• Title/Summary/Keyword: Software Basic Education

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Contents Analysis of Basic Software Education of Non-majors Students for Problem Solving Ability Improvement - Focus on SW-oriented University in Korea - (문제해결력 향상을 위한 비전공자 소프트웨어 기초교육 내용 분석 - 국내 SW중심대학 중심으로 -)

  • Jang, Eunsill;Kim, Jaehyoun
    • Journal of Internet Computing and Services
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    • v.20 no.4
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    • pp.81-90
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    • 2019
  • Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

Analysis of Changes of Digital Mind by the Class Type in Basic Software Education for the Students of Humanities (소프트웨어 기초 교육에서 수업 방식에 의한 인문대학생의 디지털 마인드 변화 분석)

  • Seo, Joo-Young;Shin, Seung-Hun;Goo, Eun-Hee
    • Journal of Digital Convergence
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    • v.15 no.9
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    • pp.55-64
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    • 2017
  • As the importance of software has become more widely recognized, many Korean universities are designating software classes as an essential subject. However, there is a difficulty in achieving the educational goal because the education is done without sufficient understanding of the non-Major learner. Therefore, in this paper, we analyze the opinions of the humanities college students who have taken the software basic education course and confirm the changes of the students' digital minds. Based on this, we suggest considerations for the basic software education for non-Majors. The results of the analysis show that pre-admission software education does not contribute much to university education, while students respond positively to the practice-based education using student-oriented project subjects. Therefore, it is desirable to provide an environment where learners can gradually develop their digital minds by providing students with more software access opportunities based on hands-on practice in basic software education for non-Majors.

A Study on the Determination of Programming Language for Software Basic Education of Non-majors (비전공자 소프트웨어 기초교육을 위한 프로그래밍 언어 결정에 관한 연구)

  • Park, So Hyun
    • The Journal of Information Systems
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    • v.28 no.4
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    • pp.403-424
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    • 2019
  • Purpose The objective of this study is to determine the programming language for improving algorithmic thinking of basic software education for non-majors, which has recently been receiving attention to nurture talents needed in the era of the Fourth Industrial Revolution. Design/methodology/approach In this study, Delphi method was used to select the suitable programming language for the features of each of five departments for basic software education for non-majors in order to develop the capability of algorithmic thinking. The survey was conducted three times to 21 experts, and the results were analyzed using quantitative analysis (CVR) values and stability. Findings For the most suitable programming language for each department determined in this study, App Inventor was selected for humanities department, RUR-PLE for natural science department, App Inventor for social science department, Python for engineering department, and Scratch for fine arts department. This is expected to be used as the basis for determining the direction of curriculum and operation of universities starting basic software education through programming language by department proposed in this study.

A Study on AI basic statistics Education for Non-majors (비전공자를 위한 AI기초통계 교육의 고찰)

  • Yoo, Jin-Ah
    • Journal of Integrative Natural Science
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    • v.14 no.4
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    • pp.176-182
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    • 2021
  • We live in the age of artificial intelligence, and big data and artificial intelligence education are no longer just for majors, but are required to be able to handle non-majors as well. Software and artificial intelligence education for non-majors is not just a general education, it creates talents who can understand and utilize them, and the quality of education is increasingly important. Through such education, we can nurture creative talents who can create and use new values by fusion with various fields of computing technology. Since 2015, many universities have been implementing software-oriented colleges and AI-oriented colleges to foster software-oriented human resources. However, it is not easy to provide AI basic statistics education of big data analysis deception to non-majors. Therefore, we would like to present a big data education model for non-majors in big data analysis so that big data analysis can be directly applied.

Study on Method to activate Computer Assisted Education at Elementary Education Stage (초등교육에서의 컴퓨터 교육 활성화 방안에 관한 연구)

  • Kim, Dong-Jhoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2009.01a
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    • pp.485-492
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    • 2009
  • The purpose of this study is to allow all of the instructors including field instructors to understand relation between school education and computer, generalize and analyze basic data required to acquire basic knowledge to help utilizing the computer for education and seek for understanding. This study intented to present a method to activate computer education focused on utilization education at the elementary education stage. Accordingly, those computer educations on middle/high schools and universities and through social educations have been excluded from the object of the study. In order to conduct fruitful computer education, several supporting systems should be equipped completely such as teachers, facilities, software, etc. Especially, practical experience of using computer is the most important element in the computer education, every school should be equipped with computers to prepare for its generalization. Roles of the teachers have also very important influence on it. Research and development of education software require expert knowledge and enormous time and effort and the developed software should be followed by the systematic evaluation on its quality.

