• The Science & Technology
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• no.9 s.448
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• pp.14-15
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• 2006

• Nuclear industry
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• v.36 no.7
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• pp.26-31
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• 2016

• Ingenium
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• v.23 no.3
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• pp.20-27
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• 2016

• Food Industry
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• s.206
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• pp.66-78
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• 2008

• The Science & Technology
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• no.1 s.440
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• pp.83-83
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• 2006

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

• The Mathematical Education
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• v.63 no.2
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• pp.123-138
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• 2024

This study described the utilization of ChatGPT in teaching and students' learning processes for the course "Introductory Mathematics for Artificial Intelligence (Math4AI)" at 'S' University. We developed a customized ChatGPT and presented a learning model in which students supplement their knowledge of the topic at hand by utilizing this model. More specifically, first, students learn the concepts and questions of the course textbook by themselves. Then, for any question they are unsure of, students may submit any questions (keywords or open problem numbers from the textbook) to our own ChatGPT at https://math4ai.solgitmath.com/ to get help. Notably, we optimized ChatGPT and minimized inaccurate information by fully utilizing various types of data related to the subject, such as textbooks, labs, discussion records, and codes at http://matrix.skku.ac.kr/Math4AI-ChatGPT/. In this model, when students have questions while studying the textbook by themselves, they can ask mathematical concepts, keywords, theorems, examples, and problems in natural language through the ChatGPT interface. Our customized ChatGPT then provides the relevant terms, concepts, and sample answers based on previous students' discussions and/or samples of Python or R code that have been used in the discussion. Furthermore, by providing students with real-time, optimized advice based on their level, we can provide personalized education not only for the Math4AI course, but also for any other courses in college math education. The present study, which incorporates our ChatGPT model into the teaching and learning process in the course, shows promising applicability of AI technology to other college math courses (for instance, calculus, linear algebra, discrete mathematics, engineering mathematics, and basic statistics) and in K-12 math education as well as the Lifespan Learning and Continuing Education.

• Asia-Pacific Journal of Business
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• v.2 no.2
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• pp.79-100
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• 2011

Trade and industry demand for workforce training in order to meet the established educational system and universities must be sustained efforts of the members. Analysis of the needs of member universities and industry, which is based on the establishment of an educational process more active through university courses should be operated.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.333-337
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• 2020

현재 많은 교육기관에서 활용되고 있는 교수학습지원시스템의 기능 부족과 교육환경에 부합하지 못해 낮은 이용성을 보이는 부분을 보완하여 일반적인 강의 형태를 일반형, 참여형, 실습형 등으로 세분화하여 수업의 형태에 필요한 기능을 개발하여 정적인 수업의 형태에서 교육자와 학생들 사이에 소통할 수 있는 환경을 구성하였고, 더 나아가 PC, 스마트폰, 태블릿 등 다양한 기기에서 접근 및 사용을 할 수 있는 웹을 기반으로 서비스를 제작하여 공간에 제약 없이 교육자와 학생의 효과적인 교육환경을 제공한다. 개발 과정에서 다양한 스타트업에서 이용되는 Django와 많은 사용자가 확보된 Javascript을 이용해 개발 기간 단축하였다. 또한 웹소켓(Websocket)을 이용해 최소한의 데이터 통신으로 빠른 실시간 통신을 구현하였고, 다양한 브라우저에 대응할 수 있도록 웹 표준을 준수하였다. 서버의 경우에는 아마존 웹 서비스(AWS)를 활용하였고, Linux 환경에서 동작 컨테이너화를 통해 보안성을 확보하였다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.393-394
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• 2014

'인재가 미래다'라는 모토로 기업에서도 글로벌 우수인재 확보와 미래 성장산업에 요구되는 인재 확보를 위해 단순히 스펙 쌓기에 충실했던 지원자보다는 실제 업무에서 자신만의 열정과 창의성을 유감없이 발휘할 인재들을 채용하는 데 주력함으로써 채용 문화를 크게 개선하고 있다. 기업들이 원하는 인재상이 통섭, 상상력, 스토리, 모험심 등으로 다양화하고 있으며, 그들의 가치관, 인생관, 소통방식을 평가한다는 것이다. 본 논문은 국내 30여 기업들의 인재육성 프로그램을 분석하여 산업현장의 요구에 맞춰 교육하고, 배출된 인력은 입사 후 바로 현업에서 일할 수 있는 기업맞춤형 대학 교육프로그램과 향후 대학교육의 방향에 대하여 제시하고자 한다.