• International Journal of Knowledge Content Development & Technology
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• v.6 no.2
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• pp.93-108
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• 2016

Rethinking and re-conceptualization of knowledge organization has become necessary as a result of recent changes brought by digitization, networked resources, and interdisciplinary shifts. This paper calls for a review of curriculum and changes in teaching approaches to respond to these changes. The paper suggests expanding the scope of knowledge organization by adding new topics, and recommends placement of these topics in different courses (introductory or foundation courses, core or required courses, and electives or specialized courses) for a balanced approach. The paper also proposes a change in the mindset about the target of these courses and recommends knowledge organization work be extended from institutions to individuals. It is also suggested that knowledge organization work responsibilities are broadened to involve authors, knowledge workers, and information users rather than restricting it only to trained information professionals. The paper highlights that the digital environment makes it necessary to change the context for teaching KO courses and goes beyond the collection of information resources and addresses personal information management needs as well. The paper concludes that fundamental changes tantamount to re-conceptualization of the area of knowledge organization, which is expected to open up new opportunities for information graduates aspiring to work in information environment beyond libraries.

• Journal of Industrial Convergence
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• v.3 no.2
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• pp.51-71
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• 2005

As the living standards have been enhanced thanks to rapid to rapid economic growth following industrial progress, today the advancement of woman into specialized jobs keep expanding not only for economic purpose such as increasing family income but also due to changed perception on woman's role, i.e. self-realization. In the actual situations, however, women are generally placed in a inferior position compared with men in most jobs, despite existence of gender equality policy. Therefore, concern and study on female adaptation into job and their work attitude have become increasingly important, which can contribute to alleviating women's discontent in the work but to raising efficiency of job execution and improving work quality. In this treatise, I researched the job attitude of woman for the period of 1980 up to 2005, with interval of every 5 years. For empirical analysis, research has been done towards females teachers in elementary and middle schools as well as female works in financial institutions. Both job fields have comparatively high percentage of female employees and have less sexual discrimination. The purpose of this vertical research is (1) to find out how women workers perceive their job environment, (2) to analyze empirically the change in female job attitude and their flow of consciousness. Ultimately this treatise aimed at contributing to efficient management of female work force in our society.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.807-815
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• 2021

Microfinance is seen as a tool for poverty elimination by providing various services characterized as financial and non-financial to minority groups in the society to be included in the mainstream financial system. This paper seeks to examine the effect of microfinance institutions' (MFIs) financial and non-financial services on women's entrepreneurship and empowerment in Jordan as a developing country. To gain a deeper understanding of the effectiveness of microfinance services, the study is undertaken to address the question of what kinds of services are available and whether the MFI services are in line with the actual needs of women entrepreneurs to improve their performance. Hence, a qualitative approach was adopted in this study using semi-structured interview questions to collect data from twenty-four women entrepreneurs in Jordan. The results showed that, as regards financial services, the most important needs of women entrepreneurs include providing adequate financing with necessary financial facilities such as reducing interest, reducing monthly installments, and extending the grace period, while non-financial services should include holding specialized courses, accessing a counseling center, providing incentives and psychological support, marketing support, and monitoring and evaluation. This study concluded that factors associated with MFI play a crucial role to uplift women entrepreneurs and eliminate gender inequality.

• Journal of Marine Bioscience and Biotechnology
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• v.13 no.1
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• pp.20-27
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• 2021

Ironically, marine bioresource production in Chungnam Province is the second-largest in the country. The province's marine bioresource production puts its lack of a marine bioindustry in the spotlight despite the region's favorable conditions to produce representative value-added and (ultra) high value-added products such as neutraceutical and/or pharmaceutical function. This juxtaposition is to be expected, as there are no institutions for training professionals in the field of marine biology or in the fisheries industry in the West Sea area. The unique features of the region require individuals with specialized training who have been educated in accordance with regional development and the specificity of the region. Recently, however, a plan has been initiated at the national level to foster the growth of the marine biology industry in the Chungnam Province on Korea's west coast. This plan includes increasing funds to the marine biology market to 1.2 trillion by 2030. If the Chungnam region wants to successfully revitalize the marine biology industry and put the increased funds to efficient use, it must first establish various research and (business) development (R&(B)D) plans regarding local marine biology infrastructures and marine biology programs at local universities. It must also focus on training specialists to protect, maintain, and develop the region's marine bio-resources to increase the growth of the region's bioindustry.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.306-312
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• 2021

The main goal of higher education institutions is to present a high level of quality education to its students. This study uses data mining techniques to extract educational data from cumulative databases and used them to make the right decisions. This paper also aims to find the factors affecting students' academic performance in Majmaah University, KSA, during 2010 - 2017 period. The study utilized a sample of 6,158 students enrolled from two colleges, males and females. The results showed a high percentage of stumbling and dismissed between graduate and regular students where more than 62.5% failed to follow the plan. Only 2% of students scored distinction during their study of all graduated since their grade point average, secondary level, was statistically significant, where p<0.05. Dismissed percentage was higher among males. These results promoted some recommendations in which decision-makers could take them in considerations for better improvement of academic achievements: including of specialized programs to follow-up in regards to stumbling and failure. Utilization of different communication tools are needed to activate academic advisory for dismiss and dropout evaluation.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.254-260
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• 2022

