Competency Model Research Articles

Trends in mathematics education and insights from a meta-review and bibliometric analysis of review studies

Review studies are vital for advancing knowledge in many scientific fields, including mathematics education, amid burgeoning publications. Based on an extensive consideration of existing review typologies, we conducted a meta-review and bibliometric analysis to provide a comprehensive overview of and deeper insights into review studies within mathematics education. After searching Web of Science, we identified 259 review studies, revealing a significant increase in such studies over the last five years. Systematic reviews were the most prevalent type, followed by meta-analyses, generic literature reviews, and scoping reviews. On average, the review studies had a sample size of 99, with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines commonly employed. Despite certain studies offering nuanced distinctions among review types, ambiguity persisted. Only about a quarter of the studies explicitly reported employing specific theoretical frameworks (particularly, technology, knowledge, and competence models). Co-authored publications were most common within American institutions and the leading countries are the United States, Germany, China, Australia, and England in publishing most review studies. Educational review journals, educational psychology journals, special education journals, educational technology journals, and mathematics education journals provided platforms for review studies, and prominent research topics included digital technologies, teacher education, mathematics achievement, and learning disabilities. In this study, we synthesised a range of reviews to facilitate readers’ comprehension of conceptual congruities and disparities across various review types, as well as to track current research trends. The results suggest that there is a need for discipline-specific standards and guidelines for different types of mathematics education reviews, which may lead to more high-quality review studies to enhance progress in mathematics education.

Development of Professional Competence in Broadcasting and Hosting in the Social Media Environment

With the increasing prominence of social media in global information dissemination, the education and cultivation of professional competence in broadcasting and hosting should meet the demands of the evolving times. This study aims to explore the cultivation model of professional competence in broadcasting and hosting in the social media environment, in order to establish a set of talent cultivation strategies that are suitable for the new media landscape. Through a literature review, this study systematically examines the connotations and development changes of professional competence in broadcasting and hosting, and analyzes the new requirements posed by the social media environment. Using a combination of theoretical analysis and logical reasoning from the perspectives of communication and education, this study critically analyzes existing teaching models in the field of broadcasting and hosting, and proposes a theoretical framework. This framework emphasizes the importance of media literacy and puts forward a series of cultivation measures, such as updating course content, innovating practical teaching methods, and providing guidance for personal branding. Throughout the process, this study particularly highlights the impact of social media on skills, ethical awareness, and innovation in broadcasting and hosting. Finally, the study concludes that the cultivation of professional competence in broadcasting and hosting should pay more attention to the integration and innovation of social media skills, as well as the shaping of personal branding, in order to cultivate professionals who can adapt to the development of digital media.

Understanding the multidimensional role of medical travel facilitators: A study on competencies and a proposed model

The recent exponential growth of medical tourism has illuminated the essential but relatively unexamined role of medical travel facilitators (MTFs). MTFs play a crucial role in the success of medical tourism by acting as a bridge between patients and healthcare providers. However, there is a lack of understanding and standardization of the competencies needed to excel in this profession. Therefore, this study aims to reveal and categorize the key MTF competencies through a professional competency model. The research methodology involved a combination of competency classification and thematic content analysis, leveraging insights from 30 healthcare experts. The study is processed through a computer-aided analysis to identify 14 distinct themes and 35 MTF competencies. These findings build up an innovative MTF competency model. This novel model extends the understanding of MTF competencies and is a practical tool for individuals aspiring for MTF roles, promoting their professional development. The findings also suggest a standard for delivering high-quality patient care and meeting the diverse needs of industry stakeholders. The research contributes to both theoretical advancements and practical improvements in the medical tourism industry, with an emphasis on enhancing patient satisfaction and upholding industry standards.

A Study of Innovative College English Teaching Model for Global Competence

A Study of Innovative College English Teaching Model for Global Competence

Evaluating Iranian L2 Teachers’ Assessment Literacy for L2 Pragmatics by Applying the CEFR’s Pragmatic Competence Model: Possible Sociocultural-Informed Solutions

Nearly all multidimensional models of communication competence have pragmatic competence at their core. Proper assessment of second language (L2) pragmatics makes many demands on L2 teachers, both in terms of understanding the construct and in language test development. Therefore, being assessment literate helps teachers in developing effective tests geared toward educational outcomes. Despite the importance of assessment literacy (AL) for pragmatics, the field is still under-researched. Mindful of this fact and the significance of pragmatics in L2 learning and assessment, this study adopted the Common European Framework of Reference (CEFR) model of pragmatic competence to examine Iranian L2 teachers’ AL for L2 pragmatics and linked the results to the Sociocultural Theory (SCT) for formulating theoryinformed answers to the problems in the teachers’ assessment of L2 pragmatics. Group interviews were run with 67 participants and then qualitative and quantitative content analyses were performed. The paper discusses the identified problems in the assessment of L2 pragmatics and offers recommendations for raising L2 teachers’ AL for L2 pragmatics.

