• KIPS Transactions on Computer and Communication Systems
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• v.7 no.10
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• pp.243-250
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• 2018

In this study, we developed career guidance guidelines in order to support professors in guiding the career development of female students in engineering programs. Focus Group Interview (FGI) was conducted by a group of experts composed of 7 professors at the department of computer engineering in order to identify the current status and draw guidelines. It was found that the female students of engineering college were required to improve their efficacy, strengthen their major competency, improve their practical job competency, cultivate basic competency, and provide guidance on specific employment information. Then, we suggested the five elements of each grade and checklists focusing on five elements and proposed the forms so that they can be easily utilized in actual career guidance. At two expert meetings, the validity of the guidelines and the forms were verified and revised. Finally, we suggested a way to streamline the application of these guidelines.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.1-30
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• 2024

The purpose of this study is to develop a diagnostic tool to strengthen the reading competencies of children and adolescents with disabilities, analyze its validity and reliability, and present basic data for the development of a diagnostic program. For this study, it was conducted on literature and case studies, the Delphi Method, and a preliminary survey of actual disabled children/adolescents. As a result of the study, there were limitations in validity and reliability analysis due to the small number of samples, but basic data was secured along with the development of a prototype diagnostic tool for the reading ability of children and adolescents with disabilities. It was proposed to develop the future reading competency diagnostic program by expanding it to the web and mobile platforms, considering various variables such as the characteristics of each disability type, a plan for data collection and utilization through big data, diagnostic procedures, and precautions during the diagnosis.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.197-209
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• 2024

This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

• Journal of The Korean Association For Science Education
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• v.40 no.6
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• pp.657-670
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• 2020

The knowledge-information-processing competency is the most essential competency in a knowledge-information-based society and is the most fundamental competency in the new problem-solving ability. Data-driven science inquiry, which emphasizes how to find and solve problems using vast amounts of data and information, is a way to cultivate the problem-solving ability in a knowledge-information-based society. Therefore, this study aims to develop a teaching-learning model and strategy for data-driven science inquiry and to verify the validity of the model in terms of knowledge information processing competency. This study is developmental research. Based on literature, the initial model and strategy were developed, and the final model and teaching strategy were completed by securing external validity through on-site application and internal validity through expert advice. The development principle of the inquiry model is the literature study on science inquiry, data science, and a statistical problem-solving model based on resource-based learning theory, which is known to be effective for the knowledge-information-processing competency and critical thinking. This model is titled "Exploratory Scientific Data Analysis" The model consisted of selecting tools, collecting and analyzing data, finding problems and exploring problems. The teaching strategy is composed of seven principles necessary for each stage of the model, and is divided into instructional strategies and guidelines for environment composition. The development of the ESDA inquiry model and teaching strategy is not easy to generalize to the whole school level because the sample was not large, and research was qualitative. While this study has a limitation that a quantitative study over large number of students could not be carried out, it has significance that practical model and strategy was developed by approaching the knowledge-information-processing competency with respect of science inquiry.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.3
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• pp.330-343
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• 2020

In this study, STEAM program on the subject of 'atmospheric circulation and surface current' was produced based on data and applied to 106 first-year high school students to analyze its effect and problem-solving processes. This program was organized to collect, refine, visualize, and analyze data and to allow communication processes to proceed based on these results. Using this, the concept of circulation in daily life was expanded from a global perspective to identify problems about circulation around the world. As a result of the application of the program, significant changes were identified in knowledge information processing competency. Also, significant changes were made in terms of convergence and creativity, which are sub categories among STEAM core competencies. It also sought to obtain suggestions for data-based STEAM education by analyzing students' responses in the form of a Text network.

• 한국정보교육학회:학술대회논문집
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• 2006.08a
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• pp.231-243
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• 2006

웹 커뮤니티 기반 온 오프라인 연계 자기주도 학습모형은 일반적으로 전통적인 면대면 교육방식이 갖고 있던 시간과 공간상의 제약 및 상호작용성의 한계를 극복하려던 e-Learning의 노력에서 한 걸음 더 나아가, e-Learning 교육 방식에 전통적인 면대면 교육방식이 갖고 있는 교육적 장점을 결합, 적절히 활용함으로써 학습효과를 극대화하기 위한 학습전략-소위 Blended Learning이다. 이에 이 논문에서는 교실이라는 제한된 범위를 넘어 다른 지역, 다른 학습자끼리 공동 관심사항에 대해 각기 자료를 검색하고, 취합하여 결과물을 공유하는 시스템을 적용하였다. 이 연구는 많은 사람들과의 연계를 통해 지기주도적 상호작용을 활성화한다는 점 이외에도 전문가 집단의 도움을 쉽게 받을 수 있으며 서로 다른 환경과 문화에 대해 통찰할 수 있는 기회를 제공해 준다는 점에서 의의가 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.133-135
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• 2015

