• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.27-37
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• 2019

In this study, for the purpose of reflection level analysis of high school students in HW design learning which is based on online simulation, we carried out 5 lessons of HW learning and analyzed there reflection levels for 5 individual time of reflection content. The reflection level analysis results for each time of learning shows that the reflection level of the $3^{rd}$ time learning of D-Flip Flop is the highest score with 1.23. The correlation analysis result between the reflection contents presents that high positive correlation between learning content and task resolving method(r=.781, p<.01), and negative design correlation between task resolving method and alternative resolving method. The HW learning satisfaction survey result shows 4.2, and most of the participant students provided opinions that the HW design learning is required and current learning contents is a bit difficult to follow. We could recognize HW design learning is required to have composition of curriculum with basic and advanced contents, and on-off lines combined.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.51-65
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• 2019

This study aims to provide educational implications for more strategic online software education by the types of online learning according to learners' self-regulated learning characteristics in the online software education environment and examining the characteristics of each type. For this, variables related to self-regulated learning characteristic were extracted from the log data of 809 students participating in the online software learning program of K University, and then analyzed using hierarchical cluster analysis. Based on hierarchical cluster analysis learner clusters according to the characteristics of self-regulated learning were derived and the differences between learners' learning characteristics and learning results according to cluster types were examined. As a result, the types of self-regulated learning of online software learners were classified as 'high level self-regulated learning type (group 1)', 'medium level self-regulated learning type (group 2)', and 'low level self-regulated learning type (group 3)'. The achievement level was found to be highest in 'high-level self-regulated learning type (group 1)' and 'low-level self-regulated learning type (group 3)' was the lowest. Based on these results, the implications for effective online software education were suggested.

• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.970-985
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• 2011

In this study, we analyzed secondary science teachers' needs for mentoring programs improving their professionalism in science-gifted education. A survey was administered to 111 teachers who had experience in teaching science-gifted secondary students in Seoul. Analyses of the results indicated that most teachers needed the mentors' support in science content knowledge, knowledge of beliefs about science-gifted education, knowledge of science-gifted students, knowledge of instructional strategies for science-gifted education, knowledge of curriculum for science-gifted education, knowledge of assessment in science-gifted education, and knowledge of external factors influencing in implementing science-gifted education. Most teachers, especially having the perceptions of lower levels of professionalism, relatively needed more mentors' support in the knowledge of the instructional strategies for science-gifted education and the knowledge of assessment in science-gifted education. Most teachers wanted the mentors' supports for all subcategories of professionalism at the planning stage of the classes, and some did the support for some subcategories at the performance stage and the reflection-evaluation stage of the classes. They also relatively wanted more mentors' support for all subcategories of professionalism through lectures and/or group discussions, some did the support through face-to-face interviews and/or real-time or non real-time online interviews. They variously responded in the suitable ratio of mentors and mentees, and perceived positively the qualities required to mentor as well as the necessary factors for the effective use of mentoring.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.45-50
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• 2021

In order for SW education to be established in the era of non-face-to-face caused by COVID-19, research on the efficiency of SW education according to face-to-face and non-face classes is needed. Therefore, this study classified the operation status of the curriculum of 30 SW gifted classes nationwide in 2020 according to the class method(face-to-face, non-face, and blended). Subsequently, the results of class time and production per person were compared and analyzed through quantitative analysis. According to the study, the type of classes that performed the most classes compared to the planned number of hours was non-face-to-face(90.9%), followed by face-to-face(84.2%) and the least was blended(80.5%). The average number of products per student was the highest in the face-to-face class(0.504), while the blended class(0.421) and non-face-to-face class(0.42). Based on the results of this study, the non-face-to-face approach is advantageous in securing the number of hours, but various measures should be prepared to solve this problem because teachers and students find it difficult to guide the output.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.136.2-136.2
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• 2011

