• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.219-225
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• 2007

컴퓨터교과는 학생들의 일반적인 학업성취 개인차 요인과 더불어 필수 교과가 아니기 때문에 학교 혹은 교사마다 교육하는 내용이 상이하여 학생들이 상급학교로 진학하였을 때 학생들 간의 수준 차가 심화된다. 이러한 다양한 수준차가 있는 학생들을 교사 1인이 한정된 시간 안에 모든 학생들의 수준에 맞추어 지도하는 것은 대단히 어렵다. 또 넓은 컴퓨터실에서는 학생들의 주위가 분산될 우려가 많으므로 학생들의 행동을 수시로 관리할 필요가 있다. 이러한 컴퓨터교과 실습수업 시에는 보다 효과적인 지도방법이 요구된다. 이에 본 연구에서는 컴퓨터교과 실습지도 방법의 장단점을 분석하고, 컴퓨터교과 실습수업 시 널리 사용되는 시범 실습법의 단점을 보완할 수 있는 도우미학생 활용 시범 실습법을 제안하고, 중학교 컴퓨터 정규교과 시간에 적용하여 그 효과를 검증하였다. 도우미학생 활용 시범 실습법이란 교사는 실습내용을 설명하고, 모든 학생들은 교사의 설명과 동시에 실습을 하며, 도우미학생의 실습내용이 빔 프로젝트를 통해 다른 학생들에게 보여짐으로써 교사의 시범을 대신하는 방법을 말한다. 컴퓨터교과는 설명만으로도 실습 가능한 내용이 많아 이러한 지도방법이 가능하다 이 방법은 실습내용을 최소한의 작은 단계로 구분하고, 각 단계별로 교사의 설명과 개별지도, 모든 학생의 실습과 관찰이 동시에 이루어진다. 이 방법은 교사의 행동이 자유로워 설명과 동시에 개별지도가 가능해 개별지도의 확대를 가져올 수 있으며, 학생들에게 보다 많은 즉각적인 피드백을 줄 수 있으며, 학생들의 행동을 수시로 관리할 수 있다는 장점이 있다. 또한 본 연구에서는 검증도구로 'html 태그' 단원 5차시 분량의 과제수행능력평가도구를 개발하여 사용하였다. 검증결과 학업성취 중하수준의 도우미학생 활용 시범 실습으로 수업한 집단은 통제반과 유의미한 차이가 없었으나, 학업성취 중상수준의 도우미학생 활용 시범실습으로 수업한 집단은 통제반에 비해 과제수행능력에 있어서 유의미한 차이를 보였다 이로써 제안한 지도방법의 효과성을 입증하였다.

• School Mathematics
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• v.13 no.4
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• pp.697-716
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• 2011

It is known that Korean students performs very well in mathematics but show poor attitude toward mathematics. However, attitude itself is an important goal of education and it also promotes students learning. Therefore, it is important and urgent for us to find a way to improve students' attitude toward mathematics. In this article, we tried to examine characteristics of Korean students' attitude toward mathematics and identify student and school level factors affecting it. For this purpose, we analysed National Assessment of Educational Achievement (NAEA) data in 2007 when NAEA was conducted especially focused on mathematics. Main findings of this research are as follows. First, we found that attitude toward mathematics got lower as students advanced to higher grades. And among 3 sub-domains of attitude toward mathematics, interest and self-confidence were lower than perception of value of mathematics. Secondly, attitude toward mathematics was mainly affected by student background variables such as gender, achievement, participation in private tutoring, father's education level. And while school factors contributed relatively little to students' attitude toward mathematics, teacher's perception on value of school education was positively related with students' attitude in high schools and emphasis on assessment was negatively related with students' attitude in elementary schools.

