• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.85-91
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• 2022

In the IOT social environment, which emphasizes the convergence of science and technology and emotion, this study aims to explore the experience and meaning of the experience while participating in the design convergence class based on the operation of the Learning community of Chinese graduate students majoring in design. To this end, an implementation study was conducted by visualizing various research problems using a design-based inquiry method for 12 graduate students attending T University. The design-oriented convergence class was conducted in a small group with content that was deepened into a visual strategy by the expression technique given by the external environment and the learner's own inner motivation. In order to express the perspective and intention of the research problem in the research, the convergence design research expressed using various visual strategies such as metaphorical use and analysis of visual data in the research process and sensory approach to the research problem was presented in a form that expresses the creative thinking process. As a way of exploration, the teaching method of presenting results based on various experiences suggests changes in new teaching formats, practical knowledge sharing by instructors, and community participation by learning participants.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.292-295
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• 2006

As Chinese characters occupies more than 70% of words we currently use, the education of Chinese characters is becoming important day by day to accurately deliver the meaning of words in our language life. In recent, there are increasing concerns on writing Chinese characters correctly as well as reciting, books and Internet contents on Chinese character writing is emerging. However, currently available Internet media on the Chinese characters education only illuminates recitation and interpretation. Moreover, the writing part is merely provided in the form of paper by printing the characters, thus, writing materials are insufficient. In this paper, we propose a design and implementation of Web based Chinese characters writing system. Using the system, a user can write Chinese characters with mouse device. The learning progress is accordingly managed for the user. In addition, the proposed system can be used any place in where Internet is connected.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.29-38
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• 2019

Currently, information society is rapidly changing and demands innovation and creativity in various fields. Therefore, the importance of mathematics, which can be the basis of creativity and logic, is emphasized. The purpose of this paper is to develop a math education application that can further expand the logical thinking of mathematics and allow voluntary learning to occur through the use of readily available teaching aid for children to form motivation and interest in learning. This paper provides math education applications using a smartphone and blocks for children. The main function of the application is to shoot with the camera and show the calculated values. When a child uses a block to make a formula and shoots a block using a camera, you can directly see the calculated value of your formula. The preprocessing process, text extraction, and character recognition of the photographed images have been implemented using OpenCV libraries and Tesseract-OCR libraries.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.67-74
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• 2023

Stock price prediction research in the financial sector aims to ensure trading stability and achieve profit realization. Conventional statistical prediction techniques are not reliable for actual trading decisions due to low prediction accuracy compared to randomly predicted results. Artificial intelligence models improve accuracy by learning data characteristics and fluctuation patterns to make predictions. However, predicting stock prices using long-term time series data remains a challenging problem. This paper proposes a stable and reliable stock price prediction method using K-means clustering-based data augmentation and normalization techniques and LSTM models specialized in time series learning. This enables obtaining more accurate and reliable prediction results and pursuing high profits, as well as contributing to market stability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.163-168
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• 2011

Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.

• Journal of Gifted/Talented Education
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• v.13 no.1
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• pp.81-95
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• 2003

There have been tremendous needs and requirements of special education for the gifted to the level of country development and for developing their talents. Even though a lot of research has been done on special education for the gifted supported by the government, lack of educational materials and material development has been a main concern. Some trails using the web with the help of information technology have been made on distance education and resulted good effect on education. No application using a web-based educational method has been made on special education for the gifted so far. This paper describes about the web-based special education for the gifted on mathematics. The discussed topics are development of educational materials, compliments of the current educational materials in mathematics being used at the KIGES(Kyungnam Institute of the Gifted Education in Science), and the continuation of special education for the gifted. Furthermore, a better and more efficient way is suggested for special education for the gifted that has been limited by geographic and locational restrictions.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.145-151
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• 2013

As the Internet is widely used worldwide, digital asset on the internet becomes to be critical to protect from illegal copying and piracy which is an unlawful action that download or upload copyrighted materials from the Internet without having a right to use them from the copyright owners. Such an illegal and unethical behavior are pervading and becoming a big concern in many industries and business sectors over the world. This study examines the effect of the user's perception for piracy regulation and moral obligation on online piracy intention. Therefore, the purpose of this study is to see the different effect of regulation and moral obligation on piracy attitude and intention so as to suggest an effective method of piracy protection and to bring an attention on moral and ethical education for online piracy. The result of this study showed both punishment and moral obligation toward online piracy are significantly associated with users' attitude on piracy, indicating that higher level of punishment severity as well as moral obligation lead to decrease piracy attitude. This research also revealed that the level of users' moral obligation has a stronger relationship with piracy attitude than punishment.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.225-231
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• 2020

This study aims to examine the efficacy of online lectures conducted by most universities in 2020 in response to the Covid-19 crisis. Furthermore, this study analyzes students' opinions regarding online lectures, thereby assessing the possible direction that future online lectures could take. This study's results indicate that online lectures can have a positive effect on learners' reading comprehension. Also, student satisfaction with online lectures was found to be quite high. Among the reasons students cited for favoring the online format were: (1) the fun presentation of class information; (2) the diversity of subjects covered; and (3) the ease of using the Internet. Among the improvements made for enhancing online lectures were technical enhancements (such as fixing attendance check authentication errors) and stabilizing the playback of lecture videos. By way of concluding, this study claims that professors who are familiar with giving lectures in person should come to recognize that online lectures are not simply another option, but are essential for the future. As such, the academic community must focus on developing online content as a way to further higher education's development in meeting the academic demands of both the present and the future.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.199-209
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• 2013

This study empirically investigates how the switching barriers influence the consumer's perceived intention to change his or her current favorite internet shopping mall. Drawing from switching cost theory, variables pertaining to trust, shopping mall service quality, product price, web page quality, switching barriers were examined to examine the consumer's behavioral intention to switch to another shopping mall. The interaction effect of consumer involvement was also included in the research model. The results of the study report that customer satisfaction and switching cost influence shopping switching intention, while the effect of attractiveness of the shopping mall was not significant in the statistical analysis. Furthermore, a moderating effect of consumer involvement was not found significant in the PLS analysis. The study demonstrates the shopping mall owners try to increase the customer's overall satisfaction and raise the switching barrier by providing mileage advantages, for instance.

• Journal of The Korean Association For Science Education
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• v.44 no.3
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• pp.231-248
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• 2024

This study developed a chatbot for first-year high school students, employing open-source software and the Korean Sentence-BERT model for AI-powered document classification. The chatbot utilizes the Sentence-BERT model to find the six most similar Q&A pairs to a student's query and presents them in a carousel format. The initial dataset, built from online resources, was refined and expanded based on student feedback and usability throughout over the operational period. By the end of the 2023 academic year, the chatbot integrated a total of 30,819 datasets and recorded 3,457 student interactions. Analysis revealed students' inclination to use the chatbot when prompted by teachers during classes and primarily during self-study sessions after school, with an average of 2.1 to 2.2 inquiries per session, mostly via mobile phones. Text mining identified student input terms encompassing not only science-related queries but also aspects of school life such as assessment scope. Topic modeling using BERTopic, based on Sentence-BERT, categorized 88% of student questions into 35 topics, shedding light on common student interests. A year-end survey confirmed the efficacy of the carousel format and the chatbot's role in addressing curiosities beyond integrated science learning objectives. This study underscores the importance of developing chatbots tailored for student use in public education and highlights their educational potential through long-term usage analysis.