• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.141-151
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• 2022

Recently, basic literacy education related to digital literacy and data literacy has been emphasized for students who will live in a rapidly developing future digital society. Accordingly, demand for education to improve big data and data literacy is also increasing in general universities and universities of education as basic knowledge. Therefore, this study designed and applied big data analysis courses for pre-service teachers and analyzed the impact on data literacy. As a result of analyzing the interest and understanding of the input program, it was confirmed that it was an appropriate form for the level of pre-service teachers, and there was a significant improvement in competencies in all areas of 'knowledge', 'skills', and 'values and attitudes' of data literacy. It is hoped that the results of this study will contribute to enhancing the data literacy of students and pre-served teachers by helping with systematic data literacy educational research.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.25-31
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• 2022

The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.

• Convergence Security Journal
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• v.19 no.2
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• pp.105-111
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• 2019

Since the problem-based learning (PBL) shows the effectiveness of self-directed learning ability and internalization of learning motivation in the process of solving real problems, studies on PBL and application cases are actively pursued in the university education. This study analyzed the effects of PBL on the academic achievement and computational thinking in a non-SW major students' programming course. The programing course was divided into the PBL class and non-PBL class, and at the end of the classes, the scores of the exams and the results of questionnaires about the educational effectiveness and computational thinking were analyzed. As a result, the students in the PBL class, compared to those in the non-PBL class, showed significantly higher scores in the areas of the algorithm implementing skill, self-directed learning, problem solving ability, and continuous learning motivation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4549-4558
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• 2015

Recently as the interesting in geospatial technology increases, various research and education in that regard is proceeding actively. This study developed 'GEospatial Education Platform Service' for development and extension of domestic geospatial technology. GEEPS's objective are efficient utilization and environment composition about geospatial technology in educational institution and research institute. GEEPS has developed to integrate with benefits of open source software and developed Korea Land Spatialization R&D Program. In addition, we surveyed and analysed GEEPS's monitoring to seek for utilization and development planning of GEEPS and we came up with activation and advancement planning.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.235-243
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• 2019

Universities are opening related majors and subjects to nurture the problem-solving fusion that businesses want. The time has come when rapid technological. On this thesis, we analyzed three years (2017-2019) of survey result of Women University students in order to figuring out and dealing with the change in 4th industrial revolution and intellectual information technology. It turns out that 1) there was an increase of interest in 4th industrial revolution from 59% in 2017 to 80% in 2019, 2) IoT, ICT, Artificial Intelligence, and Education Research System became top priority in technical strategy, 3)the prime keyword is AI, robot, job, 4)the expectation on increasing of the opportunity and the number of jobs in science technology field was 50%, 5)the importance of universities and companies was 50%, 80% each, 6) the information needed for science technology were educational discipline, change in future science, prospective future information in order, and 7)the most needed education were education on creativity, coding, cross-subject, engineering in order. In the era of the fourth industrial revolution, it is essential to expand the SW manpower base in various fields. University education, which should provide connectivity for super-fusion, should provide curriculum optimized for industrial demands such as, fusion and connected education, creative thinking, self-directed problem solving and etc.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.8-16
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• 2010

Confronted with serious problems in nurturing IT engineers such as a mismatch in supply and demand of IT workers, shortage of globally competitive IT professionals, and insufficient education and training of university graduates, the Ministry of Information and Communication has decided to adopt a new approach in national IT engineering education, based on supply chain management (SCM) in manufacturing. SCM weighs improving competitiveness of the supply chain as a whole via a long-term commitment to supply chain relationships and a cooperative, integrated approach to business processes. These benefits of SCM are believed to provide useful insight into a more effective IT education and industry orientation. On the basis of the SCM literature, a framework for industry-oriented practical IT higher education is designed, and then applied in the field of computer-software engineering in Korea.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.171-178
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• 2016

I will introduce robotics education, Novel Engineering, STOMP have hosted in CEEO at Tufts University. CEEO is a leading center for Robotics Education in all over the USA. So far lots of universities and centers have adopted these programs. CEEO have hosted many workshops for students and teachers every summer vacation. And Simple Robotics course is required for every Engineering department freshmen. Novel Engineering(NE) is not familiar to us. I think that NE will be a good tool for integrating reading literacy and engineering. When teachers design a engineering class, members of STOMP help teachers achieve the goals of class. Software Education has been widely spreaded for last several years in South Korea. If our country adopts these programs government-widely. I think that It will be able to contribute to foster SW-talented persons.

• The Journal of Korean Association of Computer Education
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• v.21 no.1
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• pp.11-21
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• 2018

Given the background of so-called 'the 4th industrial revolution', universities practice computing education for non-majors to equip them with computational thinking(CT). Universities apply different courses but researches analyzing effectiveness of the courses based on CT are limited. This research is conducted to understand a computing course for non-majors is effective in terms of CT. A CT based evaluation framework is designed referring to AP Computer Science Principles. Questionnaires are developed based on the framework and applied to the course participants. As results, students' post scores are significantly higher than pre scores. In addition, there are significant differences in pre-test scores by major category while there is no difference in post-test. Humanity & social science group showed the largest difference between pre and post results with science & engineering and computer in order. In sum, it is found that this course is effective to facilitate students abilities in terms of CT, particularly for the non-computer majors.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.107-117
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• 2017

here are many cases that take a software education as a required course for non-major students in university curriculums. However, non-major students are experiencing various difficulties in the process of learning programming languages, and there is also the opposite opinion in terms of their effectiveness. In this study, we developed a design based software education model (DBSEM) and curriculum to solve these problems and applied it to undergraduate non-undergraduate students for the last 8 years. In the proposed method, we provide a specialized educational tool such as 'block-based programming tool', but developed 'core module' and 'concept learning module' for computational thinking and applied 'prototype design module' and coding strategy based on it. As a result, non-major undergraduates could easily learn block-based scripting tools and acquire core concepts of computational thinking.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.367-374
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• 2018

In order to cultivate the human resources needed in the 4th industrial revolution era, it is necessary to select the gifted students and educate them systematically. Although excellent gifted students are important in a specific field, more convergent talents in the fields of mathematics, science, and information are required. The purpose of this study is to investigate how evaluation factors reflecting the characteristics of information gifted students affect the selection of science gifted students of a university gifted education center. In the characteristics of information gifted students, the cognitive factors such as Rule creation ability, Reasoning ability, Efficiency ability, Generalization ability, Structuring ability and Abstraction ability were highly correlated in selecting the science gifted students. Correlations in the applicants group of students for science gifted education center are higher than those in the first passers group and higher than those in the final successful candidates group. This means that the factors that shows the characteristics of the information gifted have a great influence on the selection of the science gifted.