• Communications of Mathematical Education
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• v.37 no.2
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• pp.233-256
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• 2023

This study conducted foundational research to derive ways to use ChatGPT in mathematics education by analyzing ChatGPT's responses to questions from the National Assessment of Educational Achievement (NAEA) and the College Scholastic Ability Test (CSAT). ChatGPT, a generative artificial intelligence model, has gained attention in various fields, and there is a growing demand for its use in education as the number of users rapidly increases. To the best of our knowledge, there are very few reported cases of educational studies utilizing ChatGPT. In this study, we analyzed ChatGPT 3.5 responses to questions from the three-year National Assessment of Educational Achievement and the College Scholastic Ability Test, categorizing them based on the percentage of correct answers, the accuracy of the solution process, and types of errors. The correct answer rates for ChatGPT in the National Assessment of Educational Achievement and the College Scholastic Ability Test questions were 37.1% and 15.97%, respectively. The accuracy of ChatGPT's solution process was calculated as 3.44 for the National Assessment of Educational Achievement and 2.49 for the College Scholastic Ability Test. Errors in solving math problems with ChatGPT were classified into procedural and functional errors. Procedural errors referred to mistakes in connecting expressions to the next step or in calculations, while functional errors were related to how ChatGPT recognized, judged, and outputted text. This analysis suggests that relying solely on the percentage of correct answers should not be the criterion for assessing ChatGPT's mathematical performance, but rather a combination of the accuracy of the solution process and types of errors should be considered.

• Journal of the Korean School Mathematics Society
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• v.19 no.4
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• pp.441-457
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• 2016

The purpose of this study is to analyze Korean students' mathematics achievement characteristics and draw implications for better math education in schools through comparing the results of three east Asian top level countries, Korea, Singapore, and Japan in PISA 2012 results. As a results, the rate of correct answers of Korea students was relatively low compared with those of Singapore, but relatively higher than Japan. From the results of effect size, similar results from t-test was discovered. As shown in analysis according to sub-elements in math assessment framework, the Korean students had low effect size in every sub-elements than Singapore. and they had high effect size at most of sub-elements than Japan, except "personal" context. In top performing level(above level 5), the Korean students had high effect size at "quantities" in mathematical contents, and "employ" in mathematical processes compared with Singapore. And they had row effect size at 6 sub-elements compared with Japan.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.357-366
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• 2005

본 연구는 웹 기반 협동학습 환경에서 Push기능이 학업성취도, 학습동기에 미치는 영향을 알아보고자 하였다. 이러한 목적을 달성하기 위한 연구 문제는 다음과 같았다. 1. 웹 기반 협동학습에서 Push 기능에 따른 집단 간의 학업성취도에 미치는 효과에 차이가 있는가? 2. 웹 기반 협동학습에서 Push 기능에 따른 집단 간의 학습동기에 미치는 효과에 차이가 있는가? 3. 웹 기반 협동학습 환경에서 Push 기능과 학습자의 학습능력 간에 상호작용 효과가 있는가? 이러한 연구 문제를 검증하기 위하여 웹 기반 협동학습을 위한 웹 게시판을 제작하였다. 본 실험을 위한 교과와 단원은 초등학교 사회과 4학년 1학기 2단원 '우리 시 도의 발전하는 경제'였다. 사전 검사를 통해 동질성이 확인된 충북 음성군 소재 공립 초등학교 4학년 2개 학급의 36명의 학습자를 대상으로 실험을 실시하였다. 학습자들은 동일한 협동학습 환경에서 Push 기능을 선택적으로 제공받았다. 실험처치에서 얻은 검사결과를 분석하기 위하여 SPSS 12.0 for Windows를 사용하여 이원변량분석(two-way ANOVA)을 실시하였으며 유의수준은 .05로 하였다. 본 연구의 결과를 요약하면 다음과 같다. 첫째, 웹 기반 협동학습에서 Push 기능에 따른 집단 간 학업성취도 차이가 없었다. 둘째, 웹 기반 협동학습에서 Push 기능에 따른 학습동기가 차이가 있었다. 즉, Push 기능 적용 집단이 학습동기에서 효과적이었다. 셋째, 웹 기반 협동학습에서 학업성취도와 학습동기는 Push 기능과 학습자의 학습능력수준(상 하) 간의 상호작용 효과가 없었다. 결론적으로, 웹 기반 협동학습에서 Push 기능은 학습동기에서 효과적이라 할 수 있다.