Compassion-Focused Mentoring: An Antidote to Adverse Faculty-Student Mentoring Outcomes?

Fueled by decreased state support, economic pressures, and a growing emphasis on academic capitalism, higher education in the United States faces significant challenges. These shifts have fostered fast-paced, competitive environments, impacting the quality and equity of faculty-student mentoring in graduate programs, particularly for Black, Indigenous, People of Color (BIPOC), and first-generation students. This article proposes a novel framework, the compassion-focused mentoring conceptual model (CFM-CM), to address the complex challenges faced by under-represented students seeking meaningful faculty mentorship. The CFM-CM expands on Johnson's model for mentor competence by integrating principles from Gilbert’s compassion-focused therapy (CFT) approach. It emphasizes the cultivation of a compassionate Self-identity in mentors, grounded in compassion motivation and mindfulness, as a foundation for fostering ethical, equitable, and supportive mentoring relationships. By exploring the limitations of current mentoring practices and analyzing negative mentoring experiences through the lens of CFT, this article suggests that the CFM-CM can pave the way for improved faculty-student relationships, fostering well-being, inclusivity, and success for BIPOC and first-generation students in graduate education.

REFLECTION ON THE EXPERIMENTAL MODEL OF A CHESS TEACHER’S COMPETENCES (analyses and interpretations)

Chess teaching approach in junior classes of primary schools is discussed in the article, considering it as a leading educational activity, as it completely reflects the essence of psychological renovation. Chess education is considered to be the unique display of resistant process of aimed unification of educational activity, the result of which are the actions with certain characteristics (scientific, systematic, generalized, etc.). The idea of junior school education can be newly interpreted in the process of chess teaching. In this context the model of professional competences of a chess teacher, which is the means of the formation of academic activity, must be considered and checked in primary schools as well. Thus, the purpose of the research is to reveal the real place of teaching of chess as a leading activity and to suggest a new model of competencies with the perspective of cognitive block and activation of cognitions. During the research, the following methods have been used: theoretical analysis, modeling, combination of empirical studies. It has been revealed that chess education in primary school is built with the mechanism of combining suitable learning activities, which in its cognitive nature reflects the entire element of the competences of the chess teacher.

Future Translators’ Linguistic and Non-linguistic Competencies and Skills in The Age of Neural Machine Translation and Artificial Intelligence: A Content Analysis

Artificial Intelligence (AI) and machine learning (ML) are disrupting the way millions of people work. According to the Future of Jobs Report published by the World Economic Forum (WEF 2022), the Fourth Industrial Revolution will result in the disappearance of more than 75 million jobs by 2025. While this is considered bad news to many, the report also predicts the creation of 133 million jobs for the same reason. Among the at-risk jobs are translation and language services jobs which have witnessed a sharp drop in demand due to the adoption of AI and ML technologies in machine translation systems making them capable of producing translations that match the translations produced by expert human translators. Using content analysis method of online translation job advertisements in Saudi Arabia, this study sheds light on the current in-demand translator linguistic and non-linguistic competences and skills from the perspective of employers and matches those with the well-established translator competence models in literature. Through a content analysis of 213 online job advertisements, the study identifies five key competency domains: Language and Culture, Personal and Interpersonal, Service Provision, Technology, and Translation Knowledge. While language proficiency remains crucial, there is a growing emphasis on "soft skills," project management, technological adaptability, and ethical practice. The findings reveal a partial alignment with existing competency models but also highlight potential gaps, particularly regarding strategic planning and document analysis skills. The study underscores the need for translator education to adapt to the evolving demands of the industry, integrating traditional skills with emerging technologies and fostering a culture of lifelong learning. By bridging the gap between academic training and industry expectations, we can better equip future translators to navigate the complexities of the profession and thrive in the age of Neural Machine Translation and AI.

