Continuous Multidimensional Assessment System of Medical Residents in Teaching Hospitals

2021 ◽  
Author(s):  
mehdi yousefi ◽  
zahra ebrahimi ◽  
ali khorsand vakilzadeh ◽  
somayeh fazaeli ◽  
atousa ariafar ◽  
...  
Keyword(s):  
Data Analysis ◽  
Focus Group ◽  
Evaluation System ◽  
Assessment System ◽  
Research Management ◽  
Medical Residents ◽  
Teaching Hospitals ◽  
Expert Group ◽  
Continuous Assessment ◽  
Group Meetings

Abstract Background One of the most important principles in education, especially in clinical fields, is the evaluation of learners. Proper and continuous assessment can be used to provide appropriate feedback to students about their strengths and weaknesses. In this regard, the study aimed to design a system of continuous assessment of medical residents (SCMAR). Methods This study was performed using a combination of qualitative methods, including focus group discussion sessions and expert group meetings. The study population consisted of all the stakeholders involved in the learner evaluation process in Imam Reza Hospital Complex (IRHC) in Iran. This study was conducted in four steps, including identification of sub-axes and indicators through focus group discussions, review and approval of axes, sub-axes, and indicators in expert group meetings, model design by the research management team, and finally, agreement on sub-axes and indicators. Data analysis was performed during the agreement review stage in Excel software (2016 version). Results The finalized SCMAR consists of 10 main axes and 35 sub-axes. The axes include objectives, evaluators, areas and indicators of evaluation, evaluation periods, evaluation requirements, data collection, data sources, point assignment and data analysis methods, reporting, and feedback dissemination methods. Regarding areas and indicators of evaluation, 5 areas and 11 indicators were proposed. Conclusion A comprehensive evaluation system that continuously reviews the performance and professional behavior of learners can be used as a stimulus to improve the quality of delivered service and educational processes. The present study aimed to address this need by designing a framework.

scholarly journals Using a Professional Moderator in Library Focus Group Research

2003 ◽  
Vol 64 (2) ◽  
pp. 124-132 ◽  
Author(s):  
Eric C. Shoaf
Keyword(s):  
Data Analysis ◽  
Focus Group ◽  
Lessons Learned ◽  
Focus Group Research ◽  
University Library ◽  
Group Research ◽  
Library Users ◽  
Brown University ◽  
Focus Group Methodology ◽  
Group Meetings

Brown University Library hired a professional marketing and opinion research firm to conduct focus group meetings with library users and to provide data analysis. The discussion includes a review of the library literature on focus group use, practical aspects of focus group methodology, and the benefits of employing professionals where librarian expertise is low. Logistics of focus group preparation, meetings, and report are discussed. Findings and lessons learned are presented along with outcomes for the library.

scholarly journals Sistem Penilaian Prestasi Kerja pada PT. Bank Negara Indonesia (Persero) Tbk Kantor Cabang Syari'ah Pekanbaru, Riau

2020 ◽  
Vol 4 (1) ◽  
pp. 34-43
Author(s):  
Zulkifli Rusby ◽  
Muhammad Arif ◽  
Ahmad Hidayatullah
Keyword(s):  
Data Analysis ◽  
Job Performance ◽  
Performance Appraisal ◽  
Evaluation System ◽  
Assessment System ◽  
Appraisal System ◽  
Performance Evaluation System ◽  
Building Trust ◽  
Effective Level ◽  
Branch Office

Performance appraisal is a work achieved by a person in carrying out the tasks assigned to him based on skill, experience and sincerity as well as time. In this study the authors wanted to know the job performance evaluation system at PT. Bank Negara Indonesia (PERSERO) Tbk Syari'ah Pekanbaru Branch Office by focusing on 5 (five) research variables, and in this study can be seen as follows: (1) Achievement of Achievement, based on the results of processed and data analysis of respondents' answers obtained 71, 61%. (2) Building Trust, based on the results of the processed and data analysis of respondents' answers obtained 70.31%. (3) Focus on Customers, based on the results of processed and data analysis of respondents' answers obtained 69.27%. (4) Orientation on Quality, based on the results of the processed and data analysis of respondents' answers obtained 75.78%. (5) Cooperation, based on the results of the processed and data analysis of respondents' answers obtained 68.35%. And in this study it can be seen that the performance appraisal system at PT. Bank Negara Indonesia (PERSERO) Tbk Syari'ah Pekanbaru Branch Office has almost reached the effective level or can be said to be "quite effective" because it is in the range of 56-76%. This can be seen from the final results of data processing of several indicators of the existing variables of only 71.06%. From the results of the questionnaire that has been analyzed. Keywords: Assessment System, Job Performance, Islamic Banks

scholarly journals Application of Data Mining Algorithms in Data Analysis of Information Education Evaluation

