of Kohonen's neural network. The architecture of the neural network software module is considered. An algorithm for the functioning of the software module and the ready-made application has been developed.

Направляющая роль технологического форсайта в управлении прорывными технологиями в региональной промышленности

In the new system of macroeconomic coordinates, the temporal presentation of the process of forecasting technological development of industry is fundamentally changing within the concept of structural reform of the national economy. Because of the high turbulence of factors, especially the external environment, despite the absolute importance of scientific perspective, it is possible to speak with a greater probability of their occurrence only in a short- and mediumterm context. In accordance with this, the guiding role of technological foresight in the management of breakthrough technologies is strengthened precisely within these time horizons. And the success of achieving the goals is determined by the digitalization of a decision-making process and the introduction of closed-loop economic models within the framework of the interaction of enterprises in the breakthrough technology sector. This new stage of development of industrial enterprises (in terms of activity, specialization, and development of circular value chains) reflects their orientation to the parameters of technological foresight. The paper presents the results of a critical analysis of modern approaches to research and technological foresight impact assessment methods on the regions’ industrial structural reform, gives its program modules embedding hierarchical representation in conjunction with the goals of macro, meso and micro levels. The technological foresight global goal-oriented role at the macro level, its adaptive (to the region’s specifics) role at the meso level and the technological forethought role at the level of a specific industrial enterprise (association) realizing regional and sectoral goals is substantiated. On the basis of the empirical analysis of comparative dynamics of indicators of innovation activity in the regions of Russia, reference marks were identified. On their base clusters were built that characterize the dynamics of the development of federal entities of the Russian Federation in terms of the technological type of their industry. As a result of repeated clustering, the clusters or industrial drivers for the implementation of technological foresight targets, including the ones in the regions of South of Russia were identified. This allowed us to draw reasonable conclusions about the appearance of technologically breakthrough innovation clusters in these regions and the dynamics of their development.

Подготовка учителя начальных классов к профессиональной деятельности по развитию математического мышления младших школьников

<p>The article discusses one of the aspects of the training of a teacher of primary general education – the ability to analyze the causes of students' mistakes made by them when mastering mathematical concepts. The special importance in the competence of the primary school teacher of understanding the value of the initial, initial representations of the child as a result of his own mental activity is noted. An overview of the concept of mathematical thinking in the psychological and pedagogical literature is given. The understanding of mathematical thinking as theoretical, carried out on mathematical material, is highlighted. The levels of development of mathematical thinking and its main components – analysis, planning and reflection – are recorded. The modules of the educational program for the training of primary school teachers are described, aimed at developing students' competencies that allow them to adequately assess the manifestations of mathematical thinking in younger schoolchildren on mathematical material traditionally studied in primary school. The sequence of actions aimed at identifying the error pattern is presented. Examples of tasks for students are given, showing ways of developing the educational action of control; determining patterns of mathematical errors.</p>

Students’ social psychological monitoring: research empiric methods

The article grounds the mechanisms of solving the problem to develop the university students social psychological monitoring system as an education management tool that enables to fulfill the gap of knowledge about the object under control. The research represents the results of the second phase of the Samara university students and prospective students social and psychological monitoring system project. The research first phase formulated the students social and psychological monitoring conceptual framework, revealing readiness to maintain business and research activities as a personality integrative characteristic comprising needs, motivations, values and social attitudes. The present article gives the complex methodology that will be applied in the Samara university students social and psychological monitoring to study their readiness to maintain business and research activities. The methodology comprises social and psychological methods and research techniques, enabling to evaluate extensively the needs, motivations, values, social attitudes and readiness for education activities: 1) Likerts scale; 2) P.M. Lapin and T.V. Razinas adopted motive classifications; 3) M. Rokichs methodology for value orientation study; 4) S. Schwartzs methodology for diagnosing value orientations; 5) questionnaire for examining business and research intentions and attitudes; 6) A.L. Zhuravlev and V.P. Pozdnyakovs modified methodology for diagnosing business motives, Yu.S. Medvedeva and T.V. Ogorodovas methodology for revealing research motivations.The monitoring methodology, resulting from the research, will be realized as a program module in students accounts of the Samara university electronic educational system. The monitoring results will base the recommendations for both students and prospective students when choosing the individual academic path within the competency profile formation, and the university educational, research and business administration authorities.

