In this paper we are comparing how the OER (open educational resources) are developed in Higher Education in Finland and South Korea. We also present a comparison model for further studies. Essential findings based on our comparison are that in both countries there are many best practices of use of the OER and open learning. Open educational resources have great potential and their use can ensure quality teaching and learning. The activity has not inspired the great mass of higher education teachers in Finland and Korea. Traditionally, a teacher's job is working alone, and so a new operational culture is required. Our comparison indicates that numerous questions, fears and problems and cultural differences are also related to the thematic. There is an evident need for a new kind of strategic leadership, a new kind of teaching and learning culture and a doing together and production ideology for the method to spread. Based on our study the following interlinked elements of OER seem to be pivotal: changes to pedagogies, technology and operational culture; educational policy intention; and attitude to culture. Lastly, comparison frame by OER practice model is developed.
Purpose - Recently, entrepreneurship education has been revitalized with interest in entrepreneurship. Entrepreneurship education is an educational service activity that is provided for entrepreneurship and individual start-up success within a certain period of time. According to previous studies on entrepreneurship and entrepreneurship, the satisfaction of entrepreneurship education affects entrepreneurship and as a result increases entrepreneurship. In recent years, the number of female entrepreneurs has also increased as the number of entrepreneurial issues has increased. Based on previous studies, this research proposed the theoretical framework about the structural relationships among mentoring quality (career development, psychological social, role modeling), education satisfaction, recommendation intention and entrepreneurial intention. This study is to find out the possibility of attempting to create a theoretical basis for entrepreneurial mentoring education in entrepreneurship education program. Research design, data, and methodology - In this model, mentoring quality consists of three sub-dimensions such as career development, psychological social, and role modeling. In order to test research model and hypotheses, the data were collected from 203 female college students who participated in entrepreneurial education. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and structural equational modeling with SPSS 24.0 and SmartPLS 3.0 statistical program. Result - The results of the study are as follows. First, role modeling has a positive effect on recommendation intention and entrepreneurial intention. Second, career development has a strong negative effect on the entrepreneurial intention. Third, career development and role modeling had a positive effect on educational satisfaction, and educational satisfaction had positive influence on recommendation intention and entrepreneurial intention. Conclusions - As women's social advancement becomes more active, start-up support programs including entrepreneurship mentoring are increasing. The results of this study suggest how to use the mentoring program mix and how to allocate the resources for the education program when the entrepreneurial education manager plans and executes the mentoring education program. For example, this study shows that career development and role modeling enhance educational satisfaction, and in turn increase recommendation intention and entrepreneurial intention. This means that entrepreneurship education should consist of contents that include career development functions such as sponsorship, guidance, protection, and provision of challenging work. In addition, the findings of this study indicate that mentors should perform the function of allowing the participants to have confidence and professional thinking ability at the time of start up based on their experiences.
Purpose: The purpose of this study was to investigate the knowledge and educational needs of nurses and physicians on home ventilator. Methods: The participants were 140 nurses and 47 physicians working at departments using home ventilators. The data were collected from January 30 to February 12, 2012 through a self-administered questionnaire with 32 items of the knowledge and educational needs on home ventilator. Results: The mean scores of nurses' and physicians' knowledge were 2.52 and 2.56 respectively. The mean scores of nurses' and physicians' educational needs were 3.16 and 3.06 respectively. Nurses' knowledge was associated with their experience using and receiving education about home ventilator and willingness to receive education about home ventilator education. Nurses' educational needs were associated with their present working department and experience using home ventilator. Nurses with high knowledge were more likely to have high educational needs. Physicians' knowledge and educational needs were not associated with any their general characteristics. Conclusion: Nurses' and physicians' knowledge of home ventilator were low and their educational needs on home ventilator were high. To provide high quality of care for home ventilators, it is necessary to provide nurses and physicians with education and to develop a more specific educational program for them.