2021 ◽  
Vol 2074 (1) ◽  
pp. 012089
Author(s):  
Guihua Tan ◽  
Yiran Liu
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Data Analysis ◽  
Evaluation System ◽  
Assessment System ◽  
Education Evaluation ◽  
Evaluation Data ◽  
Technology Application ◽  
Data Mining Algorithms ◽  
Mining Algorithms

Abstract In the new century, China has attached great importance to informatization work. Based on the development of education and teaching, the necessary infrastructure for informatization must be gradually improved. At the same time, we should make reasonable and effective use of information technology in the analysis of educational evaluation data, so that informatization teaching becomes an indispensable part of education. The purpose of this article is to study the application of data mining algorithms in data analysis of information education evaluation. This article will give full play to the interactive, dynamic and open advantages of the teaching resources of the network platform, combined with the ability of teachers to use information technology, rationally optimize the education evaluation data analysis system, use existing information technology to build an evaluation system, and evaluate the participating teachers. Ensure that the evaluation results are objective and effective. According to the overall framework and demand analysis of the system, the teacher information technology application ability assessment system is divided into different functional modules, each module is analyzed in detail according to user needs, and the corresponding database is designed. The evaluation system has an intuitive user interface, easy operation, and stable operation. It is suitable for first-line teachers and school administrators in primary and secondary schools to make a fair assessment of the teaching of teachers. Through the evaluation and analysis report, teachers can optimize and comprehensively understand their own teaching situation, see the problems in their teaching, and change the teaching method in time; appropriately summarize and analyze to improve the teaching level. Understand the teaching work of teachers, and realize the in-depth integration of informatization and teaching. Experimental investigations have shown that students have a great lack of experimental ability. The other four abilities are not far apart, all of which are above 70%. They are in the upper middle and upper reaches. Among them, the analysis and application tools are about 5% higher than the grade level. In general, the experimental ability must be strengthened to enhance. Let students achieve all-round development. Through the evaluation and analysis report, teachers can find their own shortcomings in teaching more clearly based on their optimization, and change the teaching methods in time; appropriately summarize and analyze to improve the teaching level.

scholarly journals Evaluation System at School Level in Nepal: Major Pitfalls and Considerations

2021 ◽  
pp. 60-66
Author(s):  
Yadu Prasad Gyawali
Keyword(s):  
Secondary Students ◽  
Portfolio Management ◽  
Evaluation System ◽  
Formative Evaluation ◽  
Evaluation Process ◽  
Assessment System ◽  
Assessment Tools ◽  
School Level ◽  
Project Work ◽  
Continuous Assessment

This paper aims to explore the pitfalls of the current evaluation system at the school level in Nepal focusing on the major consequences of educational practices as the output of the evaluation system. Although the provisions of formative assessment tools such as portfolio management and project work were included in the curriculum framework and policy documents, the evaluation process was based on a theoretical basis. Similarly, the judgmental written examination for assessing theoretical aspects and Continuous Assessment System (CAS) with backward-looking nature were involved in the evaluation process. The paper suggests to the educational stakeholders for the practical application and evaluation of soft-skills associated methods such as communication, creativity, cooperation and collaboration of basic and secondary students to promote formative evaluation and the curriculum concept of 'assessment for learning in Nepal.

scholarly journals Developing a Professional Performance Evaluation System for Pre-Service Automobile Repair Vocational High School Teachers in Taiwan

2018 ◽  
Vol 10 (10) ◽  
pp. 3537 ◽  
Author(s):  
Ming-Jenn Wu ◽  
Chi-Yo Huang ◽  
Yu-Sheng Kao ◽  
Yeou-Feng Lue ◽  
Liang-Chu Chen
Keyword(s):  
Teacher Education ◽  
Performance Evaluation ◽  
Focus Group ◽  
Evaluation System ◽  
Research Effort ◽  
Evaluation Criteria ◽  
Professional Standards ◽  
Professional Performance ◽  
Performance Evaluation System ◽  
Group Meetings

Educational quality is one of the most important factors for having well-trained human resources that support the productivity, competitiveness, and economic growth of a nation. Teachers have always played dominant roles in ensuring education quality. Thus, teacher education is becoming ever more important. However, scholars have long warned about the ineffectiveness of teacher preparation. Indeed, a significant gap still exists between current pre-service teacher education and ideal training. Thus, a new professional performance evaluation system for pre-service teachers will be very helpful in resolving long-term public dissatisfaction with schools. To resolve this problem, developing a performance evaluation system that contains professional standards, performance evaluation criteria, and a precise performance evaluation mechanism is essential to guarantee the highest teacher quality in Taiwan. The authors designed a two-stage research effort for a professional performance evaluation system for Taiwanese pre-service teachers of automobile repair. In the first stage, the Delphi method is introduced to develop pre-service teachers’ professional standards and key evaluation criteria using two iterations of Delphi processes and 14 iterations of focus group meetings based on experts’ opinions. In the second stage, a professional performance evaluation and review mechanism for pre-service teachers is developed using focus group meetings to collect opinions from six vocational education experts. The final performance evaluation system will enhance the quality of pre-service teachers in vocational high schools and serve as a useful model for other countries and economies.

