• The Mathematical Education
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• v.63 no.3
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• pp.573-591
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• 2024

The purpose of this study is to explore research trends on AI-based mathematics teaching and learning. For this purpose, a systematic literature review was conducted on 57 literatures in terms of research subject, research method, research purpose, learning content, type of AI, role of AI, and role of teachers. The results indicate that student accounted for the largest proportion at 51% among the research subjects, and quantitative research was the highest at 49% among the research methods. The purpose of study was distributed as follows: effect analysis 44%, theoretical discussion 35%, case study 21%. 'Numbers and Operations' and 'Variables and Expressions' covered learning contents most, and Intelligent Tutoring System (ITS) was used the most among the types of AI. 'Student teaching' was the largest parts of role of AI at 40.4%, followed by 'teacher support' at 22.8%, 'student support' at 21%, and 'system support' at 15.8%. The role of teachers as 'AI recipients' was highlighted in earlier studies, and the role of teachers as 'constructive partner with AI' was highlighted in more recent studies. Also, role of teachers was explored in pedagogical, AI-technological, content aspects. Through this, follow-up research was suggested and the roles that teachers should have in AI-based mathematics teaching and learning were discussed.

• Journal of Creative Information Culture
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• v.7 no.1
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• pp.1-9
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• 2021

Subjects for the study are educationally alienated class living in poor educational environment. Those students often live outside the reach of software education which is one of key capabilities of Fourth Industrial Revolution. The gap between student in rural and urban areas is becoming more distinct and schoolchildren in rural areas are further limited to access software development education under COVID-19 where face-to-face classes are more rarely conducted. To overcome the issue, AI based thinking skills coding educational program was developed and tested on children in 6 primary schools in south and north of Gyunggi-do, South Korea. Questionnaire were conducted before and after classes to research on students'awareness on AI thinking skills coding. At the end of the study, subjects showed statistically significant increase in confidence, interest, and attitude, and showed positive overall feedback on software development tendency after the program is conducted.

• Nutritional Sciences
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• v.7 no.4
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• pp.241-246
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• 2004

This study investigated the influence of weight perception on weight management strategies including diet and exercise in Korean female adolescents. Junior (J) and senior (S) high school girls were divided in two groups; those who had $\leq$100% (BI) and > 100% (AI) of ideal weight (J-BI, n=376, 14.8 yr, 46.1 kg; J-AI, 11=128, 15.0 yr, 57.4 kg; S-BI, n=325, 17.4 yr, 50.1 kg; and S-AI, n=133, 17.5 yr, 58.2 kg, mean values). Questionnaires to assess weight perception, desire to lose weight, body image, eating behavior, weight control strategies and physical activity (PPA) were administered J-AI(9.4 kg) and S-AI(9.8 kg) desired to lose weight more than J-BI(2.5 kg) and S-BI(3.6 kg), respectively (p < 0.001). 85% of J-AI and 93% of S-AI perceived their weight being above average and 23% of J-BI and 34% of S-BI responded similarly (p < 0.001). Body dissatisfaction index (BDI) and eating attitude (EAT26) scores were lower in J-BI(9.7, 12.0) vs. J-AI(16.4, 14.7) and S-BI(12.4, 12.4) vs. S-AI(19.5, 15.4) (p < 0.001). However, PPA was not different for J-BI vs. J-AI, and S-BI vs. S-AL Only 17, 18, 9, and 15% of J.BI, J.AI, S-BI, and S-AI, respectively, exercised regularly. PPA and BDI were only slightly correlated in J-BI(r=0.194, p < 0.005) and S-BI(r=0.220, p < 0.005). Even that the majority of Korean female adolescents perceived they were heavy and desired to lose weight, appropriate exercise and physical activities were not practiced.

• Journal of Christian Education in Korea
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• v.66
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• pp.11-48
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• 2021

This paper is a thesis that explored the necessity and possibility of spiritual teaching that forms the inner side of human beings in the age of AI where objective knowledge is prevalent, focusing on "contemplative pedagogy". For this it first examined the characteristics of objective epistemology of AI and the direction of school education in the AI and explored the necessity and character of spirituality and spiritual teaching as a request for the AI era, and also explores the possibility of realization of spiritual teaching in general school setting through contemplative pedagogy, which actually puts this into practice. As a result of the study, it found that spiritual teaching is not exclusive to a specific area such as religious studies or theology, but is a teaching that should be embodied in all schools and educational fields in today's era where third person knowledge is widespread. It also found that in addition to contemplative teaching, various spiritual teaching models need to be developed and put into practice for this purpose.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.645-650
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• 2024

This paper jointly designed and developed a liberal arts curriculum at two local universities for college liberal arts education using generative AI centered on ChatGPT. The developed curriculum takes into account the conceptual components for designing classes for integrated use of university ChatGPT presented in existing research, understands the language model and artificial intelligence that form the basis of ChatGPT, and applies generative AI including ChatGPT to various domains. It was developed with useful content. The developed curriculum introduces the concept and changing aspects of artificial intelligence and the natural language processing language model that is the basis of ChatGPT for students in various majors, and generates ChatGPT, a generative AI and large language model (LLM), and various open sources. The purpose was to implement my own AI service using the model and present an example of mutual collaboration between universities in Joint Education Curriculum Operation.

