• Education of Primary School Mathematics
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• v.14 no.1
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• pp.1-12
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• 2011

This paper provides an outline of mathematics education based on the classroom ecology. Ecology is the subject that concentrates on the relations of human and environment. As mathematics education consists of many factors, it is natural that mathematics education should be interest in the perspective of ecology. This paper examines the meaning of ecology and classroom ecology of mathematics education in the perspective of ecology. And it provides the directions of ecological mathematics education. In special, I set the frame of mathematics classroom in the perspective of ecology. The ecological structure divides microsystem(teacher, student, content), mesosysten(relations of microsystems), exosystem(school), and macrosystem(the objects of mathematics education). Lastly, I suggest the ways of mathematical learning and research of classroom ecology in mathematics education. For we should focus the improvement of students' mathematical ability, we must search for the various teaching and learning methods and the ares of research in the perspective of ecology classroom. Therefore, we should be interested in the classroom environments as well as teaching methods, contents based on the ecology classroom in mathematics education.

• Journal of Korean society of Dental Hygiene
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• v.12 no.1
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• pp.225-233
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• 2012

Objectives : This thesis aims to provide basic materials for exploring trends and operational strategy of the cyber training. To achieve study purpose, it analyzed the satisfaction of trainees in regard to the education of field training course of Cyber Oral Health Promotion Program, established and operated between 2007 and 2009. Methods : This study conducted questionnaire surveys after the completion of training to utilize the satisfaction level of 989 respondents among 1,310 employees of public institutions who completed the field training course of Cyber Oral Health Promotion Program. Results : Respondents showed satisfaction on the training course throughout three years in terms of satisfaction of instructional methods (screen characteristics, educational techniques, and so on) according to educational contents, the connection and realization of online education and service satisfaction, necessary for learning in association with educational guidance, offered to learners by a tutor and rapidity in questions and answers. A majority of respondents in all years answered that they participated in training program voluntarily for self-development and improvement in work ability, and they thought that the completion of course would be helpful to their current work and future work. In addition, cyber training program was primarily conducted in the working place by 72.5%, and the most difficult thing in cyber training was to combine work and learning by 60.6%. Conclusions : As shown in the results above, workers in public institutions were satisfied with cyber job training and it was evaluated that cyber job training would be helpful to performing their actual work. Therefore, it is needed to collect and evaluate more diverse requirements of trainees with regard to cyber job training, and the development and operation of job training program that reflects these results sufficiently is required.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.113-127
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• 2015

An interface in smart device environment is changing to TUI(touch user interface) environment where a system is being controlled by physical touch, differently from a system controlled through conventional mouse and keyboard. What is more important than anything else in this TUI environment is to implement interface in consideration of learn ability and cognitive constructivism according to user's experience. Therefore, now is the time when it is necessary to carry out various studies on smart content design process going a step farther together with discussing the details of user's experience factor. Hence, this study was intended to look into what effect a user's experiential traits had on the production of contents for the purpose of measures for improving TUI user satisfaction in order to effectively realize contents in smart environment. Results were yielded by using a statistical empirical analysis such as cross-tabulation analysis according to important variable and user, paired t-test, multiple response analysis, and preference frequency analysis of user preference on the basis of a survey. As a result, a system was presented for implementing DFSS(Design For Six Sigma) process. TUI experience factor can be divided into direct habitual experience, direct learning experience, indirect habitual experience, and indirect learning experience. And in the results of study, it was possible to find that the important variables of this study had a positive effect on the improvement of use satisfaction with contents on the whole according to the user convenience of smart contents. This study is expected to have a positive effect on efficient smart device-based contents production by providing objective information according to empirical analysis to smart media-based developer and designer and presenting a model for improving the changed TUI usability.

• School Mathematics
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• v.8 no.3
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• pp.265-290
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• 2006

The purpose of this study is to search an effective teaching & learning program by examining how much does Excel affect on problem solving of linear function. This study was based on qualitative case study. Teaching experiment was performed for seven periods with five students in 8th graders. Pre and posts tests were attempted to analyze the changes of student's ability on problem solving of linear function. The analysis of tests were performed in category with correct process-object perspective, near process-object perspective, incorrect process-object perspective. According to this study, the subjects showed an improvement on problem solving perspective of linear function. This meant that lessons using Excel had influenced on the problem solving of linear function. We noticed that exploring the learning environment with Excel could supplement paper-and-pencil environment. We believed that Excel with an intuitive dynamic and explorative skills can play a role in scaffolding to support problem solving of linear function.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2172-2180
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• 2016

As increasing the emphasis of competence-based learning, Project-base instruction is adopted more with frequency at the educational field. This study focuses on developing the methodology of project-based instructional system. The first one is to manage the project independently not to link with any module. The second one is to link a project to a module. And the third one is to link a project to the more than two major modules. Also It suggests the tool for project based instruction. Before & after class conducting the inspection for increasing satisfaction of instruction by the systematic management and improvement, the project base instruction shows the positive effect to promote the creative personality and problem solving ability. The contentment of the class increases 7% more at the 2nd year than the 1st. As a result, it can derive the evaluation of the pupils' higher achievement rate.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.15-20
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• 2021

The crisis of university must be overcome by emphasizing the acquisition and use of knowledge for students to participate in and solve contemporary and diverse social/regional problems through educational method innovation. University classes should be a way of contributing to solving human problems, the UN's Sustainable Development Goals(SDGs) and various issues in the community. This study focused on project-based learning to cultivate socially engaged and problem-solving talents. In addition, a problem definition toolkit model was produced and tested to improve problem solving ability. Through follow-up research, I plan to develop a performance measurement model corresponding to the field application-improvement-feedback of Living Lab project classes, and suggest a method that universities can easily apply to the existing curriculum.