PENGEMBANGAN MUTU PENGELOLAAN PROGRAM STUDI BERBASIS MONITORING ANALYTIC TOOLS MENUJU AKREDITASI UNGGUL PROGRAM STUDI MATEMATIKA FST UIN SYARIF HIDAYATULLAH

This paper discusses Monitoring Analytics Tools (MAT) to analyze the management quality of the Mathematics Study Program Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta. Study program management based on Monitoring Analytics Tools (MAT) is one of strategy for building a study program management system based on data-driven and automated analytics. This method is handy in improving the quality of study programs so that they are more measurable, targeted, effective, and efficient in providing excellent services and developments. Monitoring Analytics Tools (MAT) in this study focused on two management quality developments of the study program, namely Monitoring Analytics Tools (MAT) for Lecturer Quality Development in the Learning Process through a Lecturer Evaluation Survey by Students and Monitoring Analytics Tools (MAT) for the Graduate Development through Graduate User Surveys. The results show that the responsiveness dimension (punctuality in learning activities) has the lowest satisfaction index for Lecturer Quality Development. Meanwhile, for the quality of graduates, the dimensions of specific skills (presentation and writing report skills) are the lowest satisfaction index.

Neurosurgery Applicant Perspective of Neurosurgery Residency Websites

Applicants rely heavily on virtual information in the form of neurosurgery residency websites (NRWs) to better understand a program's culture, faculty, and opportunities. There is a paucity of information regarding the value of NRW on applicant decision making. The advent of the supplemental ERAS application and continuation of virtual interviews may increase the propensity of which applicants use NRW. The objective of our study was to distribute a survey to further understand applicants' perceptions and opinions of NRW, as well as provide future direction for NRW optimization. The current study is a single-institution, retrospective survey design. A survey was designed via Qualtrics software to evaluate applicant demographics, resident education, resident recruitment, and future directions. The survey includes the most frequently used variables on NRW. The survey was distributed to neurosurgery applicants who received an interview at the University of Alabama at Birmingham. Data were analyzed using Microsoft Excel. Among the 293 applicants who received a link to the survey, 87/293 (29.7%) completed it. Respondents elected that useful website variables were "resident rotation schedules and hospital locations," "faculty listings and biographies," and "neurosurgery residency websites served as a first impression of a neurosurgery residency program." More than half of the respondents agreed that their rank list would not be the same without an NRW. The most strongly received statement for future directions was "Neurosurgery residency programs will benefit from renovating their residency website." Our data suggest NRWs play a vital role in resident recruitment and decision making. Residency programs will benefit from this data and may use it to restructure their virtual recruitment tools and discover innovative virtual recruitment strategies. Our team elucidated the most important variables found on NRWs and proposed future directions for their improvement and the virtual application and recruitment process.

VOCATIONAL ASSESSMENT AND INDIVIDUAL DEVELOPMENT PLANNING IN DIVERSITY-FOCUSED UNDERGRADUATE MENTORSHIP

Abstract The UC San Diego MADURA Mentorship Program, funded the National Institute on Aging, strives to improve diversity in Aging/Alzheimer’s Disease and Related Dementias (ADRD) research and clinical practice. Goals include improved academic success of undergraduate URM trainees, and facilitating graduate/medical school applications and entry into Aging/ADRD research or clinical careers. Mentees receive paid research experience, training, Program and lab-based faculty supervision, peer support, seminars, and professional development opportunities. To enhance educational and career planning, MADURA incorporated Individual Development Plan (IDP) use, in 2022. IDP training by a Career Services presenter was followed by interactive IDP completion during small group break-outs, with ongoing revisions occurring throughout the quarter. Further, all trainees were offered formal vocational assessment (Strong Interest Inventory®, College Edition). 21 trainees participated and some engaged in individual 30-minute feedback sessions. All mentors were asked to incorporate IDP and vocational assessment discussions into year-end professional development meetings with mentees. Data to be presented includes: Student evaluation of IDP training; prior vocational assessment access; student and mentor ratings of IDP and vocational assessment feasibility, utility and satisfaction; and cohort vocational profile characteristics. Discussion includes implementation challenges, benefits and limitations of IDP and vocational assessment use, and future research suggestions.