• Journal of The Korean Association For Science Education
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• v.31 no.2
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• pp.225-238
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• 2011

The purpose of this study was to investigate the effects of the instruction with question-creation training, compared with traditional science instructions. The instruction with question-creation training is to give students chances to make questions by themselves based on what they learned before the end of the classes. The four effects of the instruction were studied: students' achievement, metacognition, self-efficacy, and the level of the questions created by the students according to different proficiency levels. Research data was gathered from 65 second grade students at a middle school in Busan. The comparative group was instructed in traditional lecture-type teaching method. The experimental group was instructed with questioncreation training. Students in the experimental group were asked to make 3 questions by themselves and then, to solve their peers' questions about 15 minutes before the end of the classes. Both groups were divided into 3 groups by proficiency level according to the results of last semester's science test. Before the research, a metacognition test and a self-efficacy test were conducted. After the research, an achievement test, a question level test, a metacognition test, and a self-efficacy test were conducted and analyzed by t-test. The research data for question level was analyzed by one-way ANCOVA. The results of this study revealed that question-creation training has a positive effect on student's achievement, metacognition, and self-efficiency. It also showed most of the students have gained an ability to make higher-level questions regardless of their proficiency level due to the increased number of students who made higher-level questions. It also showed that most of the students could gain an ability to make higher-level questions regardless of their proficiency level from the fact that the number of students who made higher-level questions increased in every proficiency level.

• Journal of The Korean Association For Science Education
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• v.42 no.6
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• pp.611-619
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• 2022

The purpose of this study is to explore the possibility of applying big data analysis to provide appropriate feedback to students using evaluation data in science education at a time when interest in educational data mining has recently increased in education. In this study, we use the evaluation data of 2,576 students who took 24 questions of the national assessment of educational achievement. And we use K-means cluster analysis as a method of unsupervised machine learning for clustering. As a result of clustering, students were divided into six clusters. The middle-ranking students are divided into various clusters when compared to upper or lower ranks. According to the results of the cluster analysis, the most important factor influencing clusterization is academic achievement, and each cluster shows different characteristics in terms of content domains, subject competencies, and affective characteristics. Learning motivation is important among the affective domains in the lower-ranking achievement cluster, and scientific inquiry and problem-solving competency, as well as scientific communication competency have a major influence in terms of subject competencies. In the content domain, achievement of motion and energy and matter are important factors to distinguish the characteristics of the cluster. As a result, we can provide students with customized feedback for learning based on the characteristics of each cluster. We discuss implications of these results for science education, such as the possibility of using this study results, balanced learning by content domains, enhancement of subject competency, and improvement of scientific attitude.

• Communications of Mathematical Education
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• v.25 no.3
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• pp.593-606
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• 2011

We carried out mathematics diagnostic tests for all first year engineering students at C University in Daejeon in 2008, covering precalculus and basic calculus. Then we divided into two classes such as regular and supplementary classes. The supplementary class students are lower 13% students. Then we gave extra classes for these students to support their basic and elementary calculus skills. As a result, these supplementary students received a meaningful accomplishment at the final exam. This paper analyzes the results and effects of various types of supplementary classes such as education by level, and proposes some strategies to enhance mathematics learning, particularly for under achieving first year engineering students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6756-6766
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• 2014

The aim of this study was to validate the influence from academic stress caused by the achievement pressure of their parents and the adjustment effect of self-differentiation. The data was collected from 257 students from the 19th of May, 2014 to the 30th of May, 2014 for freshmen and sophomores of a college in the Kyoungbook region to validate the study. The SPSS/PC 18.0 program was used for the statistical analysis. Hierarchical multiple regression analysis revealed more less influence of academic stress caused by the achievement pressure((${\beta}=.111$, p<0.05) of their parents but there was no reasonable value in validating the adjustment effect to reduce the academic stress by self-differentiation, i.e., it should be a non-linear and complex effect rather than a simple linear relationship for self-differentiation.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.405-410
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• 2019

A nursing department of a university operates the curriculum called, "Introductory Computer Use" with its goal of achieving international certification MOS, which is caused by the result of course analysis and the easiness in getting a job overseas as a nurse. In this paper, we statistically analyze the relation among academic achievement level, task value recognition level, and learning satisfaction by using ICT-based questionnaire and SPSS/WIN 21.0. Finally, we suggest the ways to improve the class-quality and to achieve the class goals required by the course.