• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.13-23
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• 2021

This study requires SW education that can adapt to the advent of the fourth industrial revolution and the new normal environment of COVID-19 pandemic. Small and powerful smartphones, which have become a necessity in digital society, are designed and applied to create apps with useful apps or artificial intelligence modules that have been trained with data using the App Inventor program as a good teaching tool. After conducting the class in a blended method that combines face-to-face and non-face methods, the survey questioned the technical and cognitive maturity of artificial intelligence and the pros and cons of blended software classes. We also found changes in career orientation, which is intended to explore SW-related talent occupations that require a lot of demand in terms of national development before and after artificial intelligence classes. Significant results were reached in three of the sub-elements. Even in non-face-to-face situations, it is expected that an app vendor software education program using artificial intelligence will be provided to the actual site.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.165-168
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• 2014

초등정보영재학생들에게 있어 스마트폰 앱의 개발은 기본적으로 자바와 같은 프로그래밍 언어 뿐만 아니라 기타 복잡한 프로그래밍 환경 등 프로그래밍에 대한 지식을 요구한다. 본 연구에서는 앱인벤터(AppInventor)를 활용하여 프로그래밍 언어를 습득하는데 걸리는 시간과 영재학생들의 인지부하를 최소화 하면서 초등정보영재학생들의 창의적 문제해결력을 향상시킬 수 있는 앱 개발 교육프로그램을 개발하고자 하였다.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.409-419
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• 2013

The aims of this paper were to review the usable possibility of the educational App Inventor Program in the field of programming education and to develop programming teaching materials that can overcome limitations of the established programming instruction. The study showed that the learners' motivations were strengthened through smart device programs. Containing the elements of STEAM, the teaching materials were developed for the logical and systematic learning that deals with elementary students' real-life situations, and that helps children follow the procedures of software development. By introducing the Waterfall Model to the process of programming, students are able to follow the software developers' thinking process. In addition, beyond the simplistic programming language and simply acquiring related knowledge, the App Inventor programming was designed to enhance students' higher-order thinking skills such as creativity, problem solving ability, collaborative thinking, and so forth.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.189-196
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• 2023

This paper analyzes the level of satisfaction of two groups of teachers who were educated about artificial intelligence using App Inventor. The participants were 13 pre-service and 9 in-service elementary school teachers and the data was collected using a questionnaire. As a result of the study, in-service teachers were all more satisfied than pre-service teachers in terms of interest, difficulty, and participation in the education. In addition, the questions investigating whether education helped motivate learning of artificial intelligence and whether there is a willingness to apply it to elementary classes in the future were also more positive for in-service teachers than for pre-service teachers. In general, pre-service teachers had somewhat more negative views than in-service teachers, but they were more positive than in-service teachers in terms of whether the education helped improve their understanding of artificial intelligence and whether they were willing to participate in additional education. Analysis of the Mann-Whitney test to see if there was a significant difference in satisfaction between the two groups showed no significance. This may be because most of the students in the two groups already had block-type or text-type programming experience, so they were able to participate in the education without any special resistance or difficulty with App Inventor, resulting in high levels of satisfaction from both groups. The results of this study can provide basic data for the future development and operation of programs for artificial intelligence education for both pre-service and in-service elementary school teachers.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.601-612
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• 2014

As the more people use smart phones, the interest in the apps gets the higher. Studies such as App Inventor, app generation methods using templates provide app development process with app development methods by substituting programming work. However, the realm of producible apps is limited and there are a lot of set up operations and input informations. Also, there is lack of support for smart phone sensors that are in a high demand of utilization. This paper proposed an android app development method for resolving existing problems, and implemented an accompanying app development tool. When the proposed app development method derived through combination of function modules and sensor modules is used, it's possible to produce apps with minimal user inputs, and to use sensors easily. Also, because it is simple to identify overall flow of app execution, and functions addible to the app are provided for users by units of module, it is possible to develop apps quickly.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.515-517
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• 2015

본 연구는 블록 형태의 프로그래밍 툴인 앱 인벤터를 이용해 학생들의 학업에 대한 정보와 궁금증을 해결해 줄 수 있는 인터넷 강의평가 앱 개발을 연구하였다. 앱을 개발하는 과정에서 웹 데이터베이스와 구글 퓨전 테이블을 이용하여 로그인 기능과 사용자들에게 공유하여 볼 수 있는 게시판 기능을 추가하였다. 이 기능을 통하여 사용자간에 정보를 공유하여 인터넷강의 선정에 정보제공 방법을 연구하였다.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.725-734
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• 2021

To prevent tire accidents, we developed an application that can check tire safety using the app-inventor and the bluetooth communication. The temperature sensor measures ambient temperature, the pressure sensor measures tire pressure, the laser sensor has a distance of more than 50mm, and an angle of 45° to measure for the optimal tire. We have developed an application that determines tire condition based on measured wear and tear levels, works through the Bluetooth module via App Inventor, and identifies tire condition and expected replacement condition on the user's mobile phone.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.213-221
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• 2021

In this study, an simulation app was developed as one of the methods to help learners better understand the eight process scheduling policies of multi-programming. In learning, an app in the form of a simulation should provide a realistic environment and allow learners to practice. To do this, the needs of the learners were investigated and analyzed, and the purpose was set, designed, and programmed based on the learners' understanding. And it was shown that the apps as a tool to simulate the created eight scheduling policies are performing well. In particular, it was shown that the problem of not having a step-by-step various diagram and explanation for step-by-step various inputs, which is a limitation of paper textbooks, can be solved using these tools.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.275-282
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• 2024

This paper proposes an app-based feeder that performs functions such as distributing food and measuring exercise amount and a wearable collar that measures activity level to manage pet obesity in modern society where the obesity rate of pets is increasing. The wearable collar measures the pet's activity level and suggests the appropriate amount of food based on the average daily activity level. We studied an app-based pet feeding system that can provide the appropriate amount of feed per day through an app to enable obesity management even in unexpected situations.