• The Journal of the Korea Contents Association
• /
• v.18 no.12
• /
• pp.238-250
• /
• 2018

The 2015 revised curriculum includes 'informatics' course including the process of building software aiming at cultivating creative and convergent ability. This study analyzes the competencies pursued in the revised curriculum and defines computational thinking as the main competency. The subjects of the study were the first grade of a middle school in the first semester of the 2018 school year. Of the 95 collected data, 83 data were used for analysis and the significance was confirmed by the paired t-test. Also, computational concept, computational practice and computational perspectives were confirmed through artifact-based interviews. As a result of statistical analysis, critical thinking, creativity, algorithmic thinking, and problem-solving significantly increased among sub-variables of computational thinking. Statistical results and interview results were analyzed to provide implications for design and implementation of software education in 'informatics' course.

• Journal of Creative Information Culture
• /
• v.7 no.1
• /
• pp.1-9
• /
• 2021

Subjects for the study are educationally alienated class living in poor educational environment. Those students often live outside the reach of software education which is one of key capabilities of Fourth Industrial Revolution. The gap between student in rural and urban areas is becoming more distinct and schoolchildren in rural areas are further limited to access software development education under COVID-19 where face-to-face classes are more rarely conducted. To overcome the issue, AI based thinking skills coding educational program was developed and tested on children in 6 primary schools in south and north of Gyunggi-do, South Korea. Questionnaire were conducted before and after classes to research on students'awareness on AI thinking skills coding. At the end of the study, subjects showed statistically significant increase in confidence, interest, and attitude, and showed positive overall feedback on software development tendency after the program is conducted.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.5
• /
• pp.511-522
• /
• 2016

Breaking down the boundaries between recent study has emerged as a key issue of convergence education to create new knowledge. The core of IT Convergence Education is being made through educational SW, SW purpose of education has been focused on improving the CT(: Computational Thinking). The purpose of this paper is to design a CT teaching model for activating IT Convergence Education. In this study, we designed a CT Curriculum focusing on algorithm and program for the purpose of enhancing non-majors learner's CT ability and software adaptability and being utilized in the majors. It is expected to be utilized to design a CT teaching methods and curriculum in University.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.12
• /
• pp.1832-1837
• /
• 2022

In the SW education of non-majors who encounter liberal arts education experience difficulties in the SW development environment and understanding they encounter for the first time, relevance to their major, and convergence thinking ability. In order to compensate for the difficulties of non-major learners in liberal arts education, a relatively easily accessible software was used to utilize a demonstration-oriented model that can be applied to beginners in SW education. In order to understand the logical flow of applications and problem solving used in real life, we proposed a convergence SW teaching method that combines repeated implementation through demonstration by the instructor and imitation of the learner, and learning indicators to increase the learning satisfaction and achievement of the learner. In the experiment applying the teaching and learning method proposed in this paper, meaningful results were shown when evaluating the learning effect, academic achievement, learning satisfaction, and teaching and learning method aspects of SW education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.327-331
• /
• 2018

The purpose of this study was to design a competence teaching-learning model that could help college students improve their computational thinking among core competences in SW education. A competence teaching-learning model, UDDPAAP (Unplugged-Demonstration-Decomposition-Pattern Recognition-Abstraction-Algorithm-Programming), was designed by analyzing competences of learners with no experience in software coding, by reconstructing DMM, DDD, and DPAA among the five existing SW-based teaching-learning models, and by analyzing unplugged activity and the Bebras challenge computational thinking scale carefully. The unplugged activity partially adapted to instruction for college students and some items chosen from the Bebras challenge computational thinking scale were applied to the existing teaching-learning model. To determine the effects of the study, pretest was conducted in freshmen for computational thinking and self-confidence on the basis of the experience in SW and computer information literacy education, and posttest following instruction applying the UDDPAAP teaching-learning model. The students provided with SW education based on the UDDPAAP teaching-learning model saw their computational thinking competence improved.

