• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.119-130
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• 2020

This study developed an English conversation learning program in immersive virtual reality (VR) environments and compared its effects with non-immersive VR environment using a computer monitor. The effects of the program was assessed using language anxiety and learning achievement. The results indicated that students' language anxiety decreased significantly after learning English conversation in VR environment, but there was no difference between immersive and non-immersive VR. The two VR conditions also produced similar learning outcomes. Future research on immersive VR need to address cyber sickness problems and develop effective learning contents in order to realize its potential for learning.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.551-561
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• 2013

The purpose of this study was firstly, to evaluate the contents of vocabulary game applications for young children's language learning. and secondly, to examine whether there is any differences between Korean and English word games in terms of the evaluation score. For this purpose, the word game applications in smart phone and tablet PC were analyzed, which included 30 Korean word games and another 30 English ones. The criteria to evaluate the contents were developed based on Children's Software Evaluation Instrument developed by CTR, the multimedia evaluation standard by Hee Sook Park, Young Joo Lee, and mobile contents evaluation standard by Soo Ui Choi. As a result, the educational value got the highest score whereas the design characteristics area got the lowest score in the whole evaluation analysis. And English word game applications mostly got higher score than Korean versions. The result of this study would suggest the way to evaluate educational game applications in use and to contribute to developing educational game contents aimed at young children's language learning.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1119-1130
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• 2019

With the wide spread of Social Network Services (SNS), fake news-which is a way of disguising false information as legitimate media-has become a big social issue. This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection models for English, but Korean has two issues that cannot apply existing models: Korean can be expressed in shorter sentences than English even with the same meaning; therefore, it is difficult to operate a deep neural network because of the feature scarcity for deep learning. Difficulty in semantic analysis due to morpheme ambiguity. We worked to resolve these issues by implementing a system using various convolutional neural network-based deep learning architectures and "Fasttext" which is a word-embedding model learned by syllable unit. After training and testing its implementation, we could achieve meaningful accuracy for classification of the body and context discrepancies, but the accuracy was low for classification of the headline and body discrepancies.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1663-1672
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• 2021

There are various typing practice applications. In addition, research cases on learning applications that support typing practice have been reported. These services are usually provided in a way that utilizes their own built-in text. Learners collect various contents through web services and use them a lot for learning. Therefore, this paper proposes a learning application to increase the learning effect by collecting vast amounts of web content and applying it to typing practice. The proposed application is implemented using Tkinter, a GUI module of Python. BeautifulSoup module of Python is used to extract information from the web. In order to process the extracted data, the NLTK module, which is an English data preprocessor, and the KoNLPy module, which is a Korean language processing module, are used. The operation of the proposed function is verified in the implementation and experimental results.

• English Language & Literature Teaching
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• v.12 no.1
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• pp.239-256
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• 2006

With the rapid development in computer hardware and software in recent years, the contents and methods of teaching English have been altered greatly. The use of multimedia and the Internet as a means of language teaching is increasing as information technology accelerates. Using multimedia and the Internet in language teaching allows teachers to have more time to devote to interacting with their students. Above all, it arouses in students the motivation for learning and enables each student to study with the speed commensurate to his/her own ability. Both teachers and students can choose their own style that is most efficient for their classes. When students are efficiently stimulated through visual and auditory materials, they can be more easily motivated to utilize and develop creative techniques by using multimedia and the Internet. Thus, in the information age, it would be desirable to innovate the existing concepts of lineal education and allow more student-centered lessons to more readily expose students to contents and experiences according to their own demands.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2814-2832
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• 2014

As information society matures to an even higher level and as information technology becomes a necessity to our everyday lives, the needs to develop, support and satisfy personal and social needs without the limitation of time, space, and location have become a vital point to everyday lives. Smartphone users are increasing at a staggering rate but the research on mobile-Learning model and the implementation of m-Learning scenario are still behind the needs of the users. Therefore, this paper focuses on the design of 'repeatable and short-spanned m-Learning model' to meet the needs of the learners who are on the go and on the move with their smartphones. Smartphone users frequently reach out for their phones but compare to the frequencies, the actual span of time they spend per use are relatively and surprisingly short. One way to understand this phenomenon is that the users tend to immediately replace their smartphones with laptops or desktops whenever they are available. A leaning model was needed to reflect this short and frequent use, a use that is solely based on the smartphone environment. This proposed learning model first defines this particular setting and implements the model to real smartphone users over an 8 week period. To understand whether different learning backgrounds can influence this model, different schools with online and offline learning channels participated in the experiment. User survey was conducted after the experiment to get a better understanding of the smartphone users. Pretest and posttest were conducted before and after the experiment and the data were validated and analyzed using SPSS version 18.0 for PC. Preliminary descriptive statistics, multiple regression and cross validation was conducted for the analysis. The results showed that the proposed English Listening and Comprehension Mobile Digital Textbook (ELCMDT) had a positive effect on the learners in general and was more effective for learners who were already experienced with online learning.