Professional Standardization of Library and Information Activities

The professional standard “Specialist in Library and Information Activities” came into effect on 1 March 2023. The state regulatory document consolidates the status of the industry and the library and information profession in the system of social production. The article highlights the regulatory legal framework and a brief history of professional standardization of librarianship, which began in 2013. The adoption of the “Strategy for the Development of Librarianship in the Russian Federation for the Period up to 2030” opened a new stage in the organization of work on professional standardization of the industry. The conceptual approaches to the development of the document are analyzed: differentiated and integrated. The expediency of the integrated approach as more rational taking into account the current tasks of the industry development is substantiated. Library and information activity is presented in the document as an integral branch type of professional activity, and its functional areas — as generalized labor functions, including all production and technological processes of library work. The functional and logical structure of the professional standard and the semantic series of concepts underlying its decomposition are considered. The new nomenclature of positions of library and information specialists recommended by the professional standard is given, their qualification range is characterized, requirements to education, regular training and practical work experience are noted. It is concluded that the professional standard is a model of competences of a library and information specialist, aimed at fulfillment of the whole complex of functional tasks of a modern library. The introduction of the professional standard creates a normative basis for the formation of the qualification range of library specialists taking into account the requirements to the profession of a librarian of the digital era, the implementation of personnel strategies of libraries of different systems and departments, determines the vectors of improvement of all parts of the system of library and information education. It is a tool for managing the development and use of human resources potential of the industry. The document plays an important role as a basis for the inclusion of library and information activities in the National Qualifications System, which will significantly increase the prestige of the library profession and the industry as a whole, as well as ensure the implementation of the state library personnel policy.

SOFTWARE FOR AUTOMATION OF PERSONNEL PROFESSIONAL SELECTION AND EMPLOYEE ATTESTATION OF JSC «NAFTAN» BASED ON THE MODEL OF KEY COMPETENCIES

Formation of a capable and highly efficient team is the main task of personnel work at petrochemical enterprises, which are high-risk facilities. High requirements are imposed on the qualification of engineering and technical personnel of oil refineries. The process of selection of candidates for work in technical or engineering specialties is rather labor-intensive. Development of software for automation of personnel selection and employee attestation processes for JSC «Naftan» based on the model of key professional competencies will improve the procedure of hiring efficiency, will allow processing more applications of applicants and focusing on the best of them already at the initial stages.

Factor Model of Life-Planning Competence in High School Students

Life-planning competence is an integral personality trait that characterizes one’s desire and ability to implement one’s potential, i.e., knowledge, skills, experience, character traits, etc., in order to achieve one’s life objectives. It consists of motivational, cognitive, emotional, volitional, axiological, semantic, operational, reflective, and proactive components. The present research featured the life-planning competence in high school students (n = 200; 2019–2022) of the city of Krasnoyarsk, Russia. The resulting strategies demonstrated a connection with the concept of being-inthe-world by M. Heidegger and L. Binswanger, as well as A. Längle’s concept of fundamental existential motivations. The statistical analysis involved the principal component method with Varimax rotation and Kaiser sampling. The factor analysis revealed eight factors: 1) purposefulness, meaningfulness, and readiness for life planning; 2) cooperation; 3) reflexive activity control; 4) correlation with the world; 5) control of oneself and the situation; 6) self-awareness; 7) dynamic balance; 8) self-development. These factors connected the process of life-planning with the four existential fundamental motivations identified by A. Längle and the forms of being-in-the-world described by M. Heidegger and L. Binswanger. The high school students demonstrated a motivation for physical survival and spiritual overcoming of existence, as well as a desire to enjoy life, experience values, find self-identity, and seek justice. As teenagers, they lacked the fourth existential motivation, i.e., motivation to obtain existential meaning.

Validation and extension of two domain-specific information privacy competency models

The purpose of this paper is to validate two domain-specific information privacy competency models (IPCMs); the first for online consumers and the second for users of mobile applications (apps). For the validation of the competency models, we conducted qualitative research, using interviews to collect feedback by a group of nine information privacy experts. Regarding the evaluation, the experts commented largely positively for the structure and content of the IPCMs, as well as for the extent to which they achieve the intended goals. They also provided several points for improvements, which resulted in enhancing the quality of both IPCMs. The validation of the domain-specific demonstrated that this is the first study to empirically examine the privacy competencies that users of specific technological contexts should hold. The IPCMs can be used not only by educators and privacy policy makers for the design of privacy interventions, but also by e-commerce and mobile-apps providers, who could gain important insights into the way that they can be more reliable for their users. Both consumers and users of mobile-apps could benefit from IPCMs by acquiring the necessary privacy competencies through training programs for the protection of their information privacy.

