• Title/Summary/Keyword: computer teaching

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An Evaluation Method of Understanding SW Architectures in an Arduino-based SW Lecture for Non-major Undergraduates (비전공자 대상 아두이노 활용 SW 강좌에서 SW 구조 이해도 평가 방법)

  • Hur, Kyeong
    • Journal of Practical Engineering Education
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    • v.11 no.1
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    • pp.17-23
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    • 2019
  • In applying SW education for non-major undergraduates, we applied the physical computing lesson using Arduino. There is a case in which the basic problem-solving process teaching method based on the computational thinking was proposed in the physical computing class using Arduino. However, in educating computational thinking process, it is necessary to evaluate and educate understanding of SW structures. After understanding SW structures, it is correct SW education flow to make creative outputs by applying computational thinking process. However, there is a lack of examples of how to evaluate understanding of SW structures in the class using Arduino. In this paper, we proposed a one - semester curriculum for lectures on SW education using Arduino for non-majors. In addition, we proposed and analyzed the evaluation method of the understanding of SW structures and the evaluation problems developed in this course.

A Developing a Teaching-Learning Model of Software Education for Non-major Undergraduate Students (비전공 학부생 대상의 SW 교육을 위한 교수-학습 모델 개발)

  • Sohn, Won-sung
    • 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.

Needs of Improving the Curriculum of National University of Education for Strengthening SW Education (SW교육 강화를 위한 교육대학교의 교육과정 개선 요구 분석)

  • Kim, Chul
    • Journal of The Korean Association of Information Education
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    • v.23 no.1
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    • pp.1-8
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    • 2019
  • In order to provide basic data necessary for developing a curriculum to enhance SW education for elementary school teacher students, a questionnaire survey was conducted on 1,260 students at G National University of Education. The results are summarized as follows. First, it is necessary to improve class time of SW education for the college students and revise the SW curriculum to improve SW education capacity for teacher students. Second, in the liberal arts course, it is necessary to develop the teaching and learning materials and the textbooks using various software. Third, in the major course, the Subject Pedagogy programs should be expanded rather than the subject content programs. Fourth, in the specialization course, the programming language education focusing on the Entry and EPL should be strengthened so that it can be linked with the elementary school curriculum. In addition, it is necessary to expand the choice of subjects for the students by reducing the number of required courses and increasing the number of elective courses.

Engineering College Students' Experience of Online Discussion Activities Using the Visual Dashboards (공과대학 학생들의 시각적 대시보드를 활용한 온라인 토론활동 경험)

  • Jin, Sung-Hee;Yoo, Mina;Kim, Tae-Hyun;Kim, Seong-Eun;Yi, Hyunbean;Choi, Haknam
    • Journal of Engineering Education Research
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    • v.24 no.1
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    • pp.24-33
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    • 2021
  • As online learning continues to be extended, many engineering colleges are engaged in online learning activities. One of the core competencies required of engineering students in a knowledge-convergence society is communication skills. Online discussion activities are frequently used in educational field to improve communication skills. Efforts are being made to provide visual dashboards in online discussion activity systems to more effectively support online discussion activities. However there is less qualitative studies on students' experience in discussion activities. The purpose of this study is to explore the experience of engineering students participating in discussion activities using online discussion systems and visual dashboards. We interviewed 15 students who participated in online discussion activities to achieve their research objectives about their experience in utilizing the online discussion system, their perception of visual dashboards, and their experience in discussion activities. As a result of the study, students' perception of the use of the online discussion activity system, the visual dashboard, and the perception of a sense of social presence were understood. To be more effective in providing tool support, such as discussion activity systems and visual dashboards in online discussion activities, instructors need to understand the nature of learners' online discussion activities.

An Analysis Study of SW·AI elements of Primary Textbooks based on the 2015 Revised National Curriculum (2015 개정교육과정에 따른 초등학교 교과서의 SW·AI 요소 분석 연구)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.317-325
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    • 2021
  • In this paper, the degree of reflection of SW·AI elements and CT elements was investigated and analyzed for a total of 44 textbooks of Korean, social, moral, mathematics and science textbooks based on the 2015 revised curriculum. As a result of the analysis, most of the activities of data collection, data analysis, and data presentation, which are ICT elements, were not reflected, and algorithm and programming elements were not reflected among SW·AI content elements, and there were no abstraction, automation, and generalization elements among CT elements. Therefore, in order to effectively implement SW·AI convergence education in elementary school subjects, we will expand ICT utilization activities to SW·AI utilization activities. Training on the understanding of SW·AI convergence education and improvement of teaching and learning methods using SW·AI is needed for teachers. In addition, it is necessary to establish an information curriculum and secure separate class hours for substantial SW·AI education.