The purpose of this study was to identify the obstacles facing gifted students with learning disabilities (GSLDs) from the point of view of their teachers in the Makkah region and to find suggested solutions to overcome these obstacles. The study covered Makkah, Jeddah and Taif and used semi-structured interviews which included open-ended questions. The study findings indicated that there were several educational obstacles including the absence of adapted courses or specialized teachers for GSLDs category and the insufficient time for the students to express their talents. According to the findings, there were also societal obstacles including the society's failure to expect the presence of talents along with disabilities, or its denial or rejection of their talents in addition to ridiculing them. The findings also confirmed the existence of administrative obstacles including the lack of community partnership. There were also family obstacles such as the family's lack of encouragement for the students, and ignorance of the nature of GSLDs. The study came up with a number of solutions and proposals related to awareness, educational institutions, education and competitions for talented people with learning disabilities.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.2
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• pp.18-24
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• 2023

According to the results of a survey by Boeing, LOC-I (Loss of Control in Flight) was the highest in the number of deaths by fatality accident category in the past 10 years from 2012 to 2021, and the number of deaths worldwide due to LOC-I accidents was 757. It turned out to be the biggest cause of aircraft fatalities, with a figure close to twice the sum of UNK (Unknown or Undetermined), which is the 2nd place, and CFIT (Controlled Flight Into or Toward Terrain), which is the 3rd place. This study set six scenarios related to spatial disorientation that may occur during sensory-dependent flight targeting student pilots and instructor pilots at domestic designated specialized educational institutions using flight simulation training equipment, and in each scenario, the pilot's. The need for SDRT (Spatial Disorientation Recovery Training) is verified by analyzing the flight experience and recovery ability by qualification, and SDRT is repeatedly performed to verify and present the training cycle and time.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.71-78
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• 2023

Employee turnover is one of the most important challenges facing modern organizations. It causes job experiences and skills such as distinguished faculty members in universities, rare-specialized doctors, innovative engineers, and senior administrators. HR analytics has enhanced the area of data analytics to an extent that institutions can figure out their employees' characteristics; where inaccuracy leads to incorrect decision making. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. By using feature selection methods: Information Gain and Chi-Square, the most important four features have been extracted from the dataset. These features are over time, job level, salary, and years in the organization. As one of the important results of this research, these features should be planned carefully to keep organizations their employees as valuable assets. The proposed model based on machine learning algorithms. Classification algorithms were used to implement the model such as Decision Tree, SVM, Random Frost, Neuronal Network, and Naive Bayes. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84 percents and AUC (ROC) 74 percents. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner.

• Korean Journal of Childcare and Education
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• v.20 no.3
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• pp.85-106
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• 2024

Objective: The purpose of this study is to explore the experiences of early childhood teachers in teaching young children with language development delays. Methods: Eight early childhood teachers with experience teaching children with language development delays were interviewed. The collected data were analyzed through transcription, coding, and theme generation processes, resulting in three main themes and seven sub-themes. Results: First, early childhood teachers mentioned difficulties in communication due to language development delays, the need for communication support with peers, and a lack of support from families. Second, the guidance for young children with language development delays was provided by considering the characteristics of these children and through collaboration among various stakeholders. Third, early childhood teachers requested tailored training for teaching young children with language development delays. They also called for the establishment of a cooperative system among early childhood education institutions, families, and specialized agencies. Conclusion/Implications: Based on the research findings, a discussion was conducted on the support needed for guiding young children with language development delays, and suggestions were made for further research in this area.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.31-39
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• 2020

Big data analysis is analyzed and used in a variety of management and industrial sites, and plays an important role in management decision making. The job competency of big data analysis personnel engaged in management analysis work does not necessarily require the acquisition of microscopic IT skills, but requires a variety of experiences and humanities knowledge and analytical skills as a Data Scientist. However, big data education by state-run and state-run educational institutions and job education institutions based on the National Competency Standards (NCS) is proceeding in terms of software engineering, and this teaching methodology can have difficult and inefficient consequences for non-technical majors. Therefore, we analyzed the current Big Data platform and its related technologies and defined which of them are the requisite job competency requirements for field personnel. Based on this, the education courses for big data analysis and visualization techniques were organized for non-technical-based majors. This specialized curriculum was conducted by working-level officials of financial institutions engaged in management analysis at the management site and was able to achieve better educational effects The education methods presented in this study will effectively carry out big data tasks across industries and encourage visualization of big data analysis for non-technical professionals.