• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.397-406
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• 2022

In this study, We confirmed the three major policy directions presented in "Educational Policy Direction and Core Tasks in the Age of Artificial Intelligence" announced by the government in 2020, and analyzed how the direction and key tasks are reflected in the policy from keywords selected from government policy data related to artificial intelligence education published between '20 and '22. It was extracted and analyzed how the direction and key tasks are reflected in the policy. As a result of text mining and the topic analysis, the direction of education set was analyzed and various types of activities for nurturing talents in the field of artificial intelligence were confirmed. Ultimately, the government's policy direction is to apply the '25 revised curriculum in earnest, while advancing and activating the AI education policy and allowing it to settle naturally in the field. It could be predicted that related policies and tasks would appear more and more.

• The Mathematical Education
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• v.63 no.2
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• pp.369-385
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• 2024

With the advancement of digital technology, a variety of digital materials are being utilized in education. For their appropriate use of digital resources, teachers need to be able to evaluate the quality of digital resource and determine the suitability for teaching. This study explored how preservice teachers evaluate TocToc-Math, an Artificial Intelligence (AI)-based math support system. Based on an evaluation framework developed through prior research, preservice teachers evaluated TocToc-Math with evidence-based criteria, including content quality, pedagogy, technology use, and mathematics curriculum alignment. The findings shows that preservice teachers positively evaluated TocToc-Math overall. The evaluation tendencies of preservice teachers were classified into three groups, and the specific characteristics of each factor differed depending on the group. Based on the research results, we suggest implications for improving preservice teachers' evaluation abilities regarding the use of digital technology and AI in mathematics education.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.229-235
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• 2019

By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.233-237
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• 2021

With the advent of the 4th industrial revolution, interest in artificial intelligence education is increasing in elementary schools. In order to nurture future talents with artificial intelligence capabilities, AI education should be actively conducted at school sites. Although basic software education is provided in the 2015 revised curriculum, there is a tendency to view the programming process that creates artificial intelligence only as a problem-solving process. However, when creating an artificial intelligence, the value of the developer who creates artificial intelligence is projected. Therefore, it is necessary to deal with the contents of artificial intelligence value judgment during SW education. This study has limitations due to the fact that Delphi research was conducted with a group of experts. In the future, it is judged that quantitative research should be conducted to supplement these limitations.

• The Mathematical Education
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• v.62 no.3
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• pp.401-416
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• 2023

This study systematically examined the influence of preservice teachers' self-efficacy and AI anxiety, on the intention to use AI programs 'knock-knock! mathematics expedition' in mathematics lessons based on a technology acceptance model. The research model was established with variables including self-efficacy, AI anxiety, perceived ease of use, perceived usefulness, and intention of use from 254 pre-service teachers. The structural relationships and direct and indirect effects between these variables were examined through structural equation modeling. The results indicated that self-efficacy significantly affected perceived ease of use, perceived usefulness, and intention to use. In contrast, AI anxiety did not significantly influence perceived ease of use and perceived usefulness. Perceived ease of use significantly affected perceived usefulness and intention to use and perceived usefulness significantly affected intention to use. The findings offer insights and strategies for encouraging the use of 'knock-knock! mathematics expedition' by preservice teachers in mathematics lessons.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.261-267
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• 2021

This study examines the purpose and goals of ICT education, compares them with current software and artificial intelligence-oriented information curriculum, analyzes foreign SW curriculum, extracts learning topics and elements, and analyzes whether the current information curriculum is presented effectively. As a result of the analysis, the number of information-related courses in Korea is currently lower than in other countries, which has reduced the number of basic computer applications and underlying software applications such as presentations and spreadsheets covered in ICT training in the past. In addition, compared to Korea's curriculum where information education begins in the fifth grade of elementary school, other countries are introducing information education from the first grade to the third grade of elementary school. Therefore, active discussions on the expansion of the number of information education, the timing of introduction of information education, and the utilization of basic computers are needed.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.917-925
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• 2021

This study aims to specify a constructivism-based instructional method using a modular data analysis tool. The value and meaning of a modular data analysis tool have been examined to be applied in the national curriculum for artificial intelligence education and the process of cultivating problem-solving ability based on computational thinking. The modular data analysis tool visually expresses the cognitive thinking process that forms the schema in equilibrating through assimilation and adjustment. Artificial intelligence education has features that embody abstract knowledge and structure the data analysis module through the represented schema as a BlackBox implemented as an algorithm. Therefore, the value of the modular data analysis tool could be examined because it has the advantage of connecting the conceptual and implicit schema.

• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

• Journal of Nutrition and Health
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• v.39 no.8
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• pp.808-816
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• 2006

The purpose of this study was to improve the dietary attitudes and habits of elementary students in lower classes through a 12-week practical nutrition education program called KHIDIKIDS, which was developed by Korea Health Industry Development Institute (KHIDI) in 2004 based on the 2003 Children's Dietary Guidelines of the Ministry of Health and Welfare of Korea. KHIDIKIDS has never been applied in the field, therefore, another purpose of this study was to evaluate the program in the school education and suggest the ideas for the improvement. KHIDIKIDS was applied to a class of 2nd-grade elementary students consisting of 28 children in Seoul during the fall semester of 2005, and the effect of the program was measured by using questionnaires for the students and their parents. The statistical analysis of the study was conducted by using SPSS WIN 11.5 program, and the results were as follows: The children's knowledge on nutrition was improved significantly by KHIDIKIDS education (p<.001), such that the average score on nutritional knowledge increased from 8.32 to 9.64 after education. This practical nutrition education program also improved the dietary attitudes and habits of children especially in healthy body weight, daily exercise, and having breakfast (p<.05). Parents also showed very positive responses for the nutrition education. During the application of KHIDIKIDS in the field, the followings were indicated for adjustment, First, some education content of the week was too much to be finished in a class hour and more hours need to be allocated. Second, some terminology need to be adjusted to help the students understand easily. Thirdl, the order of the's Basic Food Groups' needs to be matched with the order of each food group in the 'Food Tower' not to make children be confused. Above results showed that KHIDIKIDS was effective for the improvement of dietary attitudes and habits of lower elementary students. However, further educational effects would be achieved when the education was started from the 1st to higher grades along with the parents' participation.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.847-857
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• 2021

Recently, domestic schools are increasingly interested in environmental education related to COVID-19 and the severe climate crisis, as well as artificial intelligence education related to the 4th industrial revolution that is rapidly approaching us. In particular, AI education is highly likely to be applied to 5th to 6th graders of elementary school, so measures related to connection with 1st to 4th graders are needed. There are many students who are not proficient in computers in the lower grades of elementary school, so there may be many restrictions in using the currently used teaching aids. Therefore, this study tried to develop an artificial intelligence education program for the lower grades of elementary school to secure the linkage of artificial intelligence education. The theme of the program was developed based on the topic of environmental education, which has recently increased in interest. As for the educational method, considering the developmental stage of the lower grades of elementary school, the STEAM education method was used, which was fused with various subjects and unplugged using play and games without a computer. of the program. For validity verification, Lawshe (1975)'s content validity ratio (CVR) calculation formula was used. The verification results were analyzed to be suitable for the purpose of development of all programs. In the future, it is necessary to measure the degree of effectiveness by applying the program proposed in this study to the lower grades of elementary school.