• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.393-400
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• 2021

Data science is a scientific discipline that defines problems while finding meaningful information from collected data to solve problems. Along with artificial intelligence technology, the field of data utilization is gradually expanding, and awareness of the importance of data science education is also increasing. Despite the rapid growth of the domestic data industry market, it has recently been predicted that the shortfall of data experts will reach 31.4% within the next 5 years according to an analysis of the current status of the data industry by the Korea Data Agency. In the field of elementary education, various studies have been conducted to introduce data science in order to improve students' computational thinking and creativity. This paper proposed the contents of data science lectures developed for the purpose of educating elementary school teachers, who are mostly non-majors in the computer field. The developed contents were applied to a group of elementary school teachers attending graduate school for artificial intelligence convergence education. Points for improvement were derived by identifying the contents that were difficult for learners to understand and analyzing the causes of difficulty.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5189-5197
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• 2015

This study is intended to look into early childhood teachers' perceptions and needs for forest experience activities. To achieve this, a survey was carried out to 170 early childhood teachers in kindergartens and child care centers in Daejeon city. The SPSS(Statistical Package for Social Science) v. 18.0 was used for data analysis through the process of data coding and data cleaning. The frequency analysis was conducted for the general state of those surveyed. The frequency analysis, ANOVA and factor analysis were conducted for the perceptions and needs for forest experience activities. The findings showed that early childhood teachers had positive perceptions for the educational effects of forest experience activities. Especially, they perceived that the educational programs of forest experience activities need to be highly recommended to early children as forest experience education is important for forest experience activities. Consequently, forest experience education is just as important and useful for early children to learn the importance of coexistence with human and nature, and develop a sense of community by interacting with nature.

• Journal of Korean Elementary Science Education
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• v.42 no.1
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• pp.17-33
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• 2023

This study examined inservice elementary teachers' thoughts on the development of educational apps by preservice elementary teachers and implications for TPACK education for preservice elementary teachers. A case study was conducted in which preservice elementary teachers developed a science education app, and the three teachers were surveyed for their thoughts regarding this. The results regarding the characteristics of the developed app by preservice teachers were as follows. First, "inquiry" had the highest value among educational goals intended by the preservice teachers. In addition, the scores for tool-type apps and apps in which interaction between learners and instructors occurs were relatively high. Second, most of the preservice teachers developed apps to meet curriculum goals, but their apps showed low-level characteristics in terms of the constructive and cooperative dimensions. The results of the analysis of the thinking of elementary school teachers regarding the education development apps are as follows. First, elementary school teachers assigned the lowest scores to the effectiveness of the apps, and to this problem, the achievement standard with respect to the curriculum and the evaluation and modification activities fir the apps were proposed. Second, the teachers indicated that it would be appropriate to provide the experience of making apps to directly improve the TPACK of preservice teachers. Third, the respondents thought that preservice teachers should develop block coding literacy to create apps using App Inventor. Fourth, the teachers considered it necessary to emphasize simulated instructions, as well as the experience of collecting and handling data through apps to improve preservice teachers' TPACK app development for educational use.

• The Journal of the Acoustical Society of Korea
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• v.40 no.2
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• pp.139-147
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• 2021

This paper introduces and implements a Sound Event Detection (SED) system based on weakly-supervised learning where only part of the data is labeled, and analyzes the effect of parameters. The SED system estimates the classes and onset/offset times of events in the acoustic signal. In order to train the model, all information on the event class and onset/offset times must be provided. Unfortunately, the onset/offset times are hard to be labeled exactly. Therefore, in the weakly-supervised task, the SED model is trained by "strongly labeled data" including the event class and activations, "weakly labeled data" including the event class, and "unlabeled data" without any label. Recently, the SED systems using the mean-teacher model are widely used for the task with several parameters. These parameters should be chosen carefully because they may affect the performance. In this paper, performance analysis was performed on parameters, such as the feature, moving average parameter, weight of the consistency cost function, ramp-up length, and maximum learning rate, using the data of DCASE 2020 Task 4. Effects and the optimal values of the parameters were discussed.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.1005-1013
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• 2021

With the prolonged COVID-19, the existing academic gap is widening. The purpose of this study is to provide homeroom teachers with a visual confirmation of the academic achievement gap in grades and classrooms through academic achievement analysis, and to use this to help them design lessons and explore ways to improve the academic achievement gap. The data of students' Korean and math diagnostic evaluation scores at the beginning of the school year were visualized as clusters using the K-means algorithm, and as a result, it was confirmed that a meaningful clusters were formed. In addition, through the results of the teacher interview, it was confirmed that this system was meaningful in improving the academic achievement gap, such as checking the learning level and academic achievement of students, and designing classes such as individual supplementary instruction and level-specific learning. This means that this academic achievement data analysis system helps to improve the academic gap. This study provides practical help to homeroom teachers in exploring ways to improve the academic gap in grades and classes, and is expected to ultimately contribute to improving the academic gap.

