The purpose of this study is to examine the change in the beliefs of regular classroom teachers after participating in a gifted education lectures and practicum as well as the effectiveness of the lectures and practicum. Each teacher was asked to complete a pre-/ a mid-/ and post-journal, detailing their expected characteristics and then describing what occurred and how their initial expectations were altered. The teachers mentioned high thinking skills, creativity, fast problem solving skills, and a lack of communication skills as intellectual characteristics of gifted students and high motivation and task commitment as social characteristics. They mentioned the characteristics in textbooks on pre- and mid-journals, but presented their observations in post-journals such as lack of communication skills, competitive spirit, and frustrations. The study found that teachers broadened their view of giftedness, recognized the need to adapt instructions for gifted students, realized the necessity of knowing the students to differentiate instruction patterns, and emphasized teaching-learning strategies for the gifted. These results contribute to the promise of having regular classroom teachers engage in a field experience with gifted students to supplement discussions about gifted education lectures.
Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.
Journal of The Korean Association For Science Education
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v.31
no.2
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pp.239-255
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2011
As a case study on the use of coteaching in science instruction for science-gifted elementary students, this paper analyzed the characteristics of coteaching science instruction for science-gifted elementary students by plan, performance, and reflection-evaluation stages of the classes. To do this, we observed two teachers' coteaching science instruction for science-gifted elementary students during twelve classes and analyzed the taped videos, their journals, and the transcripts for in-depth interviews with them. The results indicated that the characteristics of the coteaching science instruction, in the planning stage of the classes, showed improvement in the quality of the sciencegifted education programs, the reduction of the psychological burdens of developing the programs, and some efficiency loss due to the joint preparation of the classes. The characteristics in the performance stage of the classes include the seamless progression of the classes through the division of roles, the increase of the students' opportunity to explore, the supplement of the teachers' inadequate descriptions and the overlooked contents, the increase of the interaction between teachers and students and/or the interaction among students, the reduction of the risk of accidents in experiments, and the reduction of the responsibility for teaching. Finally, the characteristics in the reflectionevaluation stage of the classes could be attributed to the diversity of the evaluation viewpoints, the increase of the learning opportunities to develop the teaching professionalism, and the increase of the fear for assessing my own classes.
Purpose - As the members of the baby boomer generation have retired in earnest, the start-up market has received more attention than ever before. According to recent statistical data, an increasing number of entrepreneurs are in their fifties. There has been a continuous increase in promotional materials on small business issues published by start-ups. This means that senior start-ups have increased in number. A number of support systems have been established for youth start-ups, but there are few government support policies in place for the senior start-up market. Thus, this study suggests a number of constructive alternatives from the perspective of government policy and marketing strategy for entrepreneurs, in order to generate competitiveness in the start-up process, through examining the current state of the senior start-up and by diagnosing extant problems. Research design, data, methodology - This study gives a number of options regarding the government's support policies and the securing of competitiveness in order to vitalize senior business start-ups. As for the government's support policies, funding support policy, publicizing business start-up policies, and operating systematic mentoring policies before retirement have all been covered. In particular, in order for senior business start-ups to become competitive, development through mutual relations with diverse policies is urgently needed. The aging population is becoming an issue in Korea, so businesses for the aged, and the creation of jobs for these people, will become a social issue. Senior business start-ups are playing an important role in expanding enterprise productivity, in addition to enhancing national competitiveness. Expanding senior business start-ups is important, because they also serve to expand the national infrastructure. Productivity increase through continuous expansion is thus recommended. Results - In order to expand the competitiveness of business start-ups, marketing-related observations and learning in regard to customers are necessary for the baby boomer generation, and competitiveness for seniors is urgently needed. Conclusions - Studies on the business start-up policies for the domestic baby boomer generation are almost non-existent, and systematic studies on small businesses are necessary. Only the government is providing statistical studies for small businesses, and such research remains at a general level for entrepreneurs. Therefore, a support system that can actually assist entrepreneurs is essential. Continuous business start-up studies with respect to the baby boomers should be vitalized, to invigorate studies on competition. In order to supplement and strengthen foundational support, senior business start-ups must develop various competitive capabilities with a focus on the customer. The government and the various stakeholder agencies and organizations involved with start-up businesses must find ways to offer support to founders. Such support should include access to knowledge and legal and consultancy services in order to incubate the rapid increase in start-ups founded by seniors. Government support projects should be expanded to meet this end.
This study was attempted to demonstrate the service performance of non-face-to-face real-time video lecture service conducted in the coronavirus crisis in early 2020. Lecture service is divided into service production and service delivery from a service system perspective, and its role of lecture service system and the relationship between lecture service benefits and service satisfaction perceived by learners is demonstrated. In order to demonstrate this structural impact relationship, the result of analysis through a questionnaire survey on a total of 268 undergraduate students at G University, showed that the role and level of the non-face-to-face real-time video lecture service system affects the service convenience and service satisfaction. In the additional analysis, the learning orientation learners group perceived the service system level or role in the lecture service and the service benefit itself higher than the relationship orientation learners group. In the past, when a face-to-face class was conducted, learners group who attended a lot of extra curriculum activities perceived the benefits of coronavirus prevention lower than those of a group that did not. In this way, it is necessary to supplement the lecture service system by identifying the role expectation in the lecture service for the high relationship orientation group and the preferring extra curriculum activity group after detail research.