• International Journal of Contents
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• v.13 no.4
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• pp.1-11
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• 2017

This paper studies the effect of flipping the classroom in undergraduate physics classes using English as the medium of instruction (EMI). Data on student use of learning strategies, course satisfaction level and perceptions of the flipped classes were collected through a survey including close-ended and open-ended questions. The sample size was 71 students in flipped classes, with 60 students in non-flipped classes used as a control group (total N=131). It was found that students in the flipped classes showed greater intrinsic goal orientation (p<.05), control of learning beliefs (p<.05), and use of critical thinking (p<.01) than those in the non-flipped classes. While the survey highlighted problems of student engagement with the pre-class activities, students who had previous experience with online classes committed more time to pre-class, suggesting that engagement may improve with exposure to blended learning. It is concluded that the flipped classroom helps students develop their identities as self-directed learners, but that more support is necessary for weaker students in the EMI context. Implications are drawn for the content design of flipped EMI classrooms.

• Journal of Power Electronics
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• v.2 no.4
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• pp.250-257
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• 2002

This paper introduces the Interactive Power Electronics Seminar - iPES - a new software package for teaching of fundamentals of power electronic circuits and systems. iPES is constituted by HTML text with Java applets for interactive animation, circuit design and simulation and visualization of electromagnetic fields and thermal issues in power electronics. It does comprise an easy-to-use self-explaining graphical user interface. The software does need just a standard web-browser, i.e. no installations are required. iPES can be accessed via the World Wide Web or from a CD-ROM in a stand-alone PC by students and professionals. Due to the underlying software technology iPES is very flexible and could be used for on-line learning and could easily be integrated into an e-learning platform. The aim of this paper Is to give an introduction to the iPES-project and to show the different areas covered. The e- learning software is available at no costs at $\underline{www.ipes.ethz.ch}$ in English, German, Japanese, Korean, Chinese and Spanish. The project is still under development and the web page is updated in about 4 weeks intervals.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.411-414
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• 2021

One of the elements of technology that has become extremely critical within the field of education today is Deep learning. It has been especially used in the area of natural language processing, with some word-representation vectors playing a critical role. However, some of the low-resource languages, such as Swahili, which is spoken in East and Central Africa, do not fall into this category. Natural Language Processing is a field of artificial intelligence where systems and computational algorithms are built that can automatically understand, analyze, manipulate, and potentially generate human language. After coming to discover that some African languages fail to have a proper representation within language processing, even going so far as to describe them as lower resource languages because of inadequate data for NLP, we decided to study the Swahili language. As it stands currently, language modeling using neural networks requires adequate data to guarantee quality word representation, which is important for natural language processing (NLP) tasks. Most African languages have no data for such processing. The main aim of this project is to recognize and focus on the classification of words in English, Swahili, and Korean with a particular emphasis on the low-resource Swahili language. Finally, we are going to create our own dataset and reprocess the data using Python Script, formulate the syllabic alphabet, and finally develop an English, Swahili, and Korean word analogy dataset.

• Journal of KIISE:Software and Applications
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• v.27 no.3
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• pp.302-313
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• 2000

In English-Korean machine translation, transitive verb-objective collocation is utilized for accurate translation of an English verbal phrase into Korean. This paper presents an algorithm for correct verb translation based on the k-nearest neighbor learning. The semantic distance is defined on the WordNet for the k-nearest neighbor learning. And we also present algorithms for automatic collocation dictionary optimization. The algorithms extract transitive verb-objective pairs as training examples from large corpora and minimize the examples, considering the tradeoff between translation accuracy and example size. Experiments show that these algorithms optimized collocation dictionary keeping about 90% accuracy for a verb 'build'.