• Title/Summary/Keyword: Text programming

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Design and Implementation of Self-Directed Courseware to Study Web Programming (웹 프로그래밍 학습을 위한 자기주도적 코스웨어의 설계 및 구현)

  • Chung, Yoo-Jin;Park, Eun-Hee
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.453-461
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    • 2009
  • In this paper, we design and implement a web-based courseware where learners can do self-directed learning to study Web programming languages such as Html, CSS, JavaScript and Dhtml. Each section consists of text class, movie class, practice class, formative assessment, laboratory and bulletin board. And our courseware makes teachers to teach, assess and give scores to learners on Web. In our Web courseware, learners can play a movie class and practice Web programming codes in one screen simultaneously, and execute codes and confirm a results in the same screen also. Therefore, learners can understand Web programming languages efficiently, which are hard to understand immediately by text.

Development of a C-Language Learning Tool using Console Wrapper (Console Wrapper를 활용한 C언어 학습도구 개발)

  • Hwang, Giu-Duck;Choi, Sook-Young
    • Journal of Digital Convergence
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    • v.7 no.3
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    • pp.113-122
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    • 2009
  • The majority of programming education in the learning place attaches importance more to grammar, memorization of the imperative sentence and explanation of the program language itself than the specific way to use the target language. In addition, it is mainly used to teach theoretical knowledge based on the text. Consequently, current programming education has not interested learners in the programming learning and has not improved their ability in programming problems of the real world. We therefore developed a learning tool of C-language, which is based on the Console Wrapper. The purpose of proposing the learning tool was to make the programming education break from the typical theoretical learning and to let learners be interested in the programming education. By using the dynamic screen instead of the static console screen, the learners could enjoy learning the program. As a result of this study, we could know that the programming education using our learning tool is more effective than the typical C language programming education.

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Development of computational thinking based Coding_Projects using the ARCS model (ARCS 모형을 적용한 컴퓨팅사고력 기반 코딩 프로젝트 개발)

  • Nam, Choong Mo;Kim, Chong Woo
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.355-362
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    • 2019
  • Elementary students are studying software training to teach coding education using text-based languages such as Python. In general, these higher-level languages support learning activities in combination with a kits for physical computing or various programming languages, in contrast to block-coding programming languages. In this study, we conducted a coding project based on computational thinking using the ARCS model to overcome the difficulties of text-based language. The results of the experiment show that students are generally confident and interested in programming. Especially, the understanding of repetition, function, and object was high in the change of computational thinking power, so this trend is believed to be due to the use of text-based languages and the Python module.

A Visual Programming Environment on Tablet PCs to Control Industrial Robots (산업용 로봇 제어를 위한 태블릿 PC 기반의 비주얼 프로그래밍 연구)

  • Park, Eun Ji;Seo, Kyeong Eun;Park, Tae Gon;Sun, Duk Han;Cho, Hyeonjoong
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.2
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    • pp.107-116
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    • 2016
  • Industrial robots have been usually controlled using text-based programming languages provided by each manufacturer with its button-based TP(Teaching Pendent) terminal. Unfortunately, when we consider that people who manipulate TPs in manufacturing sites are mostly unskilled with no background knowledge about computer programming, these text-based programming languages using button-based interaction on manufacturing sites are too difficult for them to learn and use. In order to overcome the weaknesses of the text-based programming language, we propose a visual programming language that can be easily used on gesture-enabled devices. Especially, in our visual programming environment, each command is represented as a block and robots are controlled by stacking those blocks using drag-and-drop gestures, which is easily learnable even by beginners. In this paper, we utilize a widely-spread device, Tablet PC as the gesture-enabled TP. Considering that Tablet PC has limited display space in contrast to PC environments, we designed different kinds of sets of command blocks and conducted user tests. Based on the experiment results, we propose an effective set of command blocks for Tablet PC environment.