Deep learning-based path tracking control using lane detection and traffic sign detection for autonomous driving

Automated vehicles are a significant advancement in transportation technique, which provides safe, sustainable, and reliable transport. Lane detection, maneuver forecasting, and traffic sign recognition are the fundamentals of automated vehicles. Hence, this research focuses on developing a dynamic real-time decision-making system to obtain an effective driving experience in autonomous vehicles with the advancement of deep learning techniques. The deep learning classifier such as deep convolutional neural network (Deep CNN), SegNet and are utilized in this research for traffic signal detection, road segmentation, and lane detection. The main highlight of the research relies on the proposed Finch Hunt optimization, which involves the hyperparameter tuning of a deep learning classifier. The proposed real-time decision-making system achieves 97.44% accuracy, 97.56% of sensitivity, and 97.83% of specificity. Further, the proposed segmentation model achieves the highest clustering accuracy with 90.37% and the proposed lane detection model attains the lowest mean absolute error, mean square error, and root mean error of 17.76%, 11.32%, and 5.66% respectively. The proposed road segmentation model exceeds all the competent models in terms of clustering accuracy. Finally, the proposed model provides a better output for lane detection with minimum error, when compared with the existing model.

Продуктивное действие в онлайн-обучении дата- и медиаграмотности

<p>The article examines the adolescents' potential for productive action at various stages of the data research cycle. The hypothesis was that the technically intricate phases of data research cycle, which require mathematical and computational skills can be performed by students at a reproductive level following the patterns, whereas the stages requiring data understanding and research design, can be executed creatively and productively. The hypothesis was tested during the online bootcamp aiming to enhance media and data literacy among 8-11 grade students. 53 students aged 14 to 18 from 26 Russian cities took part in the research. Throughout the course students examined textual socio-humanitarian data in geographically distributed teams. Their learning outcomes were compared to those obtained earlier from similar bootcamps on technical and engineering data. Contrary to widespread belief, the main challenge the school students face while learning the basics of data science and machine learning is not the complexities of programming or Math statistics. When dealing with the socio-humanitarian object of research, students successfully coped with computational tasks, but they encountered challenges producing the research design and interpreting results. The study shows that the development of the students' competencies in the basics of scientific research methodology should be considered as a necessary and critical component of educational programs that involve data inquiry. The findings of this study were used for the development of a competency model of data literacy.</p>

Master of Science in Physics Education at The University of Guadalajara: The Curricular Design Process

Based on several educational needs related to Physics Education in Mexico, the University of Guadalajara began the curricular design of a Master’s Program in Physics Education. The work for the curricular design of the Master of Science in Physics Education at the University of Guadalajara was developed through nine phases. This paper presents the generalities related to the curricular design process of the Master of Science in Physics Education program at the University of Guadalajara. As a result, we have obtained a program creation project with 21 Learning Units integrated under a competency model and two research lines. Currently, while we are writing this work, the proposal is pending approval by the General Council of the University.

Leadership in the Context of Digitalization of Education – through the Prism of Government Documents and Scientific Research

The problem field in which this article is oriented is delimited, on the one hand, from digitalization in education as necessity and benefit, and on the other hand, leadership as a role and function. At the intersection between them, the main research question is brought out – to what extent the relationship between leadership and digitalization has been stated, sought and research in the Bulgarian educational policy and in research. The thesis which is defended is about the need to create competency models of leadership in different context.