• Journal of The Korean Association of Information Education
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• v.23 no.1
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• pp.39-53
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• 2019

In the era of the Fourth Industrial Revolution, improving computational thinking to solve problems by smoothly operating and utilizing software. Therefore, the ministry of education has introduced systematic SW education into public education as a revised 2015 curriculum with the aim of raising computational thinking. In order for SW education to be systematically stabilized at the school site, the teaching ability of the teacher must be supported above all. For this purpose, the government is promoting 'SWEET' for improvement of the elementary pre-service teachers' SW education program. However, even if the policy is pursued, there is a tendency to take measures to improve the teaching and learning methods in the field later, and since the subject of change in education is the teacher, it is necessary to grasp the reco-gnition, experience of teachers. This study analyzed qualitatively perception and experience of elementary pre-service teachers about SW education and suggested design guidelines for pre-service teacher training such as providing various learning examples.

• Journal of dental hygiene science
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• v.17 no.4
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• pp.368-374
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• 2017

The purpose of this study was to evaluate community dental hygiene practice education, by verifying its effect after applying project-based learning in improving the practical and social skills of learners. A 15-week project-based community dental hygiene practice course was held for 27 senior students, who took community dental hygiene practice course in the Department of Dental Hygiene, Gangneung-Wonju National University. Twenty-seven students were composed of 4 teams. Each team selected a target group for four workplaces for adult workers to apply the oral health promotion project. The project was then planned and conducted based on a survey on the health problems confronting each group, and an evaluation was carried out after 4 weeks. From the results obtained in comparing confidence in problem solving ability, project value, teamwork competency, and community dental hygienist competence before and after course, the improvement in project value and teamwork competence scores was not statistically significant, but all four areas showed positive results. After analyzing the project actuality, learning outcomes, and project satisfaction after course results, the actuality of the project was 19.30 points, the learning achievement was 45.19 points, and the satisfaction was 19.19 points, demonstrating that the aim of achieving actual performance competence and a learning performance exceeding expectations was accomplished. After conducting an interview survey with 8 students, it was found that they had learned social skills involving problem-solving abilities and confidence, and teamwork competence such as cooperation, role responsibility, creative thinking ability, and communication skills. Community dental hygienists should be able to acquire learner-level practical skills and social skills in the community dental hygiene and practical courses, according to their competencies and job needs. It is necessary to develop a project?based systematic learning module to enable the community dental hygiene practice to operate as a subject closely related to fields in other dental hygiene departments.

• Educational Technology International
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• v.6 no.2
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• pp.23-41
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• 2005

One of the main factors that determine the quality of instruction is the teaching ability of the instructor administering the class. To evaluate teaching ability, methods such as peer review, student feedback, and teaching portfolio can be used. Among these, because feedback from the students is directly associated with how well the students feel they have learned, it is essential to improving instruction and teaching ability. The principal aim of instruction evaluation lies in the evaluation of instructor's qualification and the improvement of instruction quality by enhancing professionalism. However, the mandatory instruction evaluations currently being carried out at the term's end in universities today have limitations in improving instruction in terms of its evaluation items and times. To improve the quality of instruction and raise teaching abilities, instruction evaluations should not stop at simply being carried out but also be utilized as useful data for students and teachers. In other words, they need to be used to develop teaching and improve instruction for teachers, and consequently, should also exert a positive influence on students' scholastic achievements and learning ability. The most important thing in evaluation is the acquisition of accurate information and how to utilize it to improve instruction. The online instruction diagnosis item pool is a more realistic feedback device developed to improve instruction quality. The instruction diagnosis item pool is a cafeteria-like collection of hundreds of feedback questions provided to enable instructors to diagnose their instruction through self-diagnosis or students' feedback, and the instructors can directly select the questions that are appropriate to the special characteristics of their instruction voluntarily make use of them whenever they are needed. The current study, in order to find out if the online instruction diagnosis item pool is truly useful in reforming and improving instruction, conducted pre and post tests using 256 undergraduate students from Y university as subjects, and studied the effects of student feedback on instructions. Results showed that the implementation of instruction diagnosis improved students' responsibility regarding their classes, and students had positive opinions regarding the usefulness of online instruction diagnosis item pool in instruction evaluation. Also, after instruction diagnosis, analyzing the results through consultations with education development specialists, and then establishing and carrying out instruction reforms were shown to be more effective. In order to utilize the instruction diagnostic system more effectively, from planning the execution of instruction diagnosis to analyzing the results, consulting, and deciding how those results could be utilized to instruction, a systematic strategy is needed. In addition, professors and students need to develop a more active sense of ownership in order to elevate the level of their instruction.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.