• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.19-20
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• 2023

영어 교육 시장 확대로 다양한 영어 학습 시스템이 개발되고 있다. 그러나 어휘의 문맥적 이해와 효과적인 학습 방법을 결합한 지능형 어휘 학습 시스템에 대한 연구는 미비하다. 본 연구에서는 임의의 n 개 영어 단어가 한 그룹으로 제시되고, 이들을 모두 포함한 예문을 제공하는 지능형 영어 어휘 학습 시스템을 개발한다. 본 연구에서는 임의의 n 개 영어 단어가 주어졌을 때 문맥에 맞는 영어 예문을 자동으로 생성하는 모델을 개발하였다. 어휘 평가를 바탕으로 자동으로 취약 어휘를 선정하며 학습자들이 해당 어휘를 학습 할 수 있도록 진행한다. 본 연구에서 개발한 지능형 영어 어휘 학습 시스템의 사용성 평가를 위해 설문 검사를 실시하였다. 설문 결과는 문맥 및 어휘 그룹 기반의 지능형 영어 학습 시스템은 사용자들이 사용하기 편리하고 어휘 능력을 향상시키는데 도움이 될 수 있음을 보여준다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.21-22
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• 2023

영어 공인 시험에서 영어 어휘는 가장 중요한 요소 중 하나이다. 그러나 기존 영어 어휘 학습 시스템은 단순히 어휘 교재의 콘텐츠를 디지털화한 것에 그치고 있다. 영어 어휘 학습에서 동의어에 대한 학습은 언어 능력을 향상시키고 다양한 상황에서 효과적으로 의사소통할 수 있는 능력 향상에 도움이 된다. 본 연구에서는 학습자들이 영어 어휘 학습을 효과적으로 할 수 있도록 동의어 및 반의어를 활용할 수 있는 학습 시스템을 제안한다. 본 시스템은 동의어와 반의어에 대한 정보가 필요한 영어 어휘를 입력으로 받아 생성형 AI에서 동의어 및 반의어에 대한 정보를 생성한 후에 반환하는 기능을 수행한다. 본 시스템은 학습자들이 어휘 평가에서 오답으로 답한 어휘에 대해 동의어 및 반의어에 대한 추가적인 어휘와 예문을 제공하여 영어 어휘 학습의 효율성을 높일 수 있을 것이다.

• Journal of Advanced Navigation Technology
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• v.17 no.2
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• pp.234-239
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• 2013

Learning a lesson about poor concentration and problems of the existing content, the system of language which could not be determined, Many teachers' assessment decision was made. As a result, voice recording based on the combination of ubiquitous technology and virtual reality technology, and install the projector in a classroom Through the learning content corresponding grade English student ID card attached RFID reader in each classroom, and students of RFID tags attached. In reality of the virtual three-dimensional image content foreigners and question-and-answer using the voice recording technology at the same time check the pronunciation and intonation level passes or level failure judged. Student education data to a central server system is configured to do so after saving to the DB through a feedback process, which provides information. Analysis of the issues that can have a common language content in the present study and Problem for voice recording technology to solve the problem and did not solve the existing language in the content level based classes.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.73-82
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• 2020

The main purpose of this study was to analyze the general informatization situation of North Korean defectors and to study the characteristics and needs of the learners in order to provide the directions of information education for them. The results of the study showed the following characteristics of the North Korean defectors: They are slow learners due to the fear of new devices, have difficulty in learning due to the unfamiliar language of information and English, and indifferent when the situation is not related to themselves. Based on these learner characteristics and needs, this study suggests the strategies of step-by-step repetition, use of North and South Korean dictionary of the information terminology, apply job-centered and communication abilities, and suggested a four-element STEP model. Raising the level of informatization of North Korean defectors will help establish a successful settlement to South Korea. This will be a valuable foundation and a stepping stone for the future unification of Korea.

