Academic literature on the topic 'Degree Discipline: Cello Performance'

Contemporary activity of a higher education teacher in the field of physical education and sports is characterized by a variety and complex content. To achieve the desired result in the physical education of students, such content must be subject to a clear logic of functioning and control. Any reasonable and rationally organized activity in the field of physical education and sports can be divided into such components as: planning, implementation, control and accounting. The unity of the functioning of these components will allow you to most effectively build and manage the process of physical education in the organization of higher education. The problem of control and accounting of physical education of students is one of the most urgent pedagogical problems, since the success of the entire process of physical education in the organization of the higher education depends on the control and accounting. To improve the physical education of students in the organization of higher education, an in-depth development of the control and accounting fund for the content and methods is necessary. We reveal the content and methods of control and accounting of student performance (bachelor’s degree students) in elective discipline “Volleyball”.

The accurate measurement of cell and nuclei contours are critical for the sensitive and specific detection of changes in normal cells in several medical informatics disciplines. Within microscopy, this task is facilitated using fluorescence cell stains, and segmentation is often the first step in such approaches. Due to the complex nature of cell issues and problems inherent to microscopy, unsupervised mining approaches of clustering can be incorporated in the segmentation of cells. In this study, we have developed and evaluated the performance of multiple unsupervised data mining techniques in cell image segmentation. We adapt four distinctive, yet complementary, methods for unsupervised learning, including those based on k-means clustering, EM, Otsu’s threshold, and GMAC. Validation measures are defined, and the performance of the techniques is evaluated both quantitatively and qualitatively using synthetic and recently published real data. Experimental results demonstrate that k-means, Otsu’s threshold, and GMAC perform similarly, and have more precise segmentation results than EM. We report that EM has higher recall values and lower precision results from under-segmentation due to its Gaussian model assumption. We also demonstrate that these methods need spatial information to segment complex real cell images with a high degree of efficacy, as expected in many medical informatics applications.

This study aims to determine the correlation between work motivation and work discipline on teacher performance. The formulation of the problems in this study: (1) is there a correlation between work motivation and teacher performance?, (2) is there a correlation between work discipline and teacher performance?, (3) is there a correlation between work motivation and work discipline on teacher performance. This type of research is descriptive quantitative. The sample in this study amounted to 74 students. Data collection techniques in the form of tests and documentation. The instrument used was a test sheet. The theories used are teaching and learning strategy theory and learning evaluation theory. The results of this study. Based on the respondents' perceptions of work motivation, a score range of 116-150 was obtained, with a total score of 20409 and an average score of 130.79 which in this case was categorized as quite good. Respondents' perceptions about the effect of work discipline on teacher performance obtained a score range of 107 - 151, with a total score of 20191.00 and an average score of 134.43 which is in the good category. The degree of influence of the work motivation variable (X1) and the work discipline variable (X2) on teacher performance (Y) was 0.73 or 73%. This shows that the teacher's performance (Y) is jointly (simultaneously) influenced by the work motivation variable (X1) and the work discipline variable (X2) by 73% while the remaining 27% is influenced by other factors outside the equation model.

Companies in achieving organizational goals requires human resources with high performance. Sophistication teknoloogi owned by the company does not mean anything if they are not supported by adequate human resources. This study aimed to determine the effect of labor discipline on the performance of employees at PT WOM Finance Kebumen. The method used is descriptive quantitative method. The analytical method used is the Spearman rank correlation and coefficient of determination. The results showed that employee discipline and performance of employees at PT WOM Finance Kebumen are in either category in number 80,63% and 80%. The relationship between the variables of labor discipline with the performance of employees amounted to 0,833 at the 5% significance level that the degree is very strong relationship in a positive direction. The coefficient of determination showed 0.682 which means that the variable is explained by the variable performance of employees working discipline by 68.2% and the remaining 21.8% is explained by other factors beyond the study.

The students’ discipline plays a significant role in the improvement of academic performance. However, any lack of students’ discipline, significantly affect negatively the level of students’ discipline. The purpose of this study therefore was to establish the relationship between students’ discipline and academic performance in secondary schools in Rwanda for advanced level studying-French-English Kinyarwanda in Rusizi district. The study adopted correlation research design while structured questionnaires, interview guide and desk review were used as data collection instruments. The target population was 283 respondents. The sample size was 166 obtained by the use of Yamane formula. The sample was obtained by the use of simple random and stratified sampling techniques. Questionnaire, interview guide and desk review were used to collect the data. The findings revealed that there is a statistical significant high degree of positive relationship between students’ discipline and academic performance. It was revealed that regular class attendance, respect of school rules and regulation and being given punishment among students create a positive change in students’ academic performance. The study recommended that the government should design effective policies and discipline guidelines. The head teachers should ensure the suitability of a set of rules and regulations in the least performing schools and there is a need to ensure students punishment management and adequate administration of school rules and regulations. Students should respect and comply with school rules and regulations through punctuality, demand of permission, constant attendance, doing homework at time, respect to teaching staff and school management personnel. Keywords: Students’ performance, students’ discipline, secondary schools, Rwanda