Proceedings of the Korea Water Resources Association Conference
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2019.05a
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pp.164-175
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2019
The Tor Tong Daeng Irrigation Project with the irrigation area of 61,400 hectares is located in the Ping Basin of the Upper Central Plain of Thailand where farmers depended on both surface water and groundwater. In the drought year, water storage in the Bhumipol Dam is inadequate to allocate water for agriculture, and caused water deficit in many irrigation projects. Farmers need to find extra sources of water such as water from farm pond or groundwater as a supplement. The operation of Bhumipol Dam and irrigation demand estimation are vital for irrigation water allocation to help solve water shortage issue in the irrigation project. The study aims to determine the smart dam operation system to mitigate water shortage in this irrigation project via introduction of machine learning to improve dam operation and irrigation demand estimation via soil moisture estimation from satellite images. Via ANN technique application, the inflows to the dam are generated from the upstream rain gauge stations using past 10 years daily rainfall data. The input vectors for ANN model are identified base on regression and principal component analysis. The structure of ANN (length of training data, the type of activation functions, the number of hidden nodes and training methods) is determined from the statistics performance between measurements and ANN outputs. On the other hands, the irrigation demand will be estimated by using satellite images, LANDSAT. The Enhanced Vegetation Index (EVI) and Temperature Vegetation Dryness Index (TVDI) values are estimated from the plant growth stage and soil moisture. The values are calibrated and verified with the field plant growth stages and soil moisture data in the year 2017-2018. The irrigation demand in the irrigation project is then estimated from the plant growth stage and soil moisture in the area. With the estimated dam inflow and irrigation demand, the dam operation will manage the water release in the better manner compared with the past operational data. The results show how smart system concept was applied and improve dam operation by using inflow estimation from ANN technique combining with irrigation demand estimation from satellite images when compared with the past operation data which is an initial step to develop the smart dam operation system in Thailand.
Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.
In this study, it is necessary to supplement the Korean language curriculum in order for international students to adapt and settle in Korea in an era where education is being transformed into future education due to the 4th industry. In the KFL (Korean as a Foreign Language) situation encountered by international students, they suffer from difficulties in university mathematics due to communication problems due to lack of language ability, which is one of the stress factors for cultural adaptation in the Korean language education program. To solve this problem, we analyzed ESL programs in English-speaking countries and KSL programs in Korea to set educational goals, curriculum, and educational methods to achieve goals for international students, and to establish curriculum and learning processes. Therefore, the Korean language education program (KSL program) for foreign students in the Korean language curriculum should also be supplemented by accepting the advantages of setting accurate goals for the ESL program and linking it with university graduation in the curriculum of English-speaking countries. In addition, for international students to learn Korean, an integrated Korean language education course and management system using IT suitable for the 4th industrial age is needed.
This study was conducted to discuss educational implications by analyzing the types of mathematical thinking that appeared in challenge math in 5th and 6th grade math teacher's guidebooks. To this end, mathematical thinking types that can be evaluated and nurtured based on teaching and learning contents were organized, a framework for analyzing mathematical thinking was devised, and mathematical thinking appearing in Challenge Math in the 5th and 6th grade math teachers' guidebooks was analyzed. As a result of the analysis, first, 'challenge mathematics' in the 5th and 6th grades of elementary school in Korea consists of various problems that can guide various mathematical thinking at the stage of planning and implementation. However, it is feared that only the intended mathematical thinking will be expressed due to detailed auxiliary questions, and it is unclear whether it can cause mathematical thinking on its own. Second, it is difficult to induce various mathematical thinking at that stage because the questionnaire of the teacher's guidebooks understanding stage and the questionnaire of the reflection stage are presented very typically. Third, the teacher's guidebooks lacks an explicit explanation of mathematical thinking, and it will be necessary to supplement the explicit explanation of mathematical thinking in the future teacher's guidebooks.
Considering the importance of spatial thinking in the process of learning astronomy, it is necessary to educate pre-service teachers on teaching methods that consider spatial thinking from the teacher training program stage. Accordingly, after providing education on spatial thinking to pre-service science teachers, problems and improvement plans perceived by them were explored for the images and inquiry activities of astronomy textbook units. In this study, spatial thinking in the astronomical domain was defined as the amalgam of the concepts of space, representation tools, and reasoning processes. The juniors attending the University of Education in the metropolitan area were educated on spatial thinking for two weeks in October 2021. They were then asked to voluntarily select one of the astronomy units to analyze problems in the textbooks and present modification plans to address those problems. Finally, 33 cases presented by 22 pre-service science teachers were analyzed, and the results of the study were as follows. Pre-service teachers recognized the problems in textbooks in terms of the concepts of space and reasoning processes, and proposed improvement plans to supplement them. However, in some cases, even if pre-service teachers properly recognized a problem, the improvement plan was not appropriate, or they were not able to analyze the images or inquiry activities in terms of spatial thinking. This study is significant in that it shows that pre-service teachers have the potential to properly reorganize and revise textbooks by participating in teacher training programs on spatial thinking. Furthermore, based on the results of this study, the direction of the teacher training program concerning spatial thinking was discussed.
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