• 한국수학교육학회지시리즈E:수학교육논문집
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• 제36권4호
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• pp.611-626
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• 2022

본 연구에서는 교육부가 고심하는 '수학울렁증(Mathematics Anxiety, 수학불안)' 문제를 근본적으로 해결하는 하나의 대안으로, 2022년 1학기 S대학에서 직업계 고등학교를 졸업한 재직자 신입생 20명을 대상으로 'Math & 코딩(Coding)'을 적용하여 운영한 대학 미분적분학 강좌 사례를 소개한다. 본 강좌에서는 'Math & 코딩'으로 쉽고 빠르게 중·고등학교 수학을 복습할 수 있는 콘텐츠와 대학 미분적분학 콘텐츠 및 교재를 새로 개발하여 활용하였다. 이를 통해 스스로 '수학울렁증'이 있다고 여기던 학생들은 코드를 활용하여 문제를 해결하면서 복잡한 계산에 대한 부담을 덜게 되었고, 대신 확보한 시간을 수학 개념에 대해 동료 및 교수자와 토론하면서 미분적분학을 충분히 이해할 수 있게 되었다. 그 결과 본 강좌를 수강한 대부분의 학생들은 미분적분학 교재에 있는 거의 모든 문제를 지필로 또는 코드를 활용하여 해결할 수 있다고 자신있게 이야기 하였고, 미분적분학에서 다루는 주요 개념에 대해서도 자신의 언어로 충분히 설명할 수 있다고 하였다. 이와 같이 대학의 수학강좌 교수학습과정에서 'Math & 코딩' 방식을 적절하게 활용한다면, 수학적 배경이 약한 학생들과 이전에 수학을 포기했었던 학생들을 대상으로 대학에서 다시 수학에 대한 자신감을 회복시키는 것이 가능하다고 여겨지며, 중등수학교육에서도 'Math & 코딩' 접근방식을 충분히 적용해 볼 수 있다고 생각한다.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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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.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.319-327
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• 2022

Robots for construction sites, although not deeply widespread, are finding applications in the duties of project monitoring, material movement, documentation, security, and simple repetitive construction-related tasks. A significant shortcoming in the use of robots is the complexity involved in programming and re-programming an automation routine. Robotic programming is not an expected skill set of the traditional construction industry professional. Therefore, this research seeks to deliver a low-cost approach toward re-programming that does not involve a programmer's skill set. The researchers in this study examined an approach toward programming a terrestrial-based drone so that it follows a taped path. By doing so, if an alternative path is required, programmers would not be needed to re-program any part of the automated routine. Changing the path of the drone simply requires removing the tape and placing a different path - ideally simplifying the process and quickly allowing practitioners to implement a new automated routine. Python programming scripts were used with a DJI Robomaster EP Core drone, and a terrain navigation assessment was conducted. The study examined the pass/fail rates for a series of trial run over different terrains. The analysis of this data along with video recording for each trial run allowed the researchers to conclude that the accuracy of the tape follow technique was predictable on each of the terrain surfaces. The accuracy and predictability inform a non-coding construction practitioner of the optimal placement of the taped path. This paper further presents limitations and suggestions for some possible extended research options for this study.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.387-388
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• 2023

본 논문에서는 인공지능(AI) 체험부터 초중등, 대학 및 평생교육에서 필요한 광범위한 응용과 활용을 할 수 있는 라이브러리를 디지털북 형태로 지원하며, 블록과 텍스트 코딩의 장점을 취합해 입문자들이 쉽고 재미있게 SW·AI 융합 교육을 할 수 있는 플랫폼을 구현하였다. 플랫폼은 웹어셈블리 기반의 파이오다이드를 통해 웹 브라우저에서 파이썬 코딩을 가능하게 하고 복잡한 설치과정 없이 쉽게 이용이 가능하다. 다양한 LMS와 연동이 가능하도록 API를 제공하며, Drag & Fill 블록으로 입문자가 코딩에 겪는 어려움 중 하나인 많은 양의 함수와 파라미터 사용법의 어려움을 해소하였다. 플랫폼은 블록으로 코딩하여 문법의 어려움, 오탈자, 오류 등을 줄이는 동시에 블록에서 생성되는 파이썬 텍스트 코드로 입문자가 텍스트 코드에 익숙해질 수 있는 경험을 제공한다.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.163-169
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• 2024

