• Journal of Digital Convergence
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• v.6 no.1
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• pp.83-91
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• 2008

The objective of this research is to assess various factors affecting E-learning in Korean language education. In this research, we hypothesize that several factors such as absorption, motivation and tutors increase the educational effects of E-learning and ultimately affect learning attitude and satisfaction of students in E-learning. To discuss the hypothesis, we analyzed survey data of 300 students who were taking E-learning class of Korean language for three weeks in October 2007 based on Structural Equation Model. The result of our analysis shows that the factors such as absorption, motivation, tutors have positive effects on E-learning in Korean language education and positive influence on learning attitude and satisfaction on students as well.

• Educational Technology International
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• v.21 no.2
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• pp.155-191
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• 2020

The aim of this study was to examine the trends (e.g., the distribution of the studies by year, country, research methods, and participants' education level) and fundamental findings [e.g., interaction in Virtual Reality (VR) environments, educational content through VR and Augmented Reality (AR) technologies, learning environment in AR, etc.] regarding immersive learning technologies such as VR and AR in English Language Teaching (ELT) between 2010 and 2019. Employing a systematic review research methodology, data was gathered from 59 academic articles published in the following databases: EBSCOhost, ERIC, Web of Science, and Taylor & Francis. The studies were analyzed using a content analysis approach, and findings demonstrated that immersive learning technologies in ELT came to prominence in 2017. Mixed methods research was the most widely employed research method. The most studied language skill was vocabulary for AR and speaking for VR. The results also revealed advantages and challenges with regards to the use of immersive learning technologies in ELT. Further analysis illustrated the findings related to characteristics of immersive learning technologies in ELT. Based on this review, research and design implications for researchers and practitioners are presented.

• International Journal of Contents
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• v.15 no.4
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• pp.89-96
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• 2019

This study examines the impact of online collaborative English language learning to enhance learner motivation and classroom engagement in university English instruction. The role of learner motivation and classroom engagement has gained much attention under the premises of current constructivist framework of English as a foreign language education. To promote learner motivation and classroom interaction in English instruction, participants in this study engaged in integrative English learning activities through online group collaboration and peer-tutoring. They exchanged productive peer response and shared their learning experiences throughout the integrative English learning activities. Digital technology played an integral role in motivating the learning process of the participants. Data for this study were gathered through an online questionnaire survey and semi-structured interviews. The data were analyzed based on the ARCS motivational model of instructional design to identify the motivational aspects of integrative English learning activities. This study reveals that participants of this study regarded online collaborative English learning activities as the positive and motivating learning experience. The online collaborative English reading instruction had positive effect on improving EFL university students' learning performance. Participants of this study also identified affective and metacognitive benefits of online collaborative EFL learning activities for learner motivation and classroom engagement. This study reveals that the social networking platform in online group collaboration played a crucial role for the participants in understanding the integration of online group collaboration as the positive and effective language learning strategy. This study may have implications in suggesting the effective instructional design for promoting learner motivation and classroom interaction in EFL education.

• English Language & Literature Teaching
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• v.11 no.1
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• pp.37-55
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• 2005

This study examines the effects of two motivational orientations on the use of language learning strategies at overall, category, and specific-item levels. 184 students (males and females) from a Korean university responded to the following two questionnaires: the Motivational Orientation Questionnaire (MOQ) developed by the author and Oxford's Strategy Inventory for Language Learning (SILL). The results showed that both integratively- and instrumentally-oriented students were moderate strategy users overall. Integratively-oriented learners were found to use learning strategies more often and a broader spectrum of strategies than instrumentally-oriented learners. A noteworthy finding, however, is that strategy use was not motivation orientation-specific. In other words, the two motivational groups were found to share the similar patterns of strategy use. Independent samples t test results revealed that integratively-oriented students exhibited significantly greater use of overall strategy than instrumentally-oriented students. This phenomenon held true for the use of cognitive, metacognitive, and social categories. At the specific item levels, 13 of the total 50 individual strategies were shown to be employed significantly more often by integratively motivated learners than by their instrumentally motivated peers.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.37-45
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• 2018