Development of Python Instructional Model Using Robot for Elementary Students (초등학생을 위한 로봇 활용 파이썬 학습 모형 개발)

  • Park, DaeRyoon;Yoo, InHwan
    • Journal of The Korean Association of Information Education
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    • v.22 no.3
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    • pp.357-366
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    • 2018
  • The Code Block Based Educational Programming Language(EPL) is the mainstream tool for software education for elementary students. However, Code Block Based EPL has limitations in scalability, even though there are many advantages as an introductory tool for software education. In this study, we searched the approach of SW education using Python, which is a text-based programming language actively used in real industrial field. We developed a learning program and model using Python and applied it to the sixth grade elementary school students for 10 hours. As a result, we found that the robot-based Python learning model had a significant effect on improving students' thinking skills and confirmed the applicability of text-based programming language to elementary school students.

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).

Implementation of Estimation and Inference on the Web

  • Kang, Heemo;Sim, Songyong
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.913-926
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    • 2000
  • An electronic statistics text on the web is implemented. The introduced text provide interactive instructions on the statistical estimation and inference. As a by-product, we also provide a calculation of quantiles and p-value of t-distribution and standard normal distribution. This program was written in JAVA programming language.

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A study on unstructured text mining algorithm through R programming based on data dictionary (Data Dictionary 기반의 R Programming을 통한 비정형 Text Mining Algorithm 연구)

  • Lee, Jong Hwa;Lee, Hyun-Kyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.2
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    • pp.113-124
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    • 2015
  • Unlike structured data which are gathered and saved in a predefined structure, unstructured text data which are mostly written in natural language have larger applications recently due to the emergence of web 2.0. Text mining is one of the most important big data analysis techniques that extracts meaningful information in the text because it has not only increased in the amount of text data but also human being's emotion is expressed directly. In this study, we used R program, an open source software for statistical analysis, and studied algorithm implementation to conduct analyses (such as Frequency Analysis, Cluster Analysis, Word Cloud, Social Network Analysis). Especially, to focus on our research scope, we used keyword extract method based on a Data Dictionary. By applying in real cases, we could find that R is very useful as a statistical analysis software working on variety of OS and with other languages interface.

Improving Elasticsearch for Chinese, Japanese, and Korean Text Search through Language Detector

  • Kim, Ki-Ju;Cho, Young-Bok
    • Journal of information and communication convergence engineering
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    • v.18 no.1
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    • pp.33-38
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    • 2020
  • Elasticsearch is an open source search and analytics engine that can search petabytes of data in near real time. It is designed as a distributed system horizontally scalable and highly available. It provides RESTful APIs, thereby making it programming-language agnostic. Full text search of multilingual text requires language-specific analyzers and field mappings appropriate for indexing and searching multilingual text. Additionally, a language detector can be used in conjunction with the analyzers to improve the multilingual text search. Elasticsearch provides more than 40 language analysis plugins that can process text and extract language-specific tokens and language detector plugins that can determine the language of the given text. This study investigates three different approaches to index and search Chinese, Japanese, and Korean (CJK) text (single analyzer, multi-fields, and language detector-based), and identifies the advantages of the language detector-based approach compared to the other two.

The Development of an Educational Robot and Scratch-based Programming

  • Lee, Young-Dae;Kang, Jeong-Jin;Lee, Kee-Young;Lee, Jun;Seo, Yongho
    • International journal of advanced smart convergence
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    • v.5 no.2
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    • pp.8-17
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    • 2016
  • Scratch-based programming has come to be known as an effective programming tool because of its graphic instruction modules, which are designed to be assembled like the famous LEGO building blocks. These building block-like structures allow users to more easily program applications without using other more difficult programming languages such as C or Java, which are text-based. Therefore, it poses a good opportunity for application in educational settings, especially in primary schools. This paper presents an effective approach to developing an educational robot for use in elementary schools. Furthermore, we present the method for scratch programming based on the external modules need for the implementation of robot motion. Lastly, we design a systematic curriculum, titled "Play with a Robot," and propose guidelines to using the educational programming language Scratch.