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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.

Case Study on Global Software Education in Schools

  • Kil, Hyun-Young
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.9
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    • pp.151-160
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    • 2019
  • With the advent of the Fourth Industrial Revolution, software(SW) education has become a necessity, not a choice of those who live in the digital age. Recently, many countries around the world have been actively promoting software education based on Computational Thinking(CT) for K-12 students, so software education in schools has bigger meaning as basic literacy education of future digital generation rather than coding skills. However, the integration of software education as a formal curriculum in schools is still ongoing in even other countries. Korea is also pursuing software education, but it is in the beginning stage. Therefore, we need to study the cases of other countries that have already started software education at the national level. In this paper, we first investigate the software education cases of three countries, e.g., UK, France and China with a respect of background & educational objective, development stage, and curriculum and we suggest education policies that software education can settle in Korea schools to foster a creative talented people.

Design of Algorithm Thinking-Based Software Basic Education for Nonmajors (비전공자를 위한 알고리즘씽킹 기반 소프트웨어 기초교육 설계)

  • PARK, So-Hyun
    • The Journal of Industrial Distribution & Business
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    • v.10 no.11
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    • pp.71-80
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    • 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.

A Study on Software Education Donation Model for the Social Care Class

  • Lee, Won Joo
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.239-246
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    • 2019
  • In this paper, we propose an effective software education donation model for the social care class. The types of software education for elementary, middle, and high school for the social care class are in the order of after school classes, club activities, creative experiences, and regular classes. In elementary school students, it is effective to precede visual programming education based on block coding and to conduct curriculum convergence with SW and HW at the beginning, and high school students are carrying out text programming education like Python. Software education for social care class The contribution activity model can be classified into five types such as geographically difficult area, multicultural family areas, orphanage, reformatory, and basic livelihood security recipient. In addition, the survey results show that the students' interest in software education and their satisfaction are all very high at 96%. Effective software education for the social care class In the donation model, the lecturers consist of responsible professors, lecturers, and assistant instructors. Software training for the social care class is effective on a year-by-year basis, so that students can feel authenticity and trust. Software education contents focus on visual programming and physical computing education in elementary or middle school, and text programming and physical computing education in high school. It is necessary to construct a software education donor matching system that helps efficient management of software education donations by efficiently matching schools (consumers: elementary, middle, high school) and software education donors(suppliers).

The Perspective of Elementary School Teachers on Implementation of AI Education in relation to Software Training Experience (소프트웨어 학습경험에 따른 초등교사의 인공지능교육 도입에 대한 인식)

  • Lee, Yong-Bae
    • Journal of The Korean Association of Information Education
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    • v.25 no.3
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    • pp.449-457
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    • 2021
  • Ministry of education recently announced to implement AI curriculum in elementary, middle school and highschool from 2025 which will include programing, basic AI principal and AI Ethics, and the media is releasing articles that have reservations on it. This study is focused on analyzing the perspective of elementary teachers - who are going to be in charge of AI education - on the implementation of AI education in elementary schools and the teachers are divided into two groups of 'software-experienced' and 'software-inexperienced' in relation to software training background. The results showed that 100% of the 'software-experienced' teachers agreed on implementing AI education and 80% of 'software-inexperienced' teachers also showed positive perspective on it. Among the reasons that 20% of 'software-inexperienced' teachers had negative perspective on AI education, it was highly rated that existing home economics subject covers fulfilling amount of software education. Both 'software-experienced' and 'software-inexperienced' teachers chose grade 5 and 6 as the most appropriate age for software education and considered one class per a week as the most appropriate amount of AI class. In terms of the subject format, 75% of the 'software-experienced' teachers chose the idea that software education has to be an independent school subject which will include AI education. Also, 54% of the 'software-inexperienced' teachers chose the ideas either AI education should be an independent subject or software education should be an independent subject which will include AI education. The preference of the content of AI education appeared in order of basic AI programing, principles of AI and AI Ethics.