• Journal of The Korean Association For Science Education
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• v.32 no.8
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• pp.1295-1317
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• 2012

There has been disagreement on the importance of definitions in science education. Yager (1983) believes that one crisis in science education was due to the considerable emphasis upon the learning of definitions. Hobson (2004) disagrees with physics textbooks that do not provide general definition on energy. Some textbooks explain that "there is no completely satisfactory definition of energy" or they can only "struggle to define it." In general, imprecise definitions in textbooks (Bauman, 1992) and inaccuracies in definition provided by teachers (Galili & Lehavi, 2006) may cause alternative conceptions. Besides, there are at least four challenges in defining physical concepts: precision, circularity, context and completeness in knowledge. These definitional problems that have been discussed in The Feynman Lectures, may impede the learning of physical concepts. A meta-study approach is employed to examine about five hundreds journal papers that may discuss definitions in physics, problems in defining physical concepts and how they may result in alternative conceptions. These journal papers are mainly selected from journals such as American Journal of Physics, International Journal of Science Education, Journal of Research in Science Teaching, Physics Education, The Physics Teachers, and so on. There are also comparisons of definitions with definitions from textbooks, Dictionaries of Physics, and English Dictionaries. To understand the nature of alternative conception, Lee et al. (2010) have suggested a theoretical framework to describe the learning issues by synthesizing cognitive psychology and science education approaches. Taking it a step further, this study incorporates the challenges in semantics and epistemology, proposes that there are at least four variants of alternative conceptions. We may coin the term, 'alternative definitions', to refer to the commonly available definitions, which have these four problems in defining physics concepts. Based on this study, alternative definitions may result in at least four variants of alternative conceptions. Note that these four definitional problems or challenges in definitions cannot be easily resolved. Educators should be cognizant of the four variants of alternative conceptions which can arise from alternative definitions. The concepts of alternative definitions can be useful and possibly generalized to science education and beyond.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1241-1250
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• 2012

The purpose of this study was to investigate core competencies of science-gifted students based on teachers' and students' perceptions. Based on a literature review and focus group interview, 16 core competencies of science-gifted students were drawn. The results of this study were as follows. First, there are significant differences in self-control, self-directed learning, knowledge in one's academic area, research, English, writing, leadership, communication skill, cooperation, and spirit of services between teachers and students. Second, teachers perceived self-directed learning, thinking skills, interests in one's academic area, motivation as the most important core competencies among the 16. Also, teachers perceived the educational program to raise self-control, cooperation and self-directed learning. Further discussion was reviewed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.576-583
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• 2020

This paper proposes a technique to determine the spam comments on YouTube, which have recently seen tremendous growth. On YouTube, the spammers appeared to promote their channels or videos in popular videos or leave comments unrelated to the video, as it is possible to monetize through advertising. YouTube is running and operating its own spam blocking system, but still has failed to block them properly and efficiently. Therefore, we examined related studies on YouTube spam comment screening and conducted classification experiments with six different machine learning techniques (Decision tree, Logistic regression, Bernoulli Naive Bayes, Random Forest, Support vector machine with linear kernel, Support vector machine with Gaussian kernel) and ensemble model combining these techniques in the comment data from popular music videos - Psy, Katy Perry, LMFAO, Eminem and Shakira.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.510-518
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• 2022

The diagnostic evaluation conducted at the national level is very important to detect underachievers in school early. This study used an artificial intelligence method to find the characteristics of underachievers that affect learning development for middle school students. In this study an artificial intelligence model was constructed and analyzed to determine whether the Busan Education Longitudinal Data in 2020 by entering data from the first year of middle school in 2019. A predictive model was developed to predict basic middle school Korean, English, and mathematics education with machine learning algorithms, and it was confirmed that the accuracy was 78%, 82%, and 83%, respectively, in the prediction for the next school year. In addition, by drawing an achievement prediction decision tree for each middle school subject we are analyzing the process of prediction. Finally, we examined what characteristics affect achievement prediction.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.263-270
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• 2015

L2 learners deal with communication problems encountered during the course of their oral communication by employing what are known as communication strategies(CSs). As CSs play a significant role in communication and language learning, identifying CSs that facilitate communication has become important in L2 research. However, there have been some controversies about how to identify CSs, especially about data sources: conversation data, retrospective interview data, or combining two types of data. Drawing on the advantages of converged data, this study aimed to identify CSs that L2 learners use in their English communication through a convergence analysis of data. In this qualitative case study, the data were collected from Korean L2 learners' conversations and retrospective verbal reports in stimulated recall interviews. Using a data convergence approach, various CSs were identified: definition replacement CSs, message change CSs, time-gaining CSs, and comprehension CSs. This study suggests the effectiveness of CSs in handling L2 communication problems and the usefulness of data convergence in L2 CS research.