본 연구에서는 현재와 미래사회의 핵심역량이 될 컴퓨팅 사고력을 학생들에게 가르치기 위한 정보 교사의 교수내용지식에 어떠한 특성이 있는지를 탐구하였다. 이전의 컴퓨터 교과는 일상적인 컴퓨터 기능을 가르치는데 집중하여 교사의 교수내용지식도 기능 전수에 큰 목적을 두고 있었다. 새로이 개정된 정보 교과는 컴퓨터 과학의 원리와 개념에 대해 학생들이 이해할 수 있는 교육방법에 대한 지식을 가져야 하고, 소프트웨어의 활용 및 소프트웨어 제작에 대한 능력과 교육 방법 또한 함께 가지고 있어야 한다.

• Journal of The Korean Association of Information Education
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• v.22 no.4
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• pp.419-425
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• 2018

The national curriculum includes the problem solving process, algorithms, and programming of SW education. The education using robots is one of attractive alternatives for students who have no interest of SW or are poor at programming. We have developed a courseware using robots for SW education based on paper art activities with narrative storytelling to enhance students' creative thinking and problem solving within limitation of class time in schools. We apply the courseware and obtained the result of pre and post-test on the creative problem solving ability of third graders in the elementary school The four factors of creative problem solving have shown significantly increase. In addition, it had an significant effects for understanding robot technology and for learning attitude using robots of SW or programming.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.168-175
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• 2021

In this study, a transdisciplinary convergence education program was developed to enhance the understanding for classification of reptiles and amphibians in biology education and also to increase AI (Artificial Intelligence) capability by using artificial intelligence education. The main content is to solve the classification of reptiles and amphibians that has been dealt with for a long time in biology education, using a decision tree and ML4K (Machine Learnig for Kids), it was designed for a total of 3 lessons. Experts review was conducted on the developed education program, as a result, the I-CVI(Item Content Validity Index) value was .88~1.00 so that can secure content validity. This education program has the advantage of being able to simultaneously learn about the learning contents of artificial intelligence in informatics and the classification of vertebrates in the biological education. In addition, since it is configured to minimize the cognitive load in the AI using part, it is characterized by the fact that all of any teachers can apply it their lesson easily.

• Proceedings of The KACE
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• 2018.08a
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• pp.11-14
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• 2018

빠른 속도로 끊임없이 쏟아지는 정보의 홍수 속에서 미국이나 영국 등 세계 각 나라마다 앞으로 미래사회를 이끌어 갈 인재가 갖추어야 하는 핵심 역량의 하나로 창의적 문제해결력을 들고 있는데, 이러한 추세는 교육계에서도 예외 없이 나타나고 있어 학문의 각 영역과 정보 기술 활용의 융합된 교육 방법론에 대한 관심이 날로 고조되고 있다. 이러한 융합된 교육 방법론의 필요와 창의적 문제해결력 향상을 위한 교육으로 소프트웨어 교육이 우리나라를 포함하여 전 세계적으로 교육과정에 포함될 정도로 중요성이 더해가고 있다. 전 세계적인 정보교육의 패러다임 변화에 따라 우리나라도 교육부에서 '2015 개정 교육과정'에 소프트웨어 교육을 포함시키고, 소프트웨어 교육의 목표를 '컴퓨팅 사고력을 가진 창의 융합 인재를 기르는 데에 목표가 있다'라고 발표하였다. 또한 소프트웨어 교육의 방향과 운영에 필요한 내용들 중에 교육 현장에서 소프트웨어 교육을 하기에 부족한 소프트웨어 교육 시수의 적절한 확보와 교수 학습 방법의 연구가 필요한 것으로 발표하였다. 이에 본 연구는 부족한 소프트웨어 교육 시수의 해소와 여러 교과 간의 융합적인 교수 학습 방법을 위한 효과적인 소프트웨어 교육 수업 모형을 설계하게 되었다.