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

User-centered Requirements for Patient Fluid Intake Monitoring Support

2020 ◽  
Vol 64 (1) ◽  
pp. 736-740
Author(s):  
Ellen J. Bass ◽  
Andrew J. Abbate ◽  
Yaman Noaiseh ◽  
Rose Ann DiMaria-Ghalili
Keyword(s):  
Data Analysis ◽  
Focus Group ◽  
Focus Groups ◽  
Real Time ◽  
Information Needs ◽  
Fluid Intake ◽  
Fluid Consumption ◽  
Registered Dietitians ◽  
Group Data ◽  
Focus Group Data

There is a need to support patients with monitoring liquid intake. This work addresses development of requirements for real-time and historical displays and reports with respect to fluid consumption as well as alerts based on critical clinical thresholds. We conducted focus groups with registered nurses and registered dietitians in order to identify the information needs and alerting criteria to support fluid consumption measurement. This paper presents results of the focus group data analysis and the related requirements resulting from the analysis.

scholarly journals ANALISIS PENERAPAN PEMUNGUTAN PAJAK PERTAMBAHAN NILAI PADA BUMN SEBAGAI PEMUNGUT DAN TIDAK SEBAGAI PEMUNGUT PAJAK PERTAMBAHAN NILAI (STUDI KASUS PADA PT PELABUHAN INDONESIA III Cabang Benoa)

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Agista Ayu Aksari
Keyword(s):  
Data Analysis ◽  
Value Added ◽  
The State ◽  
Assessment System ◽  
Sales Tax ◽  
Value Added Tax ◽  
Self Assessment ◽  
A Value ◽  
The Difference

On 1st July 2012 SOE (State-Owned Enterprises)become the Value Added Tax (VAT) collector. According to the regulation of the Ministher of Finance No.85/PMK.03/2012 about the appointment of the State Owned Enterprises to collect, deposit and reporting Value Added Tax (VAT) and Sales Tax on Luxurious Goods, and precedures for collecting, depositing and reporting. The purpose of this research is to determine the difference between SOE as a Value Added Tax collector and not as a Value Added Tax collector.The object of this research is PT Pelabuhan Indonesia III cabang Benoa. The data analysis in this research is to analyze the calculation and reportig of VAT before being VAT collector and when it became VAT collector.The result of this research it is known that are the application of the value added tax on PT Pelabuhan Indonesia III Cabang Benoa before becoming tax collector is charged directly by fiskus and has official assessment system and as a PT Pelabuhan Indonesia III Cabang Benoa has a self assessment system whereby PT Pelabuahan Indonesia III Cabang Benoa became ILL wapu. Differnce in PT Pelabuhan Indonesia III Cabang Benoa as a collector, and the collector Is a time before becoming a collector has aself just my assessment system whereas before becoming a collector has official assessment system. Tax eceipt when it became a collector of VAT using duplicate counts 3 before becoming a collector only uses 2 of the double. For SSp before becoming a duplicate while using 4 collector as a collector to use duplicate. DOI 10.5281/zenodo.1214932

scholarly journals Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model

Risks ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 202
Author(s):  
Ge Gao ◽  
Hongxin Wang ◽  
Pengbin Gao
Keyword(s):  
Credit Risk ◽  
Evaluation System ◽  
Predictive Accuracy ◽  
Assessment System ◽  
Gradient Boosting ◽  
Support Vector ◽  
Fusion Model ◽  
Light Gradient ◽  
Extreme Gradient Boosting ◽  
The Government

In China, SMEs are facing financing difficulties, and commercial banks and financial institutions are the main financing channels for SMEs. Thus, a reasonable and efficient credit risk assessment system is important for credit markets. Based on traditional statistical methods and AI technology, a soft voting fusion model, which incorporates logistic regression, support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), is constructed to improve the predictive accuracy of SMEs’ credit risk. To verify the feasibility and effectiveness of the proposed model, we use data from 123 SMEs nationwide that worked with a Chinese bank from 2016 to 2020, including financial information and default records. The results show that the accuracy of the soft voting fusion model is higher than that of a single machine learning (ML) algorithm, which provides a theoretical basis for the government to control credit risk in the future and offers important references for banks to make credit decisions.

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