In 2015 the threshold learning outcomes (TLOs) for Australian bachelor degree graduates in the discipline of Environment and Sustainability were released. This study road tested the Environment and Sustainability TLOs in the workplace via environmental science students’ internship placement. The study, which incorporated surveys of host-supervisors, students and teaching staff, was conducted over four years. The surveys enabled comparisons between the performance expected of a new graduate by employers with the level of performance students achieved while on placement. Overall, hosts expect new graduates to be ‘Capable’ performers (2.8 on a 5 point scale). Host-supervisors also rated the overall performance of interns as ‘Capable’ (3.4/5). Expected performance of a new graduate for individual TLOs was compared with the performance of interns. Students exceeded the expectations of host-supervisors for all TLOs. In contrast, teaching staff rated the performance of students lower than students themselves and host-supervisors. Fundamental differences in the way students are assessed in the workplace and the classroom may account for the difference in perceived student performance. The results of the surveys can be used as evidence that the degree is meeting the needs of industry and for graduates to undertake professional work in the Environment and Sustainability discipline. The methodology has the potential to be used in any discipline that has published TLOs. The authors recommend that the Australian Qualifications Framework is reviewed and a rubric that describes student behaviour is used rather than vague terms such as ‘well developed’.

The 360 degree feedback method is one of the performance appraisal methods which implementation takes an assessment of the parties around the employee being assessed. The 360 degree feedback method performance appraisal system conducted at PT. Pertamina RU IV (Persero) Cilacap aims to determine the implementation of the performance appraisal system using the 360 degree feedback method, determine employee performance with what variables are used in performance appraisal, and obtain performance optimization. The research method used in this research uses qualitative methods with a quantitative approach. The 360 degree feedback method is used to find data from respondents, namely from superiors, colleagues, themselves and subordinates. Based on the research that had been done, it had succeeded in determining the best workers from each discipline and position based on the calculation of variables and indicators used. The 360 degree feedback performance assessment can help the company appropriately to provide rewards for workers with the highest percentage and provide punishment for workers with lowest percentage. The calculation of these variables and indicators helps the company to find the right solution in an effort to optimize the performance of its employees.Keywords: performance, performance appraisal, 360 degree feedback method

In order to promote the prosperity and development of the research on “regional tourism performance” and better guide the practice of regional tourism development, this paper gives a basic and comprehensive review of the research activities on “regional tourism performance.” Data were collected from 418 English papers (2004–2020) collected from the Web of Science database. This study uses CiteSpace and Gephi to analyze the development of the thematic research from four dimensions: research overview, knowledge base, discipline structure, and research frontier. The study found that “regional tourism performance” is still a hot spot of the future. The existing literature on “regional tourism performance” mainly focuses on constructing models, exploring influencing factors, and innovating management models to improve tourist satisfaction, enhance regional tourism competitiveness, and promote regional economic growth. Panel data, entropy index, data envelopment analysis, bootstrap truncated regression models, coupling coordination degree, and spatial variation are the main research methods. Since 2016, cultural tourism, heritage tourism, rural tourism, tourism destinations competitiveness, and regional tourism governance have become hot topics in the thematic research. This paper is helpful to improve the research efficiency of the thematic research, promote the theoretical results to better guide the practice, and improve the level of regional tourism performance. However, this paper has limitations in terms of concept differentiation and data accuracy.

This book queries from three different angles what it means to speak of Homeric poetry together with the word “text.” Scholarship from outside the discipline of classical studies on the relationship between orality and textuality motivates and undergirds the project. Part I uses work in linguistic anthropology on oral texts and oral intertextuality to illuminate both the verbal and oratorical landscapes our Homeric poets fashion in their epics and what the poets were striving to do when they performed. Looking to folkloristics, Part II examines modern instances of the textualization of an oral traditional work in order to reconstruct the creation of written versions of the Homeric poems through a process that began with a poet dictating to a scribe. Combining research into scribal activity in other cultures, especially in the fields of religious studies and medieval studies, with research into performance in the field of linguistic anthropology, Part III investigates some of the earliest extant texts of the Homeric epics, the so-called wild papyri. Written texts of the Iliad and the Odyssey achieved an unprecedented degree of standardization after 150 BCE. By looking at oral texts, dictated texts, and wild texts, this book traces the intricate history of Homeric texts from the Archaic to the Hellenistic period, long before the emergence of standardized written texts. Researchers in a number of disciplines will benefit from this comparative and interdisciplinary study.