Application and Effectiveness Analysis of Software Education Program for Computational Thinking in Early Childhood (유아의 컴퓨팅 사고력 함양을 위한 소프트웨어 교육 프로그램 적용 및 효과분석)

  • Lee, KyungHee;Koh, Eun-Hyeon;Hong, Chan-Ui;Lee, Youngseok;Moon, Eunkyung;Cho, Jungwon
    • Journal of Convergence for Information Technology
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    • v.10 no.12
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    • pp.100-109
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    • 2020
  • At the beginning of the discussion of early childhood software education, the study was conducted to apply an early childhood software education program based on computational thinking and analyze the effects of early childhood software education programs. In this study, a balanced distribution of software education, content elements and computing thinking elements was applied to achieve the ultimate goal of software education, which is to improve computing thinking. As early as possible, it's a good idea to start teaching to remind themselves how to think through experiences and play activities and to discover problems and find solutions by themselves. In the analysis results, early childhood software education program we applied affected positive impacts on software education effect, computational thinking of early childhood. Based on these results, a program was proposed for systematic early childhood software education that effective develope of computational thinking.

A study on the comparative analysis of learning effects between offline face-to-face classes and asynchronous online classes - Focusing on lecture evaluation and a final exam question in the 'HTML5 Web Programming' course (오프라인 면대면 수업과 비동기식 온라인 수업의 학습효과에 대한 비교분석 연구 - 'HTML5 웹 프로그래밍' 과목의 강의평가 및 기말고사 문항을 중심으로)

  • Kwon, Chongsan
    • Journal of Industrial Convergence
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    • v.20 no.7
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    • pp.37-50
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    • 2022
  • This study intends to analyze the learning effect of asynchronous online classes used in education fields around the world after the COVID-19 pandemic. To this end, we compared and analyzed the lecture evaluation and final exam questions of the HTML5 web programming course, which was conducted offline in 2019 and asynchronously online in 2020 due to COVID-19. As a result of the analysis, no significant difference was drawn between the two teaching methods in the lecture evaluation score and final exam score. However, contrary to concerns about the application of online classes to the entire curriculum, the lecture evaluation and final exam scores of the video-based online classes were high, suggesting the possibility that online classes could be more effective than offline classes if well organized and managed in the future.

Analysis of Research Trends Using Text Mining (텍스트 마이닝을 활용한 연구 동향 분석)

  • Shim, Jaekwoun
    • Journal of Creative Information Culture
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    • v.6 no.1
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    • pp.23-30
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    • 2020
  • This study used the text mining method to analyze the research trend of the Journal of Creative Information Culture(JCIC) which is the journal of convergence. The existing research trend analysis method has a limitation in that the researcher's personality is reflected using the traditional content analysis method. In order to complement the limitations of existing research trend analysis, this study used topic modeling. The English abstract of the paper was analyzed from 2015 to 2019 of the JCIC. As a result, the word that appeared most in the JCIC was "education," and eight research topics were drawn. The derived subjects were analyzed by educational subject, educational evaluation, learner's competence, software education and maker culture, information education and computer education, future education, creativity, teaching and learning methods. This study is meaningful in that it analyzes the research trend of the JCIC using text mining.

A Comparative Case Study of Flipped Learning in Active Learning Classroom vs. Fixed Classroom (Active Learning Classroom과 고정식 강의실에서의 플립러닝 비교 사례연구)

  • Lee, Sang-Eun;Song, Bong-Shik
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.295-303
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    • 2022
  • This study compares two cases in which flipped learning is applied in the active learning classroom (ALC) and fixed classroom of advanced engineering education. To this end, the difference in pre-learning, academic achievement, and class satisfaction between ALC and fixed classroom flipped learning were compared. The results revealed that students in ALC flipped learning watched more video lectures for pre-learning than those in the fixed classroom flipped learning and achieved higher scores on final tests, though they obtained lower points on midterm exam. In addition, examination of class satisfaction with questions about class factors, instructor factors, and overall satisfaction revealed that ALC flipped learning showed higher satisfaction in all factors than the fixed classroom flipped learning. This case study suggests that the ALC environment, a learning space built to facilitate learner-centered activities, is more effective for flipped learning that requires active interaction in the classroom.

Design of Artificial Intelligence Textbooks for Kindergarten to Develop Computational Thinking based on Pattern Recognition. (패턴인식에 기반한 컴퓨팅사고력 계발을 위한 유치원 AI교재 설계)

  • Kim, Sohee;Jeong, Youngsik
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.927-934
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    • 2021
  • AI(Artificial intelligence) is gradually taking up a large part of our lives, and the pace of AI development is accelerating. It is called ACT that develop students' computational thinking in the way artificial intelligence learns. Among ACTs, pattern recognition is an essential factor in efficiently solving problems. Pattern analysis is part of the pattern recognition process. In fact, Netflix's personalized movie recommendation service and what it named Covid-19 after repeated symptoms are all the results of pattern analysis. While the importance of ACT, including pattern recognition, is highlighted, software education for kindergarten and elementary school lower grades is much insufficient compared to foreign countries. Therefore, this study aims to design and develop textbooks for the development of artificial intelligence-based computational thinking through pattern analysis for kindergarten students.