• Annual Conference of KIPS
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• 2022.11a
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• pp.119-121
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• 2022

인공지능 기술이 사회 많은 분야에서 활용되고 있으며 인공지능 기술을 도입하여 더 나은 서비스를 제공하려고 하고 있다. 교육 현장에서 교사는 인공지능 기술과 활용 및 가치에 대해 연구하고 학생에게 관련된 교육을 제공해야 한다. 본 연구에서는 중학생을 대상으로 AI 교육 콘텐츠를 개발하였다. 3차시에 걸친 내용을 통해 AI에 대한 흥미를 갖고 간단한 프로그램을 직접 만들어보며, AI에 대한 이해와 관심을 높일 수 있을 거라 기대한다.

• Communications of Mathematical Education
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• v.37 no.2
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• pp.159-181
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• 2023

The purpose of this study is to explore secondary mathematics teachers' perceptions on Artificial Intelligence (AI). For this purpose, we conducted three focus group interviews with 18 secondary in-service mathematics teachers and analyzed their perceptions on AI for math and math for AI. The secondary in-service mathematics teachers perceive that AI allows to implement different types of mathematics instruction but has limitations in exploring students' mathematical thinking and having emotional interactions with students. They also perceive that AI makes it easy to develop assessment items for teachers but teachers' interventions are needed for grading essay-type assessment items. Lastly, the secondary in-service mathematics teachers agree the rationale of adopting the subject ＜Artificial Intelligence Mathematics＞ and its needs for students, but they perceive that they are not well prepared yet to teach the subject and do not have sufficient resources for teaching the subject and assessing students' understanding about the subject. The findings provide implications and insights for developing individualized AI learning tools for students in the secondary level, providing AI assessment tools for teachers, and offering professional development programs for teachers to increase their understanding about the subject.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1618-1624
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• 2018

The undergraduate structure based on flipped learning should be a necessary course to cultivate value creation capability based on students' problem solving capability through the change of university education in the fourth industrial revolution era. Flipped learning stimulated the learner's high order thinking and activates communication between the faculty-student and the students through the use of activity oriented teaching strategy. Introduction and spread of Flipping Learning combining project-based learning with MOOC is required. The professor should be able to apply net teaching and learning methods using flipping learning and active learning, and develop class contents reflecting new knowledge, information and technology. As the introduction and spread of AI-based(E-Advisor, chat bot et al) learning consulting, Which is becoming increasingly advanced, the transition to "personalized education" that meets the 4th Industrial Revolution should be made.

• Fourth Industrial Review
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• v.3 no.1
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• pp.1-12
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• 2023

Purpose - In Korea, where 64% of the land is forested, mountaineering is a leisure activity enjoyed by the majority of the people. As new technologies named the 4th industrial revolution spread more after the Covid-19 pandemic, we propose a human and technology convergence curriculum for mountaineering and trekking education to enjoy safety in the field of mountaineering and trekking using cutting-edge technology. Research design, data, and methodology - After examining the current state of the mountaineering industry and preceding studies on mountaineering and camping, and learning about BAC the 100 famous mountains, mountaineering gamification, and Gamification We designed an AI convergence curriculum using. Result - Understanding the topography and characteristics of mountains in Korea, acquiring mountaineering information through AI convergence, selecting mountaineering equipment suitable for the season, terrain, and weather, setting educational goals to safely climb, and deriving term project results. A total of 15 A curricula for teaching was proposed. Conclusion - Artificial intelligence technology is applied to the field of mountaineering and trekking and used as a tool, and it is expected that the base of mountaineering will be expanded through safe, efficient, fun, and sustainable education. Through this study, it is expected that the AI convergence education curriculum for mountaineering and trekking will be developed and advanced through several studies.

• Communications of Mathematical Education
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• v.38 no.1
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• pp.49-67
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• 2024

Recent interest in the diverse applications of artificial intelligence (AI) language models has highlighted the need to explore didactical uses in mathematics education. AI language models, capable of natural language processing, show promise in solving mathematical word problems. This study tested the capability of ChatGPT, an AI language model, to solve word problems from elementary school textbooks, and analyzed both the solutions and errors made. The results showed that the AI language model achieved an accuracy rate of 81.08%, with errors in problem comprehension, equation formulation, and calculation. Based on this analysis of solution processes and error types, the study suggests implications for the didactical application of AI language models in education.