Model of a Prototype Expert System for the Formation of a Simple Classifier of Competencies

The purpose of the research is to describe the process of creating an expert system that compares competency models and professional standards with the current needs of the labor market.Methods are based on an analysis of the principles of developing competencies and include a systematic analysis of labor market requirements, the use of methods for comparative analysis of graduates’ competencies and the needs of employers using statistical data. Тhe research is aimed at solving the fundamental problem of matching the skills of specialists with the needs of the labor market. Аs part of this work, an extensive search of data sources was carried out, including an analysis of graduate employment reports and requirements for specialists, during which a discrepancy between the competencies of graduates and the needs of employers was identified.Results. Аs a result of the research, a unified database was created containing information about universities, their areas, competencies and graduates, as well as requirements for the future expert system were formulated, its architecture was developed, and a model for representing knowledge about compliance was described. Тhis system will be able to provide recommendations for improving competencies based on a comparison of labor market requirements.Conclusion. Тhe expert system created on the basis of this work provides operational capabilities for solving issues of matching supply and demand in the labor market, will increase the effectiveness of training, and will help meet the needs of employers for experienced specialists. Тhis concept has several positive aspects, such as increasing the efficiency of training, reducing time resources, publicity and accessibility. Such a system will increase the competitiveness of applicants, as well as satisfy organizations in need of experienced specialists.

한의과대학 재학생의 한의사 역량에 대한 교육요구도 및 우선순위 분석

Objectives In 2015, the Institute of Korean Medicine Education & Evaluation undertook a study to develop a competency model for Doctors of Korean medicine, with the aim of transitioning the educational system of Korean medical colleges to a competency-based approach. Anticipating future societal changes, the research identifies educational needs for core competencies in Korean medicine, intending to enhance a competency-based curriculum for prospective doctors.
 Methods The study involved a survey of 44 students in Korean traditional medicine to investigate the importance and current implementation of core competencies. It utilized the Borich Needs Assessment and The Locus for Focus model to analyze the educational needs. Additionally, a survey was conducted to assess the competencies needed for traditional Korean medicine doctors in future.
 Results Results highlighted the highest educational needs in ‘Participating in Developing Policies for Public Health,’ ‘Finance & Human Resources Management,’ and ‘Manage Medications & Supplements.’ Conversely, lower needs were observed for ‘Participating in Public Health Events Locally & Nationally’ and ‘Learning & Research Activities.’ Essential competencies for future Korean medicine doctors included utilizing electronic medical records, understanding telemedicine technology, and proficiency in artificial intelligence and big data analysis.
 Conclusions The results showed a higher importance than implementation for all competencies, highlighting the need to review the current educational curriculum. Specifically, there is a need to cultivate competencies in traditional Korean medicine related to law, policy, and system involvement, and to enhance management skills as practitioners. The study also underscored the necessity of incorporating digital technology competencies for future Korean medicine doctors.The findings underscore the necessity for a curriculum redesign.

Enhancing Smart Grid Resilience: An Educational Approach to Smart Grid Cybersecurity Skill Gap Mitigation

Cybersecurity competencies are critical in the smart grid ecosystem, considering its growing complexity and expanding utilization. The smart grid environment integrates different sensors, control systems, and communication networks, thus augmenting the potential attack vectors for cyber criminals. Therefore, interdisciplinary competencies are required from smart grid cybersecurity specialists. In the meantime, there is a lack of competence models that define the required skills, considering smart grid job profiles and the technological landscape. This paper aims to investigate the skill gaps and trends in smart grid cybersecurity and propose an educational approach to mitigate these gaps. The educational approach aims to provide guidance for competence-driven cybersecurity education programs for the design, execution, and evaluation of smart grids.

Analyzing the Construct Validity of Work Readiness Instruments for Indonesian Law Faculty Students Using the Rasch Model

Objective: The issue of undergraduate law students tends not to have clear work readiness, the data is obtained from several research results, the research findings have an indication of concern in interpreting the data which has an impact on inaccuracies in analyzing the data, the unclear construct of the instrument items studied, the measurements obtained depend on the characteristics of the test used, the item parameters depend on individual abilities, and measurement errors can only know for groups not individuals. Measuring instruments need to be tested for validity and reliability before being used on individuals to achieve valid and reliable goals. This study aims to test the validity and reliability of work readiness instruments based on the Work-Readiness Integrated Competence Model (WRICM) theory. Method: This research was conducted on 720 participants from several universities in Indonesia with a Cross Sectional Survey research design. The results of data collection were then analyzed through the Rasch model using the Winstep version 3.73 application. Results: The results showed a unidimensionality value of 36.1%, item reliability of 0.99. Of the 23 items created, there are 14 instrument items that have met the requirements of objective measurement. Conclusion: The Indonesian work readiness instrument obtained can be used to obtain data on work readiness needs as a foothold for determining the education strategy for law faculty students in Indonesia in terms of content, methods, and comprehensive evaluation.