• Journal of The Korean Association For Science Education
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• v.34 no.5
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• pp.421-436
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• 2014

The purposes of this study were to develop the customized instructional programs by the causes of science underachievement and to identify the effectiveness of these programs. For these, we analyzed the characteristics of underachievers and causes of science underachievement and classified 22 7th grade science underachievers into three different types such as lack of science process skill, lack of science learning motivation, and lack of science learning strategy. They then were divided into the experimental and comparative groups. Instructional programs treated for both groups covered the same topics and were conducted once a week for 60 minutes each time for 15 weeks. Eleven students in the comparative group were treated with an activity-centered science program that dealt with basic science concepts. Unlike science underachievers in the comparative group, those in the experimental group were given customized instructional program. After the treatment, students were administered several tests including a test on awareness of the program, science process skill test, science learning motivation and strategy test, and academic science achievement test. In addition to the results of those tests, worksheets, daily activity reports, and interviews were used to evaluate a customized instructional program that was applied to the experimental group. Results of the study showed that these programs relieved science underachievers from the cause of poor achievement and accordingly help them achieve better performance in academics. In addition, both lack of learning motivation and lack of learning strategy types tended to relieve the other causes of science underachievement. Also, the experimental group showed a high level of satisfaction with the customized instructional programs.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.339-351
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• 2020

In response to changes in Fourth Industrial Revolution in recent years, the field of education has focused on development of the human resources in the areas of artificial intelligence (AI: Artificial Intelligence) and industrial robot. Due to particular interest in these areas, the importance of developing integrated human resources equipped with artificial intelligence technology is emphasized in higher education and vocational competence development. In regards to rapid changing environment, this study created a program "Fostering personalized AI integrated human resource" and established an operational model correspond to latest personalized education trend. The established operational model was conducted twice using Delphi survey with experts in AI and innovative education in order to verify the suitability of program's basic structure, training process, and the sub-components of the operational strategy. The final training model was applied to the online vocational training platform (STEP) and a plan was proposed to establish a personalized training model to foster an AI integrated competent individual.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.384-396
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• 2017

The purpose of this study is to design career learning program content and to suggest a development plan in order to assist in freshmen's successful adaptation. To accomplish this goal, first, we reviewed the precedent studies on the situations and problems of freshmen and education programs for freshmen. H. university freshmen's needs for support programs were analyzed. Second, a career learning program conceptual model was developed based on the results of precedent studies and program needs analysis. Third, the program contents for enhancing career learning competency were designed, and we suggested a development plan focusing on customized content, emotional support, and on-off line convergence program. It developed career learning tracks, big data analysis, and action planning as main content. The results of this study are expected to be used as basic data for the development and implementation of competency-based customized career learning programs for freshmen, which will help improve the quality of career learning programs and freshmen's adaptability.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.167-174
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• 2013

The objectives of this study are to investigate core learning ability necessary for the 21st century and to develop core human resources required for social and national development in the future. The '21st Century Learning Ability Project' is to approach the existing knowledge and learning multidisciplinary and interactively based on the learning ability of each learner and individually and socially valuable themes. Even in Korea, a variety of intersubject integrative educational curriculum was attempted to cultivate learning ability. However, there are not enough teachers who can teach the differences between the content and characteristics for each subject by fully understanding them. Thus, it is difficult to apply them easily to the field of education. Thus, this study develops the multidisciplinary customized educational curriculum in order to develop the learning ability necessary for the 21st century, analyzes the reality of the educational curriculum integrating the academic knowledge in order to support this effectively. As a result, this study offers the interdisciplinary customized integrated model applicable to elementary and middle schools.

