• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.283-284
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• 2020

라즈베리파이는 교육용 프로젝트의 일환으로 개발된 임베디드 보드로서 모듈 확장성이 용이하여 사용자가 원하는대로 용도를 변경하거나 기능을 확장할 수 있다. 현재 한국 소프트웨어 교육은 프로그래밍 언어와 이론 위주의 경향이 짙은데, 이는 초기 학생들의 프로그래밍에 대한 흥미를 저하시키는 데 가장 큰 걸림돌이 되고 있다. 본 논문에서는 라즈베리파이를 활용하여 사물인터넷의 대표적 입력수단으로 활용되고 있는 음성인식을 구현하는 방법에 대해 논한다. 또한 향후에는 TPU(Tensor Processing Unit)의 전용 소프트웨어를 사용하여 대용량의 실시간 음성인식을 GPU를 이용하여 구현함으로써 실제 물리적인 장치들을 프로그래밍으로 제어함으로써 소프트웨어의 현실 통제 가능성을 직접 체험하여 음성인식뿐만 아니라 동작 원리 및 기저 기술들에 대한 관심을 불러일으키는 하나의 좋은 교육 방법이 될 수 있다.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.517-535
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• 2021

The development of digital technology has not only brought many changes to our lives, but also many changes to the online education environment. The emergence of micro-learning is to meet the needs of individual learners who hopes to receive personalized learning content immediately when they need it. Therefore, Micro-learning can be said to be 'adaptive' education. This research attempts to explore the development principles of adaptive micro-learning through literature research and case analysis. The results of the research draw four aspects of the development principles, including adaptive learning environment, adaptive learning content, adaptive learning sequence and adaptive learning evaluation, as well as detailed elements of each aspect. Micro-learning is a new form of e-learning that reflects the needs of the current society. As exploratory research, this research attempts to point out the direction for future follow-up research.

• Journal of Korea Game Society
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• v.13 no.2
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• pp.71-80
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• 2013

The purpose of this paper is to analyze the results & performance of the optimized human resource development program, which was progressed by Gachon University in the past three years. Gachon University since 2009, with the support of the government, has launched a "Game Project Track" and also has carried out curriculum development and student education with cooperative companies in the field of game industry. Furthermore, Game Project Track, with companies, has pursued special lecture & intern training during vacation in order to strengthen students' ability to adapt on-site. As a results of co-education, 25 students have received the award in the external competitions, and also 39 students(97.5%) of 40 graduated from this course have been employed by cooperative companies.

• Communications of Mathematical Education
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• v.36 no.3
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• pp.417-438
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• 2022

The purpose of this study is to suggest implications for mathematics teaching and learning when using AI-based educational platforms that support personalized mathematics learning. To this end, we selected five platforms(Knock-knock! Math Expedition, knowre, Khan Academy, MATHia, CENTURY) and analyzed how the AI-based educational platforms for mathematics reflect the three elements(PLP, PLN, PLE) to support personalized learning. The results of this study showed that although the characteristics of PLP, PLN, and PLE implemented on each platform varied, they were designed to form PLEs that allow learners to make their autonomous decisions about learning based on PLP and PLN. The significance of this study can be found in that it has improved the understanding and practicability of personalized mathematics learning with the AI-based educational platforms.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.73-82
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• 2022

As digital advertising industry grows, consumers' concerns over personal information protect also rise. Thus, the current study is designed to explore college students' perspectives on digital behavioral advertising and personal information protection through in-depth interviews. According to study results, importance of personal information protection is highly regarded among college students and interviewees suggest individuals, companies, and government organizations work together to protect personal information. College students' behavioral level of personal information protection can be divided into three levels such as 1) no-action taken, 2) passive response, and 3) active response. The study found that college students' attitude toward digital behavioral advertising is positive and also negative at the same time. Lastly, the study suggests that college students have positive attitude toward companies' personal information collection and use for the marketing purpose such as digital behavioral advertising. At the discussion section this study puts emphasis on the need for digital media literacy education and suggests practical implications for personal information collection and its procedures.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.263-270
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• 2016

In this study, it was attempted to develop a grade-customized statistical analysis system that can be operated by a teacher without professional knowledge of statistics by utilizing profiling in the education sector. For this, with the convergence of techniques of profiling into the education sector, it examined the elements necessary for building a customized student multidimensional analysis system. Referring to the overall configuration and the current state to build multidimensional analysis system utilizing practical profiling, it showed the implementation result of the algorithm applied to each statistical method, and presented the differences and superiority to existing systems. Once the system based on the proposed techniques is built, considering differences of students' needs and abilities and clarifying precise objectives and standards, with the improvement of satisfaction in public education, it is possible not only to reduce expense of prior and private learning but also realize self-directed learning suitable to one's learning ability and aptitude.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.15-20
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• 2024

Local governments are conducting smartphone usage training for the elderly to bridge the information gap caused by a super-aged society. However, the one-to-many educational approach has limitations, and the elderly face difficulties due to insufficient learning effectiveness. This study proposes an educational service that can be used in offline training settings, considering an environment where the elderly can repeatedly learn to address these issues. This service utilizes generative AI to identify the parts that users find challenging and provides personalized problems for individualized practice. Integrating this app with existing local government training programs is expected to significantly enhance the efficiency of smartphone education in terms of personalized 1:1 training, time management, and the appropriateness of educational content.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.67-75
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• 2020

The 'level of difficulty' is one of the major factors for learners when selecting learning contents. However, the criteria for the difficulty level is mostly defined by the contents providers. This approach does not support the personalized education which should consider the abilities and environments of various learners. In this research, the knowledge of the learners and contents were formalized and generalized to resolve the issue, and object models, including a metric for personalized difficulty level, were designed in order to be applied for experiments. And then, based on 100 contents for music education and 20 learners, we performed simulations with an implemented tool to validate our approach. The experimental results showed that our method can calculate the personalized difficulty levels considering the similarities between the knowledges from the learning state and the contents. Our approach can be effectively applied to the on-line learning management system which contains easy access to the learning state and contents data.

• Proceedings of The KACE
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• 2018.08a
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• pp.139-141
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• 2018

국제사회의 평균 연령이 높아짐과 동시에 시니어의 인터넷 이용률이 증가하면서 시니어 세대를 위한 서비스 및 맞춤형 콘텐츠 제공이 필요한 실정이다. 시니어의 경우 신체 및 인지 능력 감소로 글을 읽는 능력이 저하되고, 이로 인해 온라인으로 제공되는 뉴스 콘텐츠를 정확히 이해하지 못하는 현상이 발생한다. 따라서 본 연구에서는 뉴스의 형태를 구성하는 요소를 정의하여, 시니어의 인지 반응 측정 데이터를 기반으로 한 개인 맞춤형 뉴스 형태 추천 시스템을 제안한다.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.159-165
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• 2024

This study investigates the comprehensive system for collecting intelligent learning activity data tailored to learner-centered personalized education. We compared and analyzed the characteristics of xAPI, Caliper analytics, and cmi5, which are learning activity data collection standards, and established a system that allows not only standardized data but also non-standardized learning activity data to be stored as big data for artificial intelligence learning analysis. As a result, the system was structured into five stages: defining data types, standardizing learning data using xAPI, storing big data, conducting learning analysis (statistical and AI-based), and providing learner-tailored services. The aim was to establish a foundation for analyzing learning data using artificial intelligence technology. In future research, we will divide the entire system into three stages, implement and execute it, and correct and supplement any shortcomings in the design.