• The Journal of Korean Association of Computer Education
• /
• v.20 no.6
• /
• pp.47-59
• /
• 2017

The Goal of SW education is to cultivate creative and convergent human resources with computational thinking ability. The content and methods of SW education are diverse, and it is difficult for the students to properly evaluate what they have learned. In order to appropriately evaluate the learning contents, SW education evaluations should be able to easily evaluate the core content of the SW education. The purpose of this study is to provide a systematic framework that can be used to develop evaluation factors to evaluate the effectiveness of SW education in elementary and secondary schools. We conducted a literature review, a field suitability review through FGI, an expert consultation, and a Delphi survey. As a result, the metrics of the cognitive domain were developed with 17 keywords in three categories: Computational Materials & Outputs (CMO), Computational Concepts (CC), and Computational Practices (CP). Also, metrics of the affective domain were developed with 13 sub-areas in four categories: value, attitude, computational thinking efficacy, and interest. The SW education evaluation factors developed in this study can be used as a framework to develop the evaluation contents in accordance with the contents of education.

• Journal of The Korean Association of Information Education
• /
• v.22 no.6
• /
• pp.689-699
• /
• 2018

The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.11
• /
• pp.71-80
• /
• 2019

Purpose: The purpose of this study is to design the curriculum of Basic College Software Programming to develop creative and logical-thinking. This course is guided by algorithmic thinking and logical thinking that can be solved by computing for problem-solving, and it helps to develop by software through basic programming education. Through the stage of problem analysis, abstraction, algorithm, data structure, and algorithm implementation, the curriculum is designed to help learners experience algorithm problem-solving in various areas to develop diffusion thinking. For Learners aim to achieve the balanced development of divergent and convergent-thinking needed in their creative problem-solving skills. Research design, data and methodology: This study is to design a basic software education for improving algorithm-thinking for non-major. The curriculum designed in this paper is necessary to non-majors students who have completed the 'Creative Thinking and Coding Course' Design Thinking based are targeted. For this, contents were extracted through advanced research analysis at home and abroad, and experts in computer education, computer engineering, SW education, and education were surveyed in the form of quasi-openness. Results: In this study, based on ADD Thinking's algorithm thinking, we divided the unit college majors into five groups so that students of each major could accomplish the goal of "the ability to internalize their own ideas into computing," and extracted and designed different content areas, content elements and sub-components from each group. Through three expert surveys, we established a strategy for characterization by demand analysis and major/textbook category and verified the appropriateness of the design direction to ensure that the subjects and contents of the curriculum are appropriate for each family in order to improve algorithm-thinking. Conclusions: This study helps develop software by enhancing the ability of students who practice various subjects and exercises to explore creative expressions in various areas, such as 'how to think like a computer' that can implement and execute their ideas in computing. And it helps increase the ability to think logical and algorithmic computing based on creative solutions, improving problem-solving ability based on computing thinking and fundamental understanding of computer coding and development of logical thinking ability through programming.

• Journal of Creative Information Culture
• /
• v.6 no.2
• /
• pp.77-88
• /
• 2020

The purpose of this study is to statistically analyze the correlation between CS Unplugged education and the computational thinking of gifted and talented students. In this study, qualitative research was conducted for 17 students in 5th grade gifted class at an elementary school in the city of Yongin. Students participated in 10 hours of CS unplugged classes. Student questionnaire, class journals, student activity sheets, and student interview records were collected and qualitatively analyzed. In order to supplement the qualitative data, computational thinking ability tests were also administered. The results of the study are as follows. First, CS unplugged education plays an effective role in improving CT of gifted and talented students. Second, it was not every sub-area of CT that CS unplugged education brought statistically significant improvements in. Third, CS unplugged education is suitable to be presented as the first step of the SW curriculum for gifted and talented students.

• Proceedings of The KACE
• /
• 2018.08a
• /
• pp.121-124
• /
• 2018

본 논문에서는 비전공자 대상의 학습자 눈높이에서 흥미와 재미를 유발하고, 실제 비전공자의 컴퓨팅사고력(Computational Thinking)을 향상시키는데 콘텐츠에 따라 학생의 관심도가 달라질 수 있다는 분석결과를 보여준다. 기존의 SW교육 시스템(EPL: Education Programming Language)의 단점인 실행 중심의 SW교육 시스템에서 벗어나 실제 생활에서의 기초적인 컴퓨팅 사고 관련 예제로서 모델별 단계적 접근을 시도하면서, 실제 생활 속 컴퓨팅 사고력 기반의 문제해결력을 높일 수 있도록 피드백 방식이 비전공자 SW교육에 끼치는 영향력을 확인하였다.