• Title/Summary/Keyword: 맞춤형 학습 지도

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An Exploratory Study on the Design Principles of Adaptive Micro-learning Platform (적응형 마이크로러닝 플랫폼 개발원칙에 대한 탐색연구)

  • Jeong, Eun Young;Kang, Inae;Choi, Jung-A
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.517-535
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    • 2021
  • The development of digital technology has not only brought many changes to our lives, but also many changes to the online education environment. The emergence of micro-learning is to meet the needs of individual learners who hopes to receive personalized learning content immediately when they need it. Therefore, Micro-learning can be said to be 'adaptive' education. This research attempts to explore the development principles of adaptive micro-learning through literature research and case analysis. The results of the research draw four aspects of the development principles, including adaptive learning environment, adaptive learning content, adaptive learning sequence and adaptive learning evaluation, as well as detailed elements of each aspect. Micro-learning is a new form of e-learning that reflects the needs of the current society. As exploratory research, this research attempts to point out the direction for future follow-up research.

Development and Intervention Effect of Customized Instructional Program for Underachievers in Middle School Science (중학교 과학학습 부진 유형별 맞춤형 프로그램의 개발 및 적용 효과)

  • Lee, Kyung-Hee;Han, Mi-Jung;Kim, Min-Jeong;Choi, Byung-Soon
    • 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.

Establishment Plan on Personalized Training Model for Fostering AI Integrated Human Resource: Focusing on the Ministry of Employment and Labor's STEP as a Public Education and Training Platform (AI 융합형 인재양성을 위한 학습자 맞춤형 훈련프로그램 모델 수립 방안: 고용노동부의 STEP을 중심으로)

  • Rim, Kyung-Hwa;Shin, Jung-min;Lee, Doo-wan
    • 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.

A Study on Design and Development Plan of Program Content for Enhancing the Career·Learning Competency of University Freshmen -Focusing on H university case- (대학신입생의 진로·학습 역량 강화 프로그램 콘텐츠 설계 및 개발 방안 연구 - H대학의 사례를 중심으로-)

  • Kim, Kyung-Hwa;Kim, Jin-Sook
    • 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.

Design and Development of Convergence Education Programs for Expansion of Learning Ability in the 21st Century (21세기 학습 능력 신장을 위한 융합교육 프로그램 설계 및 개발)

  • Jeong, Jae-Hoon;Lee, Tae-Wuk
    • 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.

분석-맞춤형 학습지

  • Yun, Jae-Ho
    • 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.

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A Study on the Deep Learning-Based Textbook Questionnaires Detection Experiment (딥러닝 기반 교재 문항 검출 실험 연구)

  • Kim, Tae Jong;Han, Tae In;Park, Ji Su
    • 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.

Effect of repeated learning for two dental CAD software programs (두 종의 치과용 캐드 소프트웨어에 대한 반복학습의 효과)

  • Son, KeunBaDa;Lee, Wan-Sun;Lee, Kyu-Bok
    • 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.

Korean to Korean Translation Based Learning Contents Management System for Parents of Multi-Cultural Family (다문화 가정 학부모를 위한 한한변환 기반 학습콘텐츠 관리 시스템)

  • Kang, Yunhee;Kang, Myungju
    • 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.

A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners' Error Codes on Online Judge Platforms

  • Juyeon Lee;Seung-Hyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.191-200
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    • 2024
  • The rapid advancement of computer technology and artificial intelligence has significantly impacted software education in Korea. Consequently, the 2022 revised curriculum demands personalized education. However, implementing personalized education in schools is challenging. This study aims to facilitate personalized education by utilizing incorrect codes and error information submitted by beginners to construct prompts. And the difference in the frequency of correct feedback generated by the generative AI model and the prompts was examined. The results indicated that providing appropriate error information in the prompts yields better performance than relying solely on the excellence of the generative AI model itself. Through this research, we hope to establish a foundation for the realization of personalized education in programming education in Korea.