AbstractProcess mining enables organizations to uncover their actual processes, provide insights, diagnose problems, and automatically trigger corrective actions. Process mining is an emerging scientific discipline positioned at the intersection between process science and data science. The combination of process modeling and analysis with the event data present in today’s information systems provides new means to tackle compliance and performance problems. This chapter provides an overview of the field of process mining introducing the different types of process mining (e.g., process discovery and conformance checking) and the basic ingredients, i.e., process models and event data. To prepare for later chapters, event logs are introduced in detail (including pointers to standards for event data such as XES and OCEL). Moreover, a brief overview of process mining applications and software is given.

This chapter explores the employment patterns of male and female Computer Science graduates in the UK. It is shown that women Computer Science graduates fare less well than men on a variety of measures of employment success, despite being more likely to leave university with a better degree. Their performance is compared to that of women from a comparable scientific and male-dominated discipline: engineering. The results show that women graduates from Computer Science degrees enjoy less success in securing graduate-level work than that experienced by other groups of women, including those graduating from engineering. Most notably, women computer science graduates are less likely to secure graduate-level work within the work sphere that their degree has prepared them for: ICT. The utility of explanations focusing on individual preferences, versus those focusing on extra-individual, demand-side factors, is discussed in the context of the findings.

School principals are expected to carry out many duties such as realizing the strategic aims, mission, and vision of the schools, maximizing school performance, maintaining discipline in schools and have many skills and knowledge in management processes. In preschool settings, principals need more training and have understanding of early child education because they have influence on teachers, students, and school context. That’s why quality of principal training programs is very crucial for school progression. This research aimed to determine and analyze the principal qualification requirements of preschools in Turkey. The results of this research will help universities to enrich their education management master and PhD degree programs and contribute to the General Directorate of Teacher Training and Development in Turkey during the organization process of the Education Management Certificate Program to meet the principal qualification requirements of preschools.

It has been widely documented that many undergraduate students demonstrate antipathy towards statistics. This paper documents the findings from an investigation of statistics education in a sport and exercise science department at The University of Chichester in the UK. Sports science is a multidisciplinary subject that encompasses biomechanics, physiology, and psychology. The university had a suite of four programmes each with a different emphasis in terms of subject discipline. Academics’ use and interpretation of statistics are influenced by their subject specialism within sports science. The investigation evaluated the differences in examination performance between degree programmes, gender and previous mathematics achievement. Findings from the analysis of examination results found mathematics qualification to significantly affect achievement in statistics examinations. Qualitative analysis provided contextual detail that support the need for professional and pedagogic development.

Design of haptic devices requires trade-off between many conflicting requirements, such as high stiffness, large workspace, small inertia, low actuator force/torque, and a small size of the device. With the traditional design and optimization process, it is difficult to effectively fulfill the system requirements by separately treating the different discipline domains. To solve this problem and to avoid sub-optimization, this work proposes a design methodology, based on Multidisciplinary Design Optimization (MDO) methods and tools, for design optimization of six degree-of-freedom (DOF) haptic devices for medical applications, e.g. simulators for surgeon and dentist training or for remote surgery. The proposed model-based and simulation-driven methodology aims to enable different disciplines and subsystems to be included in the haptic device optimization process by using a robust model architecture that integrates discipline-specific models in an optimization framework and thus enables automation of design activities in the concept and detail design phase. Because of the multi-criteria character of the performance requirements, multi-objective optimization is included as part of the proposed methodology. Because of the high-level requirements on haptic devices for medical applications in combination with a complex structure, models such as CAD (Computer Aided Design), CAE (Computer Aided Engineering), and kinematic models are considered to be integrated in the optimization process and presenting a systems view to the design engineers. An integration tool for MDO is used as framework to manage, integrate, and execute the optimization process. A case study of a 6-DOF haptic device based on a TAU structure is used to illustrate the proposed methodology. With this specific case, a Multi-objective Genetic Algorithm (MOGA) with an initial population based on a pseudo random SOBOL sequence and Monte Carlo samplings is used for the optimization.

