• Title/Summary/Keyword: computational thinking

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Exploration of the application possibility of curriculum with mathematical modeling through coding activities

  • Kim, Dong-Joong;Kim, Won;Jung, Jae young;Choi, Sang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.2
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    • pp.241-250
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    • 2020
  • In this paper, we propose a direction of teaching method for future generations. In order to suggest such the direction, teaching and learning materials that integrate coding activities and mathematical modeling were developed through top-down and bottom-up processes. Coding and engineering experts and mathematics education experts developed teaching and learning materials through councils (top-down courses) and applied them to 24 high school first graders based on student responses (bottom-up courses). Additionally, the developed curriculum helped students increase interest and motivation and realize conceptual understanding, problem posing, and problem solving in mathematics. On the basis of these results, it provided an idea about how to develop curriculum combining mathematical modeling with coding activities, needed for the fourth industrial revolution.

Case Study on Problem-based Programming Classes in Software Education for Non-Computer Science Majors

  • Seo, Joo-Young;Shin, Seung-Hun
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.213-222
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    • 2020
  • Recently, as awareness of the need for software education has spread worldwide, the government of Korea has led compulsory software education also. Basic software education in universities has been stabilized through various trials and efforts. However, due to software classes are mandatory, students not only could not have motivation for learning but also have treated programming course as a difficult subject. In this paper, two programming classes, which were designed and managed as a problem-oriented programming class for the purpose of cultivating computational thinking for the non-computer science students, are compared using the lecture assessment results. As a result, in the case of expanding the use of the problem as a grammatical explanation aid and expanding the ratio of major-friendly problems, the student's responses were concentrated on higher scores and the response average improved by about 7%. It means that the level of difficulty experienced by learners is lowered.

A Analysis of SW Experience in AI Basic Liberal Arts Education (AI기초교양교육에서 SW경험에 따른 학습자 분석)

  • Oh, Kyungsun;Jang, Eunsill
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.769-778
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    • 2021
  • Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

Development of Elementary Machine Learning Education Program to Solve Daily Life Problems Using Sound Data (소리 데이터를 기반으로 일상생활 문제를 해결하는 초등 머신러닝 교육 프로그램 개발)

  • Moon, Woojong;Ko, Seunghwan;Lee, Junho;Kim, Jonghoon
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.705-712
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    • 2021
  • This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.

An Exploratory Study on Teaching & Learning and Evaluation Methods using Beaver Challenge in Software Education (소프트웨어 교육에서 비버챌린지를 활용한 교수·학습 및 평가 방법 탐색)

  • Jeon, YongJu;Jung, Ungyeol;Kim, Injoo;Kim, Jihyea;Lee, Hyuna;Kim, Dongyun
    • The Journal of Korean Association of Computer Education
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    • v.21 no.6
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    • pp.63-82
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    • 2018
  • In the 2015 revised curriculum, software (SW) education was strengthened to cultivate computational thinking. In the curriculum of practical course at elementary school and of informatics course at secondary school, the characteristics, and content systems of SW education have developed systematically. However, it is necessary to study practical methods and cases for SW education because the curriculums provide only note and direction about teaching & learning, and evaluation methods for SW education. The purpose of this study is to analyze the achievement standards of the SW curriculum in the tasks of Bebras Challenge 2017 and to suggest various methods of teaching and learning, and of evaluation using the Bebras tasks. The results of this study are expected to propose a basis to develop various teaching and learning and evaluation researches.

The Analysis of Learning Demotivation according to Gender and Programming Subjects in Programming Class' Students of Liberal Arts (기초교양필수 프로그래밍 수업에서 성별과 프로그래밍 과목에 따른 수강생의 학습이탈동기 분석)

  • You, Kangsoo;Kim, Semin;Hong, Kicheon;Choi, Sookyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.704-710
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    • 2019
  • Programming learning has been recognized as a difficult subject for a long time. To solve these problems, various studies have been conducted. This study was conducted on motivation to break away from programming learning according to gender, one of the characteristics of learners. In this study, pre-post questionnaire surveys were conducted for male students and female students who were involved in scratch learning and Python learning. The results of the study showed that male students had higher confidence in programming learning than female students, but there was no significant difference in overall items. In addition, it was possible to find the difference in motivation to break out from the learning according to the major of students by gender. Through this study, it is expected that it will be helpful to prepare learning strategies to enhance learning motivation and satisfaction by considering learner characteristics in programming learning.