• 프린팅코리아
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• s.19
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• pp.102-105
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• 2004

최첨단 정밀기기를 운용하고 있는 인쇄업계는 끝없는 발전과 함께 새로운 아이디어의 접목으로 계속 진화하고 있다. 특히 근래에는 디지털인쇄기의 급속한 발전이 인쇄영역을 넓혀가고 있으며 이제는 오프셋인쇄와 짝을 이뤄 새로운 시장을 개척해 나가고 있어 본지에 소개한다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.513-520
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• 2021

Recently, research on edutech, which combines education and technology in the e-learning field called learning, education and training, has been actively conducted, but it is still insufficient to collect and utilize data tailored to individual learners based on learning activity data that can be automatically collected from digital devices. Therefore, this study attempts to detect questions in textbooks or problem papers using artificial intelligence computer vision technology that plays the same role as human eyes. The textbook or questionnaire item detection model proposed in this study can help collect, store, and analyze offline learning activity data in connection with intelligent education services without digital conversion of textbooks or questionnaires to help learners provide personalized learning services even in offline learning.

• Journal of Dental Rehabilitation and Applied Science
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• v.33 no.2
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• pp.88-96
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• 2017

Purpose: The purpose of this study is to assess the relationship between the time spent designing custom abutments and repeated learning using dental implant computer aided design (CAD) software. Materials and Methods: The design of customized abutments was performed four stages using the 3DS CAD software and the EXO CAD software, and measured repeatedly three times by each stage. Learning effect by repetition was presented with the learning curve, and the significance of the reduction in the total time and the time at each stage spent on designing was evaluated using the Friedman test and the Wilcoxon signed rank test. The difference in the design time between groups was analyzed using the repeated measure two-way ANOVA. Statistical analysis was performed using the SPSS statistics software (P < 0.05). Results: Repeated learning of the customized abutment design displayed a significant difference according to the number of repetition and the stage (P < 0.001). The difference in the time spent designing was found to be significant (P < 0.001), and that between the CAD software programs was also significant (P = 0.006). Conclusion: Repeated learning of CAD software shortened the time spent designing. While less design time on average was spent with the 3DS CAD than with the EXO CAD, the EXO CAD showed better results in terms of learning rate according to learning effect.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.45-50
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• 2017

One of the main reasons of information divide of multi-cultural family is caused by language barrier that is associated with low education level. In addition the social problem can be triggered by the information divide that may increase the gap of economic inequality. With respect to the overall capability of accessibility of digital devices and the level of data utilization, the parent of muiti-cultural family's level is inferior to that of the parents of an ordinary family. However the traditional learning contents management system for those parents is not appropriate to decease the gap of the information divide. To handle this problem, it is necessary to construct a customized learning contents management system that is used to support the education of the parents of multi-cultural family depending on the level of understanding the learning contents written in korean. In this paper we design the korean to korean translation based learning contents management system and show the result of its prototype.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.21-28
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• 2018

To help users who are experiencing difficulties finding the right learning course corresponding to their level of proficiency, we developed a recommendation model for personalized learning course for Intelligence Tutoring System(ITS). The Personalized Learning Course Recommendation model for ITS analyzes the learner profile and extracts the keyword by calculating the weight of each word. The similarity of vector between extracted words is measured through the cosine similarity method. Finally, the three courses of top similarity are recommended for learners. To analyze the effects of the recommendation model, we applied the recommendation model to the Women's ability development center. And mean, standard deviation, skewness, and kurtosis values of question items were calculated through the satisfaction survey. The results of the experiment showed high satisfaction levels in accuracy, novelty, self-reference and usefulness, which proved the effectiveness of the recommendation model. This study is meaningful in the sense that it suggested a learner-centered recommendation system based on machine learning, which has not been researched enough both in domestic, foreign domains.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.197-206
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• 2012

The objectives of this study are to investigate core learning ability necessary for the 21st century and to develop core human resources required for social and national development in the future. The '21st Century Learning Ability Project' is to approach the existing knowledge and learning multidisciplinary and interactively based on the learning ability of each learner and individually and socially valuable themes. Even in Korea, a variety of intersubject integrative educational curriculum was attempted to cultivate learning ability. However, there are not enough teachers who can teach the differences between the content and characteristics for each subject by fully understanding them. Thus, it is difficult to apply them easily to the field of education. Thus, this study develops the multidisciplinary customized educational curriculum in order to develop the learning ability necessary for the 21st century, analyzes the reality of the educational curriculum integrating the academic knowledge in order to support this effectively. As a result, this study offers the interdisciplinary customized integrated model applicable to elementary and middle schools.