The purpose of this study is to provide an objective insight for factors that affect people's visiting behavior to educational farms. Second, this study aims to identify the underlying dimensions representing motivations and constraints for visiting educational farms. Third, this study explores differences among the classified groups with respect to structural relationships of each construct. Finally, identifying strategies of educational farm-related organizations could develop to reinforce visit motivations, offset visit constraints and ultimately increase behavioral intention for potential possible visitors to revisit and recommend educational farms. Empirical results of the study suggest implications for promoting the current farm villages and markets with many stakeholders in agricultural industries. Nevertheless, there are some limitations as followed: first, despite the possibility of their effects, the study did not consider other factors, which could affect revisiting behavior such as destination image, experiencing attributes etc. Second, the study needs improvements through longitudinal research because the cross-sectional research could not rule out the alternative explanations. The directions for the future study are as follows: first, future study requires time series approach instead of cross sectional approach. Secondly, future study might utilize comparative study regarding regional characteristics of educational farms or a nation-wide approach. Thirdly, future study can suggest a combined educational farms considering practical educational farm cases. Lastly, it is considered that developing evaluation measures such as quality authentication system will contribute to educational farms' stabilization.
In order to create a safe and comfortable educational environment and improve the quality of education, the 'Act on the Safety and Maintenance of Educational Facilities' was enacted in 2021. Accordingly, 'Educational Facility Safety Certification Operation Regulations' was established. Safety certification targets are classified into 'kindergarten', 'elementary/middle/high school and special schools', and 'university and other educational facilities'. Other educational facilities include libraries and student training facilities. However, student training facilities and libraries are different from schools as facilities for special activities such as training and reading. Therefore, the unique characteristics of the facility must be reflected in the 'Educational Facility Safety Certification Operation Regulations'. This study analyzed how the 'Educational Facility Safety Certification Operation Regulation' reflects the special characteristics of student training facilities and libraries that are 'other educational facilities'. The previous certification system and guidelines were compared and analyzed, and the on-site survey method was used. Finally, it was confirmed that each of the library and the student training facility needed 9 detailed criteria reviews.
The Journal of Korean Association of Computer Education
/
v.16
no.5
/
pp.49-58
/
2013
The purpose of this review is to identify factors that affect the quality of cyber universities. While the previous studies focused on the university-level factors, the review revealed that the country-level, social-level, and individual-level variables are also important factors influencing the quality of cyber universities organically and systematically. Therefore, the current study asserts that additional predictors should be added with regard to its systemic structure. These variables would include basic educational environment (e.g., teachers, staff, educational system), related regulations, management system, student willingness to participate in learning and their motivation, the government's awareness of cyber universities and polity support, and societal recognition/assessment of cyber universities.
Game industry developed much from fast development of an information communication technology and an internet technology. Game industry is getting attention by high value-added industry in 21th century And genre of various game appeared. On-line game is taking charge of important role of latest IT industry Now, game software market for education is expanded, but a lot of side effects exist because of wrong game software. In this paper, we investigate existent researches about quality evaluation of on-line game's qualitative improvement. Also, we present improving quality evaluation constituent additionally.
Outcome-Based education (OBE) is reviewed from the institutional perspective. The demand for and international trends in OBE are briefly examined and several term related to OBE, especially educational objective and program outcomes (POs), are introduced. It is stressed that systems for continuous quality improvement and quality assurance should be established to ensure the maintenance of the OBE system. Because the criteria for accreditation contain a criterion regarding the quality assurance related to program outcomes, several critical issues are considered regarding the POs themselves and the reduction of the POs. The core value of OBE is not only to provide appropriate education services to students to prepare them with the minimum skills and abilities for advancing their professional service, but also to guarantee the quality of graduates. In addition, the educational program should be continuously improved by employing the evaluation results acquired during the operation of the OBE systems. It is certain that an OBE system is one important aspect of student-centered education.
International Journal of Computer Science & Network Security
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v.22
no.6
/
pp.339-345
/
2022
Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.
Objectives: The reliability and educational quality of videos on YouTube for patients seeking information regarding instrument separation in root canal treatment were evaluated. Materials and Methods: YouTube was searched for videos on instrument separation in root canal treatment. Video content was scored based on reliability in terms of 3 categories (etiology, procedure, and prognosis) and based on video flow, quality, and educational usefulness using the Global Quality Score (GQS). Descriptive statistics were obtained and the data were analyzed using analysis of variance and the Kruskal-Wallis test. Results: The highest mean completeness scores were obtained for videos published by dentists or specialists (1.48 ± 1.06). There was no statistically significant difference among sources of upload in terms of content completeness. The highest mean GQS was found for videos published by dentists or specialists (1.82 ± 0.96), although there was no statistically significant correlation between GQS and the source of upload. Conclusions: Videos on YouTube have incomplete and low-quality content for patients who are concerned about instrument separation during endodontic treatment, or who experience this complication during endodontic treatment.
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