한국천문올림피아드(KAO)는 경시대회에 의한 입시 과열 및 사교육 조장 논란으로 촉발된 정부 정책의 변화로 2010년 1차 선발 방식을 지필고사에서 서류전형으로 바꾸는 등 대대적인 개편을 겪었다. 그 결과로 지원자 수의 급감 등 양적 변화 외에 지원자의 성향에 있어서도 상당한 변화가 예상되고 있다. 이에 따라 2011년도 KAO 2차 선발 심층면접 참가 학생 96명을 대상으로 실시한 설문조사를 토대로 KAO 참가 동기, 참가준비방법, 타 올림피아드 중복 참가 여부, 그리고 천문올림피아드 자체교육(온라인 강좌, 인터넷과제, 주말교육) 및 서류심사, 심층면접에 대한 평가 의견을 전체 및 소속 학교별, 성별, 지역별로 분류하여 분석하였다. 또한 위의 결과를 2010년도에 시범적으로 실시한 설문조사 결과와 비교 분석하여 시간적 변화 추이에 대해서도 살펴보았다. 이로부터 도출된 결론을 바탕으로 단기적 관점에서 KAO의 선발 방식 및 선발학생의 교육을 어떤 방식으로 개선해나가야 할지, 그리고 장기적 관점에서 천문학에 관심 있는 과학영재를 어떻게 발굴하고 육성해나갈지에 대해 논의했다.

• Journal of Gifted/Talented Education
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• v.25 no.3
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• pp.381-399
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• 2015

The purpose of this study was to investigate teachers' perception of Advanced Placement Program. Participations of this study were 111 teachers from science high schools and gifted science high schools. The results showed as follows. First, teachers perceived positively regarding AP program and were willing to teach AP program. However, teachers perceived that schools were not ready to start AP program. Also, They perceived that teaching materials development, more teachers to teach AP programs, and teacher training programs were needed to set up AP Programs in science high schools. For the professional development, 60-hours teacher training program and incentive system for the AP teachers were needed. Implications of the study were discussed in depth based on the results.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.235-236
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• 2022

본 논문에서는 인공지능 교육에서 소외계층의 지원 방안을 도출하기 위하여 소외계층과 일반 학생의 인공지능 교육과 관련된 여러 요인의 실태를 조사하였다. 실태 조사 결과를 소외계층과 일반 학생을 비교하여, 소외계층의 인공지능 교육에서 시사점을 도출하고자 하였다. 연구를 위하여 인공지능 교육 관련 실태를 조사할 수 있는 설문을 구성하였으며, 온라인을 통해 설문을 진행하였다. 연구 결과, 소외계층 662명과 일반 학생 1,482명이 설문에 참여하였다. 소외계층은 일반 학생보다 인공지능에 대한 관심이 높았으며, 프로그램이 언어나 피지컬 컴퓨팅을 경험한 학생 비율이 높았다. 또한, 인공지능 직&·간접적 경험의 비율은 일반 학생과 비슷한 수준이었다. 하지만 인공지능 교육 경험 비율은 일반 학생이 약 20% 높았다. 이러한 내용을 종합하였을 때, 인공지능 교육에 대한 관심은 높지만, 인공지능 교육을 받는 학생의 비율은 낮은 것을 확인할 수 있었다.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.91-98
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• 2021

As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

• Journal of Educational Research in Mathematics
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• v.25 no.4
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• pp.717-754
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• 2015

As a design research, this study aims to identify students' collaborative problems solving patterns using the Wiki and design factors triggering MKB(mathematical knowledge building) in virtual environment. For 70 days, 14 Korean secondary gifted students, who enrolled in calculus II courses in one of gifted institutions in Korea, solved 10 math problems together using the Wiki. In this study, I considered five design factors; motivation, practice of LaTeX, norms of participation, epistemic agency, and two types of educational settings. The primary pattern emergent in students' collaborative problem solving process is identified as 'solutions and refutations' along the double helix consisting of the constructive line and the critical line, which is very similar to the pattern of 'Conjectures and Refutations'(Lakatos, 1976). Despite that most participants had difficulty in using LaTeX for mathematical expressions, this study shows that Wikis are valuable tools for providing Korean secondary students opportunities to learn social virtue such as humility and courage (Lampert, 1990), which is considered to be have been neglected in Korean educational environment but is emphasized as precious for doing mathematics in the field of mathematics education.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.203-211
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• 2024

Utilizing programming languages for data visualization can enhance the efficiency and effectiveness in handling data volume, processing time, and flexibility. However, practice is required to become proficient in programming. Therefore public data-based the problem bank was developed to practice data visualization in a programming automatic assessment system. Public data were collected based on topics suggested in the curriculum and were preprocessed to make it suitable for users to visualize. The problem bank was associated with the mathematics curriculum to learn various data visualization methods. The developed problems were reviewed to expert and pilot testing, which validated the level of the questions and the potential of integrating data visualization in math education. However, feedback indicated a lack of student interest in the topics, leading us to develop additional questions using student-center data. The developed problem bank is expected to be used when students who have learned Python in primary school information gifted or middle school or higher learn data visualization.