Aim/Purpose: This brief paper will provide preliminary insight into an institutions effort to help students understand the application of the scientific method as it applies to the business discipline through the creation of a dedicated, required course added to the curriculum of a mid-Atlantic minority-serving institution. In or-der to determine whether the under-consideration course satisfies designated student learning outcomes, an assessment regime was initiated that included examination of rubric data as well as the administration of a student perception survey. This paper summarizes the results of the early examination of the efficacy of the course under consideration. Background: A small, minority-serving, university located in the United States conducted an assessment and determined that students entering a department of business following completion of their general education science requirements had difficulties transferring their understanding of the scientific method to the business discipline. Accordingly, the department decided to create a unique course offered to sophomore standing students titled Principles of Scientific Methods in Business. The course was created by a group of faculty with input from a twenty person department. Methodology: Rubrics used to assess a course term project were collected and analyzed in Microsoft Excel to measure student satisfaction of learning goals and a stu-dent satisfaction survey was developed and administered to students enrolled in the course under consideration to measure perceived course value. Contribution: While the scientific method applies across the business and information disciplines, students often struggle to envision this application. This paper explores the implications of a course specifically purposed to engender the development and usage of logical and scientific reasoning skills in the business discipline by students in the lower level of an bachelors degree program. The information conveyed in this paper hopefully makes a contribution in an area where there is still an insufficient body of research and where additional exploration is needed. Findings: For two semesters rubrics were collected and analyzed representing the inclusion of 53 students. The target mean for the rubric was a 2.8 and the overall achieved mean was a 2.97, indicating that student performance met minimal expectations. Nevertheless, student deficiencies in three crucial areas were identified. According to the survey findings, as a result of the class students had a better understanding of the scientific method as it applies to the business discipline, are now better able to critically assess a problem, feel they can formulate a procedure to solve a problem, can test a problem-solving process, have a better understanding of how to formulate potential business solutions, understand how potential solutions are evaluated, and understand how business decisions are evaluated. Conclusion: Following careful consideration and discussion of the preliminary findings, the course under consideration was significantly enhanced. The changes were implemented in the fall of 2020 and initial data collected in the spring of 2021 is indicating measured improvement in student success as exhibited by higher rubric scores. Recommendations for Practitioners: These initial findings are promising and while considering student success, especially as we increasingly face a greater and greater portion of under-prepared students entering higher education, initiatives to build the higher order thinking skills of students via transdisciplinary courses may play an important role in the future of higher education. Recommendations for Researchers: Additional studies of transdisciplinary efforts to improve student outcomes need to be explored through collection and evaluation of rubrics used to assess student learning as well as by measuring student perception of the efficacy of these efforts. Impact on Society: Society needs more graduates who leave universities ready to solve problems critically, strategically, and with scientific reasoning. Future Research: This study was disrupted by the COVID-19 pandemic; however, it is resuming in late 2021 and it is the hope that a robust and detailed paper, with more expansive findings will eventually be generated. *** NOTE: This Proceedings paper was revised and published in the journal Issues in Informing Science and Information Technology, 18, 161-172. Click DOWNLOAD PDF to download the published paper. ***

Abstract Objectives/Scope Cloud based end to end digital project management platform with digital control tower, as fundamental technologies of the fourth industrial revolution, have enormous potential to improve real time visibility, productivity, collaboration, data sharing, efficiency, predictability, decision power and sustainability in the construction industry. Throughout the lifecycle of capital / mega projects, the engineering, construction, operations, and maintenance stakeholders face numerous issues, including the lack of trust and visibility, inefficiencies, and the fragmentation of the information value chain into fragile data silos. Digital control tower aimed to narrow down the time, budget and quality & safety challenges of a capital project by having overall / end to end control of project from initiation phase to handover and operations phase of the project. Methods, Procedures, Process Digital control tower provides systematic, 360-degree view of project details along with real-time analytics spanning from design engineering, pre-construction planning, onsite execution, action tracker, construction services, equipment's, quality, budget and safety (leading and lagging indicators). Stakeholders involved throughout the project lifecycle (i.e.: owner, engineering team, pre-construction and planning team, construction management and site team), enables instantaneous connectivity from the top floor to the shop floor for seamless communication by reducing waste time. Digital control tower also enables bird's eye view for real time project performance monitoring and progress, it also enables week wise look ahead task for better monitoring and control, also narrows down the issues or concerns to an activity, area or person. The control tower can create the customizable necessary discipline/function dashboards available to all relevant roles and stakeholders without limitation. Results, Observations, Conclusions Digital Control Tower leverages Artificial intelligence, Machine learning and Blockchain technologies to seamlessly capture, maintain and process fragmented data set into intelligent predictive analytics which helps the project stakeholders to take right decision on right time, so as to avoid any kind of delays in project. Novel/Additive Information Digital Control Tower is not a standard dashboard, it's an integrated digital ecosystem where stakeholders can drive projects with real time data for decision making.