• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.519-526
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• 2016

MIT App Inventor 2, much like the other block-based programming languages such as Scratch and Alice, is a useful tool that can be utilized to improve the computational thinking skills for students. The coding and the execution of program are done mainly on the computer in Scratch programming, but in App Inventor 2 programming, the students can execute the program and get immediate feedback on the smart-phone in the middle of the programming. Therefore, we can expect better enhanced learning effect. In this study, it has been claimed that the learning of App Inventor2 can strengthen the computational thinking skills of our students by extracting four core concepts of the computational thinking and then showing how these concepts are applied through the learning of App Inventor 2.

• Journal of Technology Innovation
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• v.25 no.3
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• pp.83-113
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• 2017

This paper constructs panel data of inventors listed on patents applied for the KIPO during 1991-2005 and analyzes the effects of network characteristics on inventor productivity. The findings are as follows: ⅰ) Strong ties within a network have positive effects on inventor productivity. ⅱ) An inventor with high centrality shows high producitivity. ⅲ) Technological diversity of a network enhances inventor productivity. ⅳ) An inventor belonging to a network of good quality shows higher productivity. ⅴ) Network size is positively related with inventor producitvity. ⅵ) A lone inventor shows the highest productivity among types of inventors, and a co-inventor with the experience of standalone invention is more productive compared to an inventor with only the experience of co-invention. ⅶ) The productivity effects of network variables differ across regions. ⅷ) Differences among regions do not decrease though geographical boundaries become less important.

• Korean Journal of Computational Design and Engineering
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• v.3 no.3
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• pp.154-160
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• 1998

In this study, we implement the prototype modeler with non-manifold data structure using Open Inventor. In these days, Open Inventor is a popular tool for computer graphics applications, even though Open Inventor could not store topological information including a non-manifold data structure which can represent an incomplete three dimensional shape such as a wireframe and a dangling surface during designing. Using Open Inventor, our modeler can handle a non-manifold model whose data structure is based on the radial edge data structure. A model editor is also implemented as an application which can construct a non-manifold model from two dimensional editing.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.79-88
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• 2014

Authentic programming environment makes App Inventor interesting educational programming language. However, there are not sufficient studies for usefulness of App Inventor as educational programming language, so proper design of App Inventor education is not available. This article aims to design proper programming education plan using App Inventor. A survey was conducted to ask for appropriation of App Inventor education to teachers and students. As a result, teachers and students were satisfied with App Inventor for programming language in elementary and secondary schools, due to easy-to-use programming environment and real product run in their devices. But learners need to have prior knowledge to use App Inventor and teachers have to manage learners' devices properly. Finally, revised elementary and secondary programming education plan using App Inventor was presented.

• East Asian Economic Review
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• v.23 no.1
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• pp.3-26
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• 2019

This study investigates the effect of high-skilled inventor emigration rate on growth rate of the country of origin (COO). Inventor emigrants represent the human capital that can generate highly innovative work. The social network they form spurs knowledge diffusion and technology transfer back to their COOs, which in turn affects innovation and growth in their home countries. We run dynamic panel estimation for 154 countries during 1990-2011, and empirically show that a positive and statistically significant effect exists for the interaction of inventor emigration and trade. The result indicates that the direct negative impact of the brain drain can be mitigated by the positive feedback effect generated by the high-skilled inventor emigrants abroad. When coupled with an active trade policy that reinforces growth, countries can partially recoup the direct effect of the human capital loss. We stress the importance of international trade for successful technology transfer to occur, and offer insights for policies that can utilize the benefits of the rich social network of their high-skilled emigrants.

• Journal of the Korea Society of Computer and Information
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• v.22 no.1
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• pp.123-134
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• 2017

The ability to use information technology has become increasingly important as technological advances continue to sweep through the computing world, and education for improving computational thinking has become globally instituted. In South Korea, informatics subjects have been modified in the 2015 curriculum and are now compulsory in primary and secondary education. However, despite substantial financial investment and numerous studies promoting informatics education, there continues to be a serious lack of pre-service teachers capable of teaching computational thinking. This study investigated pre-service teacher programming education using App Inventor, their perceptions of App Inventor, and how use of the program affected teacher problem-solving abilities and self-efficacy. In the pre-test, the control group and experimental group showed no statistically significant difference; however, the post-test revealed that the two groups showed statistically significant differences in problem-solving skills and self-efficacy. The participants initially showed interest in using App Inventor; however, after practice-teaching and project-based learning, the participants demonstrated a growing negativity toward the program when they made errors and the functional limits of App Inventor became apparent. Although most participants stated that they would not use App Inventor in their classes, the positive statistically significant differences in problem-solving skills and self-efficacy indicate that this study could be utilized as a basis for building a teaching-learning program using App Inventor and creating an educational plan for teaching computational thinking.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.263-301
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• 2023

This study analyzes whether the network characteristics lead to differences in innovation performance between inventors, using the case of Samsung Electronics and Hyundai Motor Company which have applied for the most patents in the electronics and automobile industries while showing significant differences in the degree of collaborative invention. The more inventors an inventor is connected with in the network, the higher innovation performance is achieved. While existing literature addressed intra- / interindustry, and intra- / inter- group spillovers at the organizational level, this study extends this discussion to the inventor level. This study newly introduces spillover pools from network components and then constructs spillover pools in three dimensions of the group, the industry, and the network component. The study analyzes the effects of each spillover pool on invention performance of an individual inventor and compares the effects between spillover pools. At the inventor level, the innovative effects of spillover pools were confirmed. The results of this study suggest that the inventor's network characteristics and spillover pools can be used to predict the inventor's innovation performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.576-577
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• 2021

In this paper, we describe the learning and quiz app using the app inventor and conducted the related questionnaire. We developed a learning philosophy for preliminary early childhood teachers using the developed apps and taught them how to utilize them in early childhood education by explaining the apps and using the app inventor. Through questionnaires, we confirmed the learning effect and the willingness to use in early childhood education. Through this study, I hope to improve the ability of early childhood teacher learning and to utilize the coding in early childhood education with the app developed as the app inventor.

• Journal of Labour Economics
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• v.41 no.3
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• pp.161-186
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• 2018

Albeit numerous endeavors in matching names and surveying inventors, inventor-level studies of patent data have been scarce because unique inventors can not be identified across patents. Using the Korean patent data with inventor IDs, birth year, and gender available, we construct unique inventor-level panel data. As the first undertaking with our data, we investigate the age profile of patent productivity among inventors. We find an inverted U-shaped profile with the peak at age 31. We also find an increasing productivity for younger cohorts of inventors. These findings are robust after we control for the calendar year effects and the quality of patents.

• Annual Conference of KIPS
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• 2012.04a
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• pp.1223-1225
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• 2012

현재 앱과 모바일 콘텐츠 개발이 활발해지고 있으며, 이에 따르는 기술들이 새로이 개발됨에 따라 다양한 도구들도 함께 등장하고 있다. 이러한 가운데 앱을 쉽게 개발할 수 있는 도구로는 Htrnl5, App Inventor, M-Biz Naker 가 있다. 따라서 이와 같은 도구들의 장단점을 살펴봄으로써, 향후 앱 개발 시장에 미칠 영향을 분석해보도록 한다.