• Journal of The Korean Association For Science Education
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• v.31 no.2
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• pp.164-180
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• 2011

In this study, pre-service elementary teachers (n=68) participated in an inquiry of exploring children's science ideas as group work. After conducting interviews with children, the pre-service teachers analyzed their science ideas on specific concept and propose a teaching plan based on their findings. This paper aimed to find the positive learning experiences of the pre-service teachers by looking into their inquiry process. Questionnaire, researcher's journal, classroom videos and final reports were collected and analyzed for this multiple case study. Four representative groups were chosen and interviewed after submitting their final reports for in-depth understanding of their inquiry process. The positive learning experiences found in the process of their inquiry into children's science ideas were as follows: (1) exploring children's ideas have brought the opportunity for enhancing pre-service teachers' science content knowledge. (2) the pre-service teachers developed their ability in creating questions that probe into children's understanding. (3) the pre-service teachers recognized that children have various incomplete and unstable science ideas. (4) the pre-service teachers could suggest teaching strategy based on their findings.

• Journal of the Korean School Mathematics Society
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• v.20 no.2
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• pp.163-186
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• 2017

The purpose of this paper is to propose the policy change of teachers education in Korea with an analysis of America statistical literacy education. we found the difference of statistical literacy education between Korea and America with each nation's social and educational environment. We can get the need of new change for statistic teacher's education in Korea. We think of Mathematics teachers should know about the difference between statistics and mathematics at school mathematics. And they should know the new change thinking about teaching method and process assesment methods. Second, Teachers should focused on teaching of problem solving and statistical thinking ability based on data analysis than the teaching of probability and mathematical theory.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.409-412
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• 2022

본 논문에서는 대입수시전형에서 생활기록부 입력은 대한민국 입시를 결정하는 매우 중요한 평가자료이다. 30명의 교사를 대상으로 실시한 설문조사를 통해서 교사들이 생활기록부를 작성하는데 가장 많이 참고하는 자료로는 수행평가 결과물, 발표내용, 보고서, 감상문 등의 학습 결과물(90%), 학생들이 작성한 자기평가서(73.3%), 관찰 평가지(50%)로 나타났으며, 80%(24명)의 교사들이 생활기록부를 작성하는데 고충을 겪고 있음을 확인할 수 있었다. 교사들이 느끼는 고충의 원인으로는 학생들의 개인별 특성 파악이 어려워 차별성있게 작성하는 것(76.7%)을 가장 힘들어 하였고, 작성해야 할 많은 수의 학생(60%), 문구를 만드는데 대해 부담(86.7%)을 느끼는 것으로 나타났다. 이 과정에서 교사의 전문성 뿐만 아니라 기계적이고 반복적인 작업도 많이 요구되고 있기 때문에, 생활기록부를 작성하는데에 도움을 줄 수 있는 프로그램 개발이 필요하다고 고안을 내었다. 교사들 역시 반복적이고 일률적인 생활기록부 작성에 도움을 줄 수 있는 프로그램이 있다면 유용하게 활용할 것이라는 응답이 90%였다. 따라서 본 연구에서 자연어 처리 인공지능 기술을 활용하여 교사들이 생활기록부를 작성하는데 있어 기계적이고 단순한 작업을 도와 주는 프로그램 개발에 대한 연구의 필요성을 제시하였다. 제안하는 프로그램은 학생들의 탐구보고서, 토론, 발표, 감상문 등의 생화기록부 작성 참고자료들을 텍스트로 변환하고 추상요약(Abstractive Summarization)을 통해 교사들이 효율적으로 작성하는데 활용될 수 있도록 설계하였다. 연구 결과 생활기록부 작성 참고자료를 텍스트로 변환하는 것과 추상요약을 할 수 있는 개방형 데이터셋까지는 확보하였다. 추상요약을 구현하는 방법에 대해서는 보다 심도 있는 추가연구가 필요하였다. 이를 통해 교사들이 교육 본질에 더욱 충실할 수 있는 환경을 마련하고, 내실 있는 생활기록부 작성이 공교육 신뢰 제고에 밑바탕이 되고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.716-722
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• 2016

In the recent rapidly changing IT environment, the amount of smart digital data is growing exponentially. As a result, in many areas, utilizing big data research and development services and related technologies is becoming more popular. In SMART learning, big data is used by students, teachers, parents, etc., from a perspective of the potential for many. In this paper, we describe big data and can utilize it to identify scenarios. Big data, obtained through customized learning services that can take advantage of the scheme, is proposed. To analyze educational big data processing technology for this purpose, we designed a system for big data processing. Education services offer the measures necessary to take advantage of educational big data. These measures were implemented on a test platform that operates in a cloud-based operations section for a pilot training program that can be applied properly. Teachers try using it directly, and in the interest of business and education, a survey was conducted based on enjoyment, the tools, and users' feelings (e.g., tense, worried, confident). We analyzed the results to lay the groundwork for educational use of big data.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.131-140
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• 2004

In the latest school spot, practical use about web based multimedia is increasing very greatly. Accordingly, various meta-data element definition to search multimedia data easy is appearing but international standard is presented as the main-stream. Opinion of domestic spot teachers is hardly reflected. Hereupon, in this study, wish to searches multimedia data that is included inside web page reflecting opinion of domestic spot teachers efficiently, defines meta-data element and designs XML DTD for actuality practical use. This study finding sees that can raise public ownership and practical use of multimedia data.