• Journal of Korean Elementary Science Education
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• v.29 no.4
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• pp.552-566
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• 2010

This paper is an in-depth case study to analyze integrated elementary science lesson planning and practical teaching by two teachers at an urban elementary schools. One is an experienced teacher and the other is a beginning teacher. For this study, researchers asked teachers to design 5 stages of lesson planning after sharing basic theories about the integrated science education. The first of the 5 lesson planning stages is curriculum analysis and choice of integrated science topic. The second stage is constructing the frame of integrated science lesson contents, and the third is drawing a diagram of the integrated science lesson development. The fourth stage is making a table of lesson plans, and the last stage is writing integrated science lesson plans. Then, the teachers implemented the lessons they created. They taught students one unit of science which is composed of 8 lessons. Difficulties that teachers meet during designing plans and integrated science class were analyzed. 5 staged lesson planning, video transcriptions, teacher interview about lesson planning and teaching, researchers' checklists, reports of inspection classes, teachers' self evaluation, and students interviews were used for this study. One of the significant results of this study is that both experienced and beginning teachers had many difficulties in deciding on time to teach and contents of science and other subjects, as well as selection and organization of whole topics of integrated science teaching. The beginning teacher especially had greater issues with developing definite teaching-learning strategy to conduct thoughts and views for integrated science at the whole unit and each lesson. However, the experienced teacher was using various teaching-learning strategies by utilizing integrated science teaching professionalism to develop students' integrated thinking ability during the instruction of other subjects. The outcomes of this study are that both teachers could deeply understand the need and value of integrated science education at the elementary school through planning and teaching 8 lessons, and that they could have self-confidence with development of teaching professionalism for integrated science teaching. It may be possible that this study could help the development of pre- and in-service program for improvement of integrated science teaching professionalism for elementary school teacher.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.65-79
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• 2022

Non-face-to-face classes continue due to Covid-19. There have been e-learning classes since the past, but the difference is that the current non-face-to-face classes are blended classes that combine real-time and recording classes or combine face-to-face and non-face classes. It is also characterized by being able to self-filmed or choose various lecture platforms in a place other than a dedicated studio. The advantages of non-face-to-face classes can be learned beyond time and space, and repetitive viewing and learning speed can be adjusted. Greening classes have no time and place constraints, and real-time classes have the advantage of high communication effects with learners. Evaluating whether non-face-to-face classes provide sufficient quality compared to face-to-face classes or e-learning will be necessary if branded classes are considered for post Covid. In this paper, for the evaluation of the service quality of non-face-to-face classes, the essential attributes desired by the instructors were derived from the viewpoint of Kano quality attributes and a quality improvement plan was proposed. After expressing the degree of functions that non-face-to-face classes should have on the X-axis and the satisfaction of learners on the Y-axis, 23 quality attributes were classified into 6 quality dimensions. In addition, satisfaction coefficient, dissatisfaction coefficient, and customer satisfaction improvement index were derived. As a result, 50% of learners were satisfied with non-face-to-face classes, but the preference was slightly higher than satisfaction, suggesting the sustainability of non-face-to-face classes. In terms of the customer satisfaction improvement index, the ranking of attributes with the largest increase in satisfaction when improving class quality was as follows. Professors' quick answers to learners' questions, content that can fully explain the subject, what the professor explains easily, develop high-quality content that can be learned on mobile phones, fairness of attendance checks, and real-time classes should start on time.

• Journal of the HCI Society of Korea
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• v.13 no.2
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• pp.31-44
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• 2018

In the IoT environment, various things could be connected. Those connected things learn and operate themselves, by acquiring data. As human being, they have self-learning and self-operating systems. In the field of IoT study, therefore, the key issue is to design communication system connecting both of the two different types of subjects, human being(user) and the things. With the advent of the IoT environment, much research has been done in the field of UI design. It can be seen that research has been conducted to take complex factors into account through keywords such as multi-modality and interusability. However, the existing UI design method has limitations in structuring or testing interaction between things and users of IoT environment. Therefore, this paper suggests a new UI prototyping method. In this paper, the major analysis and studies are as follows: (1) defined what is the behavior process of the things (2) analyzed the existing IoT product (3) built a new framework driving personality types (4) extracted three representative personality models (5) applied the three models to the smart home service and tested UI prototyping. It is meaningful with that this study can confirm user experience (UX) about IoT service in a more comprehensive way. Moreover, the concept of the personality of things will be utilized as a tool for establishing the identity of artificial intelligence (AI) services in the future.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.293-299
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• 2015

MOOC (Massive Open Online Course) is an online course aimed at limited participation and open access via the web. There is even the prospect that MOOC may break down the existing university system and open a new horizon of education. However, MOOC is going differently from the first prospect that it would threat the existing higher education institutions. So this study wishes to provide a starting point of discussion that we can produce and utilize MOOC to fit our situation of higher education by revealing the inherent problems of MOOC. MOOC is a basically online education, so that it cannot help inheriting the essential weakness of the existing one: the interaction, supervision and evaluation. The newly added concept 'massive' raises the problem of class size which is the most sensitive part in the field of education. The concept 'open' reverses a customized education because MOOC is a kind of video clips of a lecture for unspecific massive learners. As a conclusion, we predicts that MOOC will be positioned as a higher education service for very prominent learners in self-led learning ability and people who cannot access even traditional online higher education institutions. Also MOOC is highly likely to be used as a means of Flipped Learning in universities. Therefore, considering these points in the future, we need to develop MOOC to suit these targets.

