• The Journal of the Convergence on Culture Technology
• /
• v.9 no.2
• /
• pp.127-132
• /
• 2023

The rapid development and progress of information and communication technology are bringing about changes in the field of education, and innovative methods in teaching-learning have been introduced and applied a lot in the actual field starting with the pandemic. Reflecting this trend, the purpose of this study is to examine the perception of prospective elementary school teachers on the use of edutech, which is widely used in the educational field after COVID-19. To this end, I analyzed the results of 7 major ideas selected at the Edutech Utilization Competition held by K University of Education and the focus group interview conducted with 2 pre-service teachers. As a result of the analysis, it was found that prospective elementary school teachers valued the necessity and importance of edutech-based classes. In addition, they were positively aware of the educational effect of edutech-based classes. To sum up, it could be predicted that edutech classes are also linked to the policies and plans of the Ministry of Education, and will play an important role in effectively guiding future learners while achieving the goals set by the curriculum.

• Journal of Engineering Education Research
• /
• v.18 no.4
• /
• pp.26-33
• /
• 2015

The purpose of this study is to microscopically analyze the problem solving activities in creative robotics making and programming activity in order to investigate the characteristics of team interaction in accordance with MBTI disposition of team members in the creative robotics making activity in which the engineering education has a lot interest in the recent years. For the prosecution of this study, teams composed of 2 students targeting 30 students who were at the related department of engineering education in the college of eduction, A university located in Daejeon were organized. In addition, individual propensities of team members, in other words, team dynamic structure and team interaction were analyzed through microscopical analysis of the problem solving activities in creative robotics making and programming activity. The results of this study showed that there was a static correlation between the organization of MBTI Heterogeneity team and the interaction of team members, and also there was a positive interaction of team members in organizing MBTI Homogeneity team in area of Thought (T) - Feeling (F). In addition, mutual complement to solve the problems was carried out and the problem-solving capability was shown in the course of the communication along with the organization of MBTI team of extreme heterogeneity.

• Journal of The Korean Association of Information Education
• /
• v.8 no.4
• /
• pp.501-510
• /
• 2004

The activation of the latest ICT(Information and Communication Technology)education has been putting more importance on the education of the application SW(software). By the way, the geometric progression of knowledge and the fast development of computer technology have continuously created new SW. Accordingly, the previous traditional SW learning paradigm runs into various problems. This study starts from the recognition of such problems. In this study, the SW adaptability is defined as the ability that learners can efficiently find and apply the suitable functions of SW to those problems in the problematic circumstances as well as promote retention and metastasis. With these premises, this paper makes an inquiry into the teaching-learning method. Besides, This paper explores the SW usability and the principles of UI(User Interface) design and deduces the SW learning strategy. Furthermore, it probes problems of the SW teaching-learning of the demonstration practice method and proposes the inquiring master for SW adaptability teaching-learning model.

• Journal of The Korean Association of Information Education
• /
• v.22 no.6
• /
• pp.689-699
• /
• 2018

The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.

• Korean Journal of Organic Agriculture
• /
• v.26 no.3
• /
• pp.327-349
• /
• 2018

The purpose of the study focuses on the agriculture education services in the changing rural areas conditions such as population decline, aging society, and returning farmers. The study reviews the effects of agricultural education services on returning farmers and local residents for satisfaction, intention for recommendation, and intention to continue participation. Further, the study aims to investigate any difference in the level of satisfaction for two groups. The results suggested that there is a meaningful difference between return-farmers and local residents. Among the demographic variables, age and income showed a notable difference. However, sex, level of education and type of household did not suggest noticeable differences. In addition, the study accessed agricultural education from a service perspective and analyzed its service quality and customer satisfaction, loyalty and relationship using a service profit chain model. Like the result of most other studies, the analysis showed that these had positive relationships. While the study focused on the efficiency of agriculture education training program in agriculture technology centers, the study carries a meaningful value in that it discovered a meaningful difference in the satisfaction level between returning farmers and locals despite the fact that agriculture education was applied as a part of service. In practical terms, the study pointed out the need for consumer-centered education that reflects the characteristics of the groups rather than standardized education.

• Journal of The Korean Association of Information Education
• /
• v.6 no.2
• /
• pp.225-233
• /
• 2002

Students are getting more opportunities to use the internet at school and home with the development of information & communication technology and the spread of computers. It can be used for education; otherwise, it also has some negative side effects, such as, the circulation of unsound information, game addiction, the misuse and overuse of information. Information communication ethics education is needed to protect students from those negative side effects in cyber space. This paper presents the systematic education contents and ways to teach correct information communication ethics education form the results of questionaires to students, teachers and parents, and other related study.

• Journal of Engineering Education Research
• /
• v.25 no.5
• /
• pp.44-54
• /
• 2022

The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

• Geomechanics and Engineering
• /
• v.13 no.5
• /
• pp.861-879
• /
• 2017

Coal and gas outburst is a serious dynamic disaster that occurs during coal mining and threatens the lives of coal miners. Currently, coal and gas outburst is commonly predicted using single indicator and its critical value. However, single indicator is unable to fully reflect all of the factors impacting outburst risk and has poor prediction accuracy. Therefore, a more accurate prediction method is necessary. In this work, we first analyzed on-site impacting factors and precursors of coal and gas outburst; then, we constructed a Fisher discriminant analysis (FDA) index system using the gas adsorption index of drilling cutting ${\Delta}h_2$, the drilling cutting weight S, the initial velocity of gas emission from borehole q, the thickness of soft coal h, and the maximum ratio of post-blasting gas emission peak to pre-blasting gas emission $B_{max}$; finally, we studied an FDA-based multiple indicators discriminant model of coal and gas outburst, and applied the discriminant model to predict coal and gas outburst. The results showed that the discriminant model has 100% prediction accuracy, even when some conventional indexes are lower than the warning criteria. The FDA method has a broad application prospects in coal and gas outburst prediction.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.6
• /
• pp.1506-1514
• /
• 2015

In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.

• Journal of Medicine and Life Science
• /
• v.21 no.3
• /
• pp.53-61
• /
• 2024

With the rapid development of technology and societal change, a shift from traditional classroom instruction to more diverse educational methods in medical education is necessary. As an effective approach to providing flexibility and accessibility while maintaining the benefits of face-to-face interactions, blended learning, which integrates online and offline learning, has gained attention. This study examines the current status and best practices of the aforementioned blended learning, analyzes its application in domestic and international contexts, and derives effective instructional design strategies. A comprehensive review of previous research and empirical cases reveals a conceptual framework and core principles for designing such blended learning. Key considerations include strategic integration of online and offline activities, facilitation of self-directed learning and interaction, effective use of technology, and continuous quality improvement. Furthermore, we suggest contextually relevant strategies, such as designing curricula focused on clinical reasoning, providing iterative practice opportunities, enhancing reflection, and fostering future competencies. The case analysis establishes that blended learning is implemented in various forms across different medical schools and curricula. Common features include the linkage of online and offline learning, incorporation of learner-centered methods, and emphasis on practical competencies. However, the limited number of cases suggests that generalizations may be premature. Successful implementation requires multifaceted efforts, including gradual introduction, faculty support, flexible curricula, safety measures, and institutional support. Accumulating empirical research and evidence of their effectiveness can facilitate their wider dissemination. This study provides implications and future directions for innovative medical education using hybrid learning.