• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.31-38
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• 2023

In this paper, a basic machine learning model learning and utilization education curriculum for non-majors is proposed, and an education method using Orange machine learning model learning and analysis tools is proposed. Orange is an open-source machine learning and data visualization tool that can create machine learning models by learning data using visual widgets without complex programming. Orange is a platform that is widely used by non-major undergraduates to expert groups. In this paper, a basic machine learning model learning and utilization education curriculum and weekly practice contents for one semester are proposed. In addition, in order to demonstrate the reality of practice contents for machine learning model learning and utilization, we used the Orange tool to learn machine learning models from categorical data samples and numerical data samples, and utilized the models. Thus, use cases for predicting the outcome of the population were proposed. Finally, the educational satisfaction of this curriculum is surveyed and analyzed for non-majors.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.43-54
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• 2024

Recently, there has been a lot of research on utilizing Language Models, and Large Language Models have achieved innovative results in various tasks. However, the practical application faces limitations due to the constrained resources and costs required to utilize Large Language Models. Consequently, there has been recent attention towards methods to effectively utilize models within given resources. Curriculum Learning, a methodology that categorizes training data according to difficulty and learns sequentially, has been attracting attention, but it has the limitation that the method of measuring difficulty is complex or not universal. Therefore, in this study, we propose a methodology based on data heterogeneity-based Curriculum Learning that measures the difficulty of data using reliable prior information and facilitates easy utilization across various tasks. To evaluate the performance of the proposed methodology, experiments were conducted using 5,000 specialized documents in the field of information communication technology and 4,917 documents in the field of healthcare. The results confirm that the proposed methodology outperforms traditional fine-tuning in terms of classification accuracy in both LoRA fine-tuning and full fine-tuning.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.17-23
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• 2020

This study developed augmented reality contents for assembly of automobile engine parts for blended learning and confirmed the usefulness of educational effects through questionnaire.The curriculum for automobile engine assembly was designed and the shape, location, and assembly order of parts to be assembled according to each curriculum were developed as augmented reality contents. The AR simulations are combined with learner-centered collaborative activities so that students are actively involved in knowledge acquisition. The teachers' role, therefore, shifts. Rather than delivering direct instruction, they take on the role of facilitator, allowing them to personalize learning according to student performance, learning preferences and learning goals. As the responsibility of knowledge acquisition shifts to the students, higher level skills such as complex problem solving, social skills, process skills, systems skills and cognitive abilities are deepened and reinforced.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.53-61
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• 2016

This study aims to examine English learning beliefs of Korean college students enrolled in e-learning courses and to investigate the relationship between their beliefs and L2 achievement. Horwitz's Beliefs about Language Learning Inventory was used to elicit students' beliefs about English learning and their grades in a final exam were employed for the English achievement measure. The data from one hundred sixteen respondents were analyzed through a factor analysis and the analysis revealed 5 factors: Motivation, learning strategies, English aptitude, foreign language aptitude, and communication strategies. The results showed that the most of the e-learning students had a high level of motivation and expectation in learning English but they believed that they had a low language aptitude. Statistically significant correlation was found between students' beliefs in motivation and their L2 attainment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.29-30
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• 2022

Curriculum learning은 딥러닝의 성능을 향상시키기 위해 사람의 학습 과정과 유사하게 일종의 'curriculum'을 도입해 모델을 학습시키는 방법이다. 대부분의 연구는 학습 데이터 중 개별 샘플의 난이도를 기반으로 점진적으로 모델을 학습시키는 방안에 중점을 두고 있다. 그러나, coarse-to-fine 메카니즘은 데이터의 난이도보다 학습에 사용되는 class의 유사도가 더욱 중요하다고 주장하며, 여러 난이도의 auxiliary task를 차례로 학습하는 방법을 제안했다. 그러나, 이 방법은 혼동행렬 기반으로 class의 유사성을 판단해 auxiliary task를 생성함으로 다중 레이블 분류에는 적용하기 어렵다는 한계점이 있다. 따라서, 본 논문에서는 multi-label 환경에서 multi-class와 binary task를 생성하는 방법을 제안해 coarse-to-fine 메카니즘 적용을 위한 방안을 제시하고, 그 결과를 분석한다.

