• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.209-216
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• 2023

In this paper, artificial intelligence agents ChatGPT and Stable Diffusion were used to explore the possibility of educational use by implementing a program to recommend picture materials for teaching and learning according to the class topic entered by teachers. The average time spent recommending all picture materials is about 6 minutes. In general, pictures related to keywords were recommended, and the letters in the recommended pictures could only know the intention to represent the letters, and the letters could not be recognized and the meaning could not be known. However, further research seems to be needed on the fact that the type or content of the recommended picture depends entirely on the response of ChatGPT and that it is not possible to accurately recommend the picture for all keywords. In addition, it was concluded that it is true that the recommended picture is related to the keyword, but the evaluation of whether it has educational value is the subject of discussion that should be left to the judgment of human teachers.

• Journal of Science Education
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• v.36 no.1
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• pp.94-105
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• 2012

The purposes of this study is to identify the professional knowledge of the three elementary teachers for science-gifted students in teaching method. All teachers have received in-service program in gifted education, and have been recommended by their colleagues. Two teachers have instructed the gifted for more than five years, one teacher have instructed the gifted for one year and the general students for eleven years. For for this study, each teacher's lesson plans were collected, videotapes were recorded during lessons, and in-depth interview for each participant were conducted. All recoded data were transcribed and analyzed. Some unique characteristics of teaching method for the gifted were identified from the class instruction of participants. They had knowledge of teaching model for the gifted, especially Renzulli's three pod enrichment model. And they mainly used the materials developed by KEDI for the gifted. Also they had capability to be able to reconstruct them, but their lesson plans did not be realized well in their class. Some implications from findings of this study were suggested, such as teaching methods to improve the quality in the classes of the gifted in science.

• Journal of The Korean Association of Information Education
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• v.16 no.2
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• pp.223-231
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• 2012

Recently, We need a change of our education, Owing to trend of smart phone, approaching Digital Natives. We need some Teaching-Learning method, materials, softwares which realize Student-centered, Customized education more than E-learning, U-learning. Thus, In demand of This, This study will suggest a creative idea that how to design and produce smart-phone application which refers to 800 English words in elementary school recommended The Ministry of Education, Science, and Technology in Android Platform.

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.427-459
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• 2010

The personal introduction of 2009 academic year Korea Science Academy (KSA) freshman, 143 persons, recommendation that is filled with giftedness cases and observation recording through observing the students by guidance teacher and professor, and Observation recording paper about students that is made by parents, were analyzed in order to investigate behavior characteristics of the Scientifically Gifted by Computer Assisted Qualitative Data Analysis System (CAQDAS). We could divide behavior characteristics of the Scientifically Gifted to 5 main categories by study results. As well as this study may make up for foreign researches and existing researches dependent on quantitative research about behavior characteristics of the Scientifically Gifted, This can be used as a useful data for development of instrument for identifying the scientifically Gifted and teaching-studying program by supporting understand behavior characteristics of the Scientifically Gifted as a specific area of giftedness.

• Korean Journal of Optics and Photonics
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• v.28 no.5
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• pp.203-212
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• 2017

A scientific model refers to a conceptual system that can describe, explain, and predict a particular physical phenomenon. The co-construction of the scientific model is attracting attention as a new teaching and learning strategy in the field of science education and various studies. The evaluation and modification of models compared with the predicted models of data from the real world is the core of modeling strategy. However, there were only a limited data provided by the teacher in many studies of modeling comparing the students' predictions of their own models. Most of the students were not given the opportunity to evaluate the suitability of the model with the data in the real world. The purpose of this study was to develop a scientific model co-construction program that can evaluate the model by directly comparing the predicted models with the observed data from the real world. Through a collaborative discussion between teachers and researchers for 6 months, a 5-session scientific model co-construction program on the subject 'image formation by convex lenses' for second grade middle school students was developed. Eighty (80) students in 3 classes and a science teacher with 20 years of service from general public co-educational middle school in Gyeonggi-do participated in this 2-week program. After the class, students were asked about the helpfulness and difficulty of the class, and whether they would like to recommend this class to a friend. After the class, 95.8% of the students constructed the scientific model more than the model using the construction rule. Students had difficulties to identify principles or understand their friends, but the result showed that they could understand through model evaluation experiment. 92.5% of the students said that they would be more than willing to recommend this program to their friends. It is expected that the developed program will be applied to the school and contribute to the improvement of students' modeling ability and co-construction ability.