• Journal of The Korean Association For Science Education
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• v.30 no.2
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• pp.192-205
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• 2010

We have investigated the recognition for the gifted science education program of middle school students being educated at the local center for the gifted. We developed a questionnaire that includes items for contents of the program, learning environments, participation attitude, effects of the program and improvements, and consists of it5-point Likert items and related descriptive items. 161 students at the local centers for the gifted responded to the questionnaire. The total score was 3.70 on a 5-point Likert scale. The score of effects of the program was highest, learning environments was the lowest. Most of the students referred that the participation of the programs help their schoolwork because of schoolwork preparations & review, learning the process of the solving problem and principle. On the contrary, difficult contents and long lesson hours interrupted their schoolwork. Students recognized that the programs are mainly composed of students' self-activities and the role of teachers is subsidiary. The programs have a good effect on them to increase interest in science and creative thinking. It is necessary that the program be improved in lesson hours, contents of the program, school facilities, and full service.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.55-69
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• 2017

Recently, the IoT (Internet of Things) environment is being developed rapidly through network which is linked to intellectual objects. Through the IoT, it is possible for human to intercommunicate with objects and objects to objects. Also, the IoT provides artificial intelligent service mixed with knowledge of situational awareness. One of the industries based on the IoT is a car industry. Nowadays, a self-driving vehicle which is not only fuel-efficient, smooth for traffic, but also puts top priority on eventual safety for humans became the most important conversation topic. Since several years ago, a research on the recognition of the surrounding environment for self-driving vehicles using sensors, lidar, camera, and radar techniques has been progressed actively. Currently, based on the WAVE (Wireless Access in Vehicular Environment), the research is being boosted by forming networking between vehicles, vehicle and infrastructures. In this paper, a research on the recognition of a traffic signs on highway was processed as a part of the awareness of the surrounding environment for self-driving vehicles. Through the traffic signs which have features of fixed standard and installation location, we provided a learning theory and a corresponding results of experiment about the way that a vehicle is aware of traffic signs and additional informations on it.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.1-23
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• 2014

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.

• Journal of The Korean Association of Information Education
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• v.19 no.3
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• pp.261-270
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• 2015

In this paper, a strategy of cooperation activities was conducted to analyze on the impact of what effect appears in teacher training. We classified with satisfaction, effectiveness and academic achievement as effects of teacher training. We were divided into three groups that are cooperative-reflection activity group using the SNS, self-reflection activity group and general training group. Depending on the type of reflection activity, we have one-way ANOVA analysis for the effectiveness of teacher training. By the results of the analysis, we found to have a positive impact that cooperative reflection activity group were more an academic achievement, satisfaction and effectiveness of training. Accordingly, we have found the SNS-based collaborative reflection activity is very effective in teacher training.

• The Mathematical Education
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• v.56 no.2
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• pp.177-191
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• 2017

This study was to investigate the effect of the statistics education program for the test-free semester. Two tests of questionnaires were used after revising some items for the subjects and statistical contents covered according to the purpose of the study during the 2nd semester, 2016. one was for finding students' attitude toward statistics and the other for understanding my career exploration. The statistics education program was developed for 5 lesson units and was applied to two classes with 53 students of one middle school in Gyeonggi-province. The results showed that students' understanding on career exploration was improved especially, in self understanding, perceiving career world related to statistics, and economical & educational understanding in statistical career. Also, the three areas such as interest, value, and effort among five areas about students' statistical attitude which was measured by the attitude test revised from the previous study, were improved with statistical significance. Moreover, we analyzed the degree of students' satisfaction over the program. Most of students were satisfied with the program saying that "I could not believe it is over now. The time has gone so fast." or "My mentor(a pre-service teacher) helped me a lot." Therefore, the program for the test-free semester should include the contents for exploring future-career and relating to real life.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.1-19
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• 2011

Following the growth of e-Business, there has been a recent increase of interest in promoting Social Business (s-Business) based on Social Network Service(SNS). As the introduction of the Internet brought about the increasing number of its users followed by the growing market of e-Commerce, online games, and e-Learning, the increasing number of SNS users has opened the new markets combining the existing industrial fields with SNS, and it developed into a revenue model beyond the mere sharing of information. Despite such industrial and social environments, understanding of new social business technology from the aspect of business has been insufficient, and the empirical study on participation in the social business has been scant as well. Thus, the main purpose of this study is to investigate the s-Business in detail and to study the factors giving influence to the users' participation in s-Business. This study proposes six variables(Self-Empowerment, Job Relevance, Formation of Social Capital, Relative Advantage, Shared Value, Relationship Specified Investment) and the moderating effects of Psychological Contract as influential factors closely related with s-Business. A total of 362 data from a survey were analyzed by using Structural Equation Modeling(SEM). Result showed that all factors with the exception of Job Relevance have meaningful influence on the intention to participate in s-Business. The implication of the findings suggests to compliment limitations of the existing researches, and to prepare the theoretical foundation for promoting s-Business participation in addition to further suggesting directionality from the view point of the users of the social business-relevant studies.