• Proceedings of the KAIS Fall Conference
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• 2010.11a
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• pp.7-11
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• 2010

우리나라는 2009년 OECD DAC 회원국으로 가입하면서 6.25전쟁직후 세계 최빈국으로써 원조를 받는 국가에서 60년만에 국제사회에 원조를 제공하는 공여국으로 성장한 국제사회의 유일무이한 사례이다. 우리 나라의 ODA(Official Development Assistance)는 ICT, 교육 분야 등과 같이 우리나라가 세계적으로 경쟁력을 가지고 있는 분야를 특성화하여 제공하고 있다. 모로코는 2012년까지 9,000여개의 모로코 초중등학교에 ICT를 보급한다는 계획과 ICT 산업 육성을 국가 주요 정책으로 추진하고 있는 있어 금번 프로젝트는 모로코 교사의 ICT 역량 강화를 지원하기 위하여 한국의 ICT 교육시스템을 모로코 초중등 교사에게 제공하는 것이다. 본 프로젝트는 교육쎈터 리모델링, ICT 기자재설치, 교사 커리큘럼 개발, 홈페이지 개발, 정책보고서 발간, 모로코 교사 초청 연수로 구분되어 있으며, 2009년 1월에 시작되어 2010년 11월에 완료된다. 본 프로젝트를 통해 모로코 초중등 교사 23만명중 년간 1,000명을 교육하고, 교육을 받은 교사는 소속지역에서 ICT Master Teacher 역할을 담당하게 된다. 본 프로젝트를 통하여 우리나라는 모로코 교육 선진화에 기여하며, 한국 ICT 기자재를 활용함으로써 한국산 H/W, SW 및 교육컨텐츠의 우수성을 모로코와 인근 국가에 홍보하고, 이를 통해 국내 기업의 북아프리카 진출을 간접 지원하였다. 또한, 본 프로젝트를 통하여 모로코를 비롯하여 2000년도부터 년평균 5.3%의 경제성장을 지속하고 있는 아프리카지역에 한국 ICT제품이 진출할 수 있는 방안으로, 국산 e-러닝 개발툴을 영어, 불어와 아랍어 버젼으로 추가 개발하였으며, 모로코 대학과 합작기업을 설립을 추진하고 있다.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.285-293
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• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.885-896
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• 2022

Motor failure in manufacturing plays an important role in future A/S and reliability. Motor failure is detected by measuring sound, current, and vibration. For the data used in this paper, the sound of the car's side mirror motor gear box was used. Motor sound consists of three classes. Sound data is input to the network model through a conversion process through MelSpectrogram. In this paper, various methods were applied, such as data augmentation to improve the performance of classifying fault motors and various methods according to class imbalance were applied resampling, reweighting adjustment, change of loss function and representation learning and classification into two stages. In addition, the curriculum learning method and self-space learning method were compared through a total of five network models such as Bidirectional LSTM Attention, Convolutional Recurrent Neural Network, Multi-Head Attention, Bidirectional Temporal Convolution Network, and Convolution Neural Network, and the optimal configuration was found for motor sound classification.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.379-408
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• 2023

This case study reports on the redevelopment of a course, Local Culture Information Theory offered by the Department of Library and Information Science at C University, into a capstone design course using a project-based learning approach. In collaboration with a local community youth organization, the redesigned course provided an opportunity for LIS students to develop and implement a digital literacy program that enabled high school students to use a variety of digital multimedia technologies to complete a project of digital Human Library featuring video, audio, and digital are such as webtoons. Through semi-structured interviews with 5 students and 3 staff from partner organizations, this study reports on course development process, the establishment of local partnerships, project outcome, as well as suggestions for improvements. In addition, a qualitative analysis of the participating students' interview responses using the Framework for 21st Century Learning (P21) found they developed and improved 11 skills across three core areas: life and career skills including self-direction, project management, collaboration with diverse teams, flexibility, responsibility, leadership; learning and innovation skills including communication and collaboration, problem-solving, creativity, and critical thinking; and information, media, and technology skills through media creation. Lessons learned and recommendations from this case study may be useful for other LIS programs and faculty interested in implementing project-based learning or developing capstone design courses.