India is a developing nation and has come with comprehensive way in modernizing its reducing poverty, economy and rising living standards for an outsized fragment of its residents. The STEM (Science, Technology, Engineering, and Mathematics) education plays an important role in it. STEM is an educational curriculum that emphasis on the subjects of "science, technology, engineering, and mathematics". In traditional education scenario, these subjects are taught independently, but according to the educational philosophy of STEM that teaches these subjects together in project-based lessons. STEM helps the students in his holistic development. Youth unemployment is the biggest concern due to lack of adequate skills. There is a huge skill gap behind jobless engineers and the question arises how we can prepare engineers for a better tomorrow? Now a day's Industry 4.0 is a new fourth industrial revolution which is an intelligent networking of machines and processes for industry through ICT. It is based upon the usage of cyber-physical systems and Internet of Things (IoT). Industrial revolution does not influence only production but also educational system as well. IoT in academics is a new revolution to the Internet technology, which introduced "Smartness" in the entire IT infrastructure. To improve socio-economic status of the India students must equipped with 21st century digital skills and Universities, colleges must provide individual learning kits to their students which can help them in enhancing their productivity and learning outcomes. The major goal of this paper is to present a low cost, effective learning mechanism for STEM implementation using Raspberry Pi 3+ model (Single board computer) and Node Red open source visual programming tool which is developed by IBM for wiring hardware devices together. These tools are broadly used to provide hands on experience on IoT fundamentals during teaching and learning. This paper elaborates the appropriateness and the practicality of these concepts via an example by implementing a user interface (UI) and Dashboard in Node-RED where dashboard palette is used for demonstration with switch, slider, gauge and Raspberry pi palette is used to connect with GPIO pins present on Raspberry pi board. An LED light is connected with a GPIO pin as an output pin. In this experiment, it is shown that the Node-Red dashboard is accessing on Raspberry pi and via Smartphone as well. In the final step results are shown in an elaborate manner. Conversely, inadequate Programming skills in students are the biggest challenge because without good programming skills there would be no pioneers in engineering, robotics and other areas. Coding plays an important role to increase the level of knowledge on a wide scale and to encourage the interest of students in coding. Today Python language which is Open source and most demanding languages in the industry in order to know data science and algorithms, understanding computer science would not be possible without science, technology, engineering and math. In this paper a small experiment is also done with an LED light via writing source code in python. These tiny experiments are really helpful to encourage the students and give play way to learn these advance technologies. The cost estimation is presented in tabular form for per learning kit provided to the students for Hands on experiments. Some Popular In addition, some Open source tools for experimenting with IoT Technology are described. Students can enrich their knowledge by doing lots of experiments with these freely available software's and this low cost hardware in labs or learning kits provided to them.

• Asian-Australasian Journal of Animal Sciences
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• 제33권5호
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• pp.696-703
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• 2020

Objective: Cattle were some of the first animals domesticated by humans for the production of milk, meat, etc. Long noncoding RNA (lncRNA) is defined as longer than 200 bp in nonprotein coding transcripts. lncRNA is known to function in regulating gene expression and is currently being studied in a variety of livestock including cattle. The purpose of this study is to analyze the characteristics of lncRNA according to sex in Hanwoo cattle. Methods: This study was conducted using the skeletal muscles of 9 Hanwoo cattle include bulls, steers and cows. RNA was extracted from skeletal muscle of Hanwoo. Sequencing was conducted using Illumina HiSeq2000 and mapped to the Bovine Taurus genome. The expression levels of lncRNAs were measured by DEGseq and quantitative trait loci (QTL) data base was used to identify QTLs associated with lncRNA. The python script was used to match the nearby genes Results: In this study, the expression patterns of transcripts of bulls, steers and cows were identified. And we identified significantly differentially expressed lncRNAs in bulls, steers and cows. In addition, characteristics of lncRNA which express differentially in muscles according to the sex of Hanwoo were identified. As a result, we found differentially expressed lncRNAs according to sex were related to shear force and body weight. Conclusion: This study was classified and characterized lncRNA which differentially expressed by sex in Hanwoo cattle. We believe that the characterization of lncRNA by sex of Hanwoo will be helpful for future studies of the physiological mechanisms of Hanwoo cattle.

• 디지털융복합연구
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• 제15권7호
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• pp.55-64
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• 2017

본 연구의 목적은 프로그래밍을 처음 접하는 학습자들의 어려움을 파악하여 비전공 대학생들을 위한 대학 교양기초 소프트웨어교육 운영 방안을 모색하는 데 있다. 이를 위해 다양한 전공자들로 구성된 H 대학의 파이썬 프로그래밍 수업에서 수업시간 전 온라인으로 제출한 수강생들의 질문과 수업 후 설문조사를 통하여 체감난이도와 체감이해도를 분석하였다. 비전공자들을 위한 효율적인 수업을 위해 플립드 수업으로 진행하였으며, 오프라인 수업에서는 사전질문을 활용한 학습자 맞춤형 피드백 방식 강의로 진행하였다. 분석결과 프로그래밍 수업을 처음 접하는 학습자들을 위해서는 컴퓨터 언어의 기본개념을 배우기 전에 교육과정 초반에 문제 파악을 통한 논리적인 추상화 과정을 배정하고, 코딩 실습 전에 단원마다 그에 대한 이해를 돕는 상향식(bottom-up) 문제풀이를 통한 충분한 연습이 필요하다. 또한, 학습자의 전공계열 및 수업 내용과 학습자의 진행 단계를 반영한 정밀한 교육과정 설계가 선행되어야 한다.

• 한국항행학회논문지
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• 제27권5호
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• pp.552-560
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• 2023

항공기 공중 충돌사고는 대규모 인명 피해를 초래할 수 있는 위험한 사건이다. 이를 예방하기 위해 민간 항공에서는 TCAS(traffic alert and collision avoidance system) 장착을 의무화하였으며, 새로운 기술의 도움을 받아 더욱 정밀하게 발전하고 있다. 한국에서 개인적으로 TCAS 연구를 위한 데이터를 수집하는데는 절차적인 어려움이 있다. 이를 해결하기 위해 ADS-B(automatic dependent surveillance-broadcast)와 Mode-S(mode-select)를 활용하면 TCAS RA(resolution advisory)의 정보 획득이 가능하다. ADS-B Exchange와 Opensky-Network에서 보관중인 데이터베이스를 제공받아 연구에 활용하였으며, 3건의 TCAS RA 발생 사례를 시각화하였다. 또한 2023년 전반기 국내 TCAS RA 발생사례를 분류한 후 그 특징을 분석하였다. 이를 통해 ADS-B와 Mode-S 데이터의 유효성을 확인하고, 발전방향을 모색하였다.