The Analysis of Resilience of Programming Class' Students for Basic Liberal Arts (기초교양필수 과목인 스크래치와 파이썬 프로그래밍 과목 수강생의 회복탄력성 분석)

  • Kim, Semin;You, Kangsoo;Hong, Kicheon;Cho, Youngbok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.801-806
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    • 2019
  • Recently, each university has been lecturing a lot on the liberal arts subject by emphasizing software education. However, students are often motivated by the difficulty of learning programming, the inability to recognize why they should learn programming, or even the fact that they do not try. The reason for the resilience is to guide programming learning to have the power to recover from the point of abandonment to proceed with the learning again. In this study, recovery elasticity pre-post-examination was conducted on the parts that learned scratches and those that learned Python. Studies have shown that while Scratch appears to be trying to accept and work harder, Python has been relatively more difficult than Scratch. It is expected that this study will help identify the factors that can sustain programming learning.

Analysis of Bebra Challenge Results through Algorithm Education (알고리즘 교육을 통한 비버챌린지 결과 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.23 no.1
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    • pp.65-72
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    • 2019
  • As the importance of SW education grows, researches are actively being conducted to improve students' thinking skills. We conducted the group III tasks, which are experiencing and challenging in Beaver Challenge 2018, on 55 students of 5th grade in elementary school. Based on the result, we analyzed their average scores and defined whether each test has a correlation with possession of smartphone, computer familiarity, patience, concentration, and academic ability. The result indicated challenging task boosted the average score, the percentage of correct answers, and the percentage of correct answers for each level of difficulty. Moreover, the challenge task scores were higher as they higher computer familiarity, patience and concentration level. However, possession of smartphones and academic ability did not affect the score. Lastly, the scores were affected by different factors in different level of difficulty that patience factor in advanced level, computer familiarity factor in intermediate level, and concentration factor in beginner level. Thus, further researches are necessary to be conducted to expand the scope of the analysis through the diversification of test subject group and expansion of an evaluation area.

Exploring the direction of granular basic-software education considering the major of college students (대학생의 전공계열을 고려한 세분화된 기초SW교육 방향 탐색)

  • Kim, Wanseop
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.329-341
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    • 2019
  • Computer education in universities has been expanded and specialized from ICT-based education in recent years to software education such as computational thinking and programming. Especially, as the 4th Industrial Revolution is emphasized in all fields of society, software education, which is its core, is being applied as an essential liberal arts course in universities. In the case of basic SW education for all students, it is necessary to provide differentiated education that is suitable for students because their special characteristics are different. In this study, we conducted a basic SW course for general liberal arts at A-university in Seoul and analyzed the survey data from 4,927 students for about 3 years, and classified the major series and searched the appropriate education method for each subdivided group. Through the analysis, we were able to find characteristic groups such as business and commerce, art and sports major. Finally, six groups for basic-SW education are presented. Educational directions such as programming language and level of difficulty setting suitable for differentiated education are presented for each group.

Digital Contents for Learning Computer Science using Unplugged CS

  • Han, Sun-Gwan
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.37-43
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    • 2019
  • This study focused on the design and development of contents using Unplugged CS method to learn computer science knowledge. With the strengthening of software education, all universities students including elementary and junior high school students are demanding knowledge of computer science centered on the computational thinking. We have developed educational contents using unplugged computing method as a way to effectively learn the concept of computer science. First, we analyze the related research of Unplugged CS theory and investigate the educational method accordingly. And we divided the areas of computer science and selected learning concepts in each area. The contents of learning were divided into basic and intermediate classes considering the level of the learner. The subject of learning contents was selected evenly in the area of computer science and it consisted of 16 basic subjects and 16 intermediate subjects based on concepts that are important in each field. In order to confirm the validity of the Unplugged CS learning topic and the development contents for computer science, we conducted expert reviews and content validity tests. As a result of the validity test, the validity of the learning topic and area selection was found to be more than .92 for the CVI value and the validity of the 32 subject learning contents was over .935 in basic level and .925 in intermediate level for the CVI values. Based on the design contents, we developed digital contents for online learning and put them in the system. We expect that this study will contribute to the understanding of computer science for all, including elementary and junior-high school students as well as students at software - oriented universities, and contribute to the spread of software education.