• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.51-60
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• 2021

Due to the growth of digital media technology, there is increasing demand of personalized education based on context data of learners throughout overall education area. For music education, several studies have been conducted for providing appropriate educational contents to learners by considering some factors such as the proficiency, the amount of practice, and their capability. In this paper, a technique has been defined to recommend the appropriate music scores to learners by extracting and analyzing the practice data and chord data. Concretely, several meaningful relationships among chords patterns and learners were analyzed and visualized by constructing the learners' profiles of proficiency, extracting the chord sequences from music scores. In addition, we showed the potential for use in personalized education by analyzing music similarity, learner's proficiency similarity, learner's proficiency of music and chord, mastered chords and chords sequence patterns. After that, the chord practice programs can be effectively generated considering various music scores using the synthetically summarized chord sequence graphs for the music scores that the learners selected.

• Education of Primary School Mathematics
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• v.27 no.3
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• pp.303-320
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• 2024

This study presents the development and performance evaluation of a custom GPT-based chatbot tailored to provide solutions following Polya's problem-solving stages. A beta version of the chatbot was initially deployed to assess its mathematical capabilities, followed by iterative error identification and correction, leading to the final version. The completed chatbot demonstrated an accuracy rate of approximately 89.0%, correctly solving an average of 57.8 out of 65 image-based problems from a 6th-grade elementary mathematics textbook, reflecting a 4 percentage point improvement over the beta version. For a subset of 50 problems, where images were not critical for problem resolution, the chatbot achieved an accuracy rate of approximately 91.0%, solving an average of 45.5 problems correctly. Predominant errors included problem recognition issues, particularly with complex or poorly recognizable images, along with concept confusion and comprehension errors. The custom chatbot exhibited superior mathematical performance compared to the general-purpose ChatGPT. Additionally, its solution process can be adapted to various grade levels, facilitating personalized student instruction. The ease of chatbot creation and customization underscores its potential for diverse applications in mathematics education, such as individualized teacher support and personalized student guidance.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.87-96
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• 2016

This study was carried out to investigate the effects of contents for the serious game development of the customized diet education in Type II Diabetes. Because the development of the existing serious game focuses on Type I Diabetes, this study was designed to carry out customized education through the interaction between Type II Diabetes and health manager. The period of data collection was from July 11 to December 26 in Y2015, the subjects were selected from a total of 26 people suitable for Type II diabetes who visited the public health center to apply for a diabetic diet education and completed the 8 continued education. After receiving customized diet prototype education, the self-care behaviors and HbA1C of the subjects were statistically significantly increased(p<.05)

• Journal of Korea Game Society
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• v.10 no.2
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• pp.89-97
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• 2010

Still there is a quality mismatch between required manpower of game companies and supplied one from universities in Korean game industry. The demand-oriented workforce training project is being implemented by KOCCA(Korea Creative Content Agency) for reducing the gap. This paper is focused on the development of training course for students of the game programming department in K University. This paper derived a education training course customized to online game industry by surveying 35 companies to find their needs for recruiting. Additionally some advice is suggested for successful education training. This paper not only will contribute to verify the required competence of people force in game industry but also offer a guideline for designing curriculum for game programmer.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.51-70
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• 2022

This study examined whether learner-customized start-up education, such as business consulting, functions effectively as part of universities' start-up support and whether business consulting positively strengthened start-up capabilities compared to consulting from other institutions. Furthermore, it explored the direction of universities' start-up support development by harnessing customized education, such as business consulting. The results of the study are as follows. First, business consulting had a positive impact. It informed the shortcomings of individual founders (teams) and identified the direction for improvement. Second, compared to consulting from other institutions, the fact that it formed a relationship between the consultant and the student beyond the business relationship and that it was conducted for free on campus have a relative advantage. Such business consulting enabled university students to see the world more maturely. Third, this study argues that customized start-up businesses can generate synergy with school curriculum and other non-curricular subjects. Based on this perception, it designed a method to build a co-curriculum education system. This study is significant because it investigated satisfaction and the possibility of a customized start-up business with business consulting as a representative case, exploring the direction of support for start-up education students want.

• Proceedings of The KACE
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• 2017.08a
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• pp.221-224
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• 2017

본 논문은 사용자 수준에 적합한 맞춤형 학습코스를 추천하여 학습효과를 향상시킬 수 있는 추천모델을 개발하고, 효과분석을 위한 방안을 제시한다. 학습자 개개인의 학습수준이나 학습내용 등에 따라 적합한 학습주제를 선정하여 제공하는 것은 중요하나, 일반적인 추천은 전문가 그룹을 활용한 사람중심의 추천으로 시간이 오래 걸리는 등 자원의 비효율적 한계점[1]을 가지고 있다. 이를 극복하기 위해, TF-IDF를 이용해 단어별 가중치를 계산하여 고빈도 단어를 추출하여 벡터 공간에 배치시키고, Cosine Similarity 기법을 이용해 벡터간의 유사도를 측정하였다. 학습자 프로파일을 분석하고, 학습스킬간의 연관성을 고려하여 맞춤형 학습코스를 추천하기 위해, 워드 임베딩 기법을 적용하였고, 이를 위해 오픈소스 Gensim[2]을 이용하였다. 맞춤형 학습코스 추천 모델의 효과를 분석하기 위한 실험을 설계하고 평가 문항지를 개발하였다.

• Ingenium
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• v.17 no.1
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• pp.34-35
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• 2010

• Ingenium
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• v.31 no.1
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• pp.20-25
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• 2024

• Journal of Engineering Education Research
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• v.10 no.1
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• pp.20-33
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• 2007

This paper is on the analysis of the survey results for the recognition of the practical engineering education among the engineering educators and educatees including alumni. After performing the survey, we classify 4 forms of practical engineering education, company-oriented, major-field-oriented, basic-engineering-knowledge-oriented and others. Also we survey what are necessary for the students to get employed. The survey results indicate that the respondents understand the practical engineering education as company-oriented and many of them also recognized basic-engineering-oriented engineering education. For the employment, the professors and the alumni focus on the personal character but the students feel that major field knowledge and the English ability are vital to the employment tests. Concerning the opinion for the students on the shortage of ability as an engineer, the professors respond the major field knowledge while the students and the alumni answer the English ability. This research produces some interesting results on the direction of practical engineering education, but needs more detailed and extended survey and analysis.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.179-184
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• 2013

대학도서관 맞춤교육은 이용자의 자발적인 요청으로 사서가 이용자의 요구사항과 주제 분야, 전공 등을 고려하여 맞춤형으로 교육을 설계 제공하는 것이다. 맞춤교육은 이용자가 필요한 시점에 필요한 내용을 제공한다는 강점을 가진다. 본 연구에서는 맞춤교육의 국내 대학도서관 운영현황을 파악하고, 맞춤교육의 필요조건 및 장애요인을 파악하고자 하는 목적으로 대학도서관의 맞춤교육담당자를 심층 면접하였다. 연구결과, 맞춤교육의 필요조건으로 사서 인력의 자격 및 자질과 교육 환경적 측면이 중요한 것으로 밝혀졌다. 한편 앞에서 파악된 필요조건이 결여되거나 교과운영과정에서 발생하는 문제점들이 주요 장애요인으로 파악되었다.