The purpose of this study was to understand language learning strategies use, language learning beliefs, and listening achievement of Korean EFL learners. The participants was sixty-nine university students who enrolled in blended learning classes for English listening. Data was collected and analyzed to see if there were any differences in strategies and beliefs between students who improved their listening test score and those who did not. The results showed that students showing improvement at the post-test used more language learning strategies and had a high level of motivation. Statistically significant correlation was found between motivation and strategies such as cognitive and meta-cognitive strategies.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.199-216
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• 1999

The 121 five-year-old Korean subjects of this study were divided in 3 groups based on their experience in learning a foreign language (English). A battery of tests was administered to measure spoken and written language ability and the 3 metalinguistic domains of phonological, semantic, and syntactic awareness. Spoken language ability was positively correlated with semantic and syntactic awareness. The relative importance of each metalinguistic domain varied with level of written language development. Phonological awareness was the only predictor of decoding. Syntactic awareness and phonological awareness were significant variables in sentence comprehension. Metalinguistic ability was a better predictor of written language development than spoken language ability. Foreign language learning experience had an effect on syntactic awareness: low experience was superior to no experience, but high experience was not superior to low experience.

• ETRI Journal
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• v.46 no.1
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• pp.137-153
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• 2024

This study introduces a new approach in Korean morphological analysis combining dictionary-based techniques with Transformer-based deep learning models. The key innovation is the use of a BERT-based reranking system, significantly enhancing the accuracy of traditional morphological analysis. The method generates multiple suboptimal paths, then employs BERT models for reranking, leveraging their advanced language comprehension. Results show remarkable performance improvements, with the first-stage reranking achieving over 20% improvement in error reduction rate compared with existing models. The second stage, using another BERT variant, further increases this improvement to over 30%. This indicates a significant leap in accuracy, validating the effectiveness of merging dictionary-based analysis with contemporary deep learning. The study suggests future exploration in refined integrations of dictionary and deep learning methods as well as using probabilistic models for enhanced morphological analysis. This hybrid approach sets a new benchmark in the field and offers insights for similar challenges in language processing applications.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.1-24
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• 2006

This study investigated differences in beliefs about English learning of 286 EFL college students and 52 English teachers in Korea. Data was collected using Horwitz's Beliefs About Language Learning Inventory and compared between students and teachers in beliefs. To address the research questions, the data were analyzed through descriptive statistics including frequencies, factor analysis, MANOVA, ANOVA, t-test, and reliability coefficients. The results showed four factors in student beliefs: Difficulty of learning English, nature of learning English, importance of correctness in learning English, and motivation and perceived importance of learning English. Clear differences were found in students and teachers' beliefs in English learning aptitude and importance of translation, error correction, and grammar rules. A few belief differences were also identified between Koreans and native-speaking English teachers related to the importance of vocabulary learning, pronunciation, and cultural knowledge. The findings of the study indicated that background variables such as gender and major field of study have an effect on student beliefs about L2 learning. The present study also provided pedagogical considerations to reduce mismatch between students and teachers beliefs and to improve the L2 planning and instruction.

• ETRI Journal
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• v.40 no.4
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• pp.435-445
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• 2018

This paper proposes a human-like sign-language learning method that uses a deep-learning technique. Inspired by the fact that humans can learn sign language from just a set of pictures in a book, in the proposed method, the input data are pre-processed into an image. In addition, the network is partially pre-trained to imitate the preliminarily obtained knowledge of humans. The learning process is implemented with a well-known network, that is, a convolutional neural network. Twelve sign actions are learned in 10 situations, and can be recognized with an accuracy of 99% in scenarios with low-cost equipment and limited data. The results show that the system is highly practical, as well as accurate and robust.

• English Language & Literature Teaching
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• v.9 no.1
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• pp.1-21
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• 2003

Learner-centered approach has been a recent research focus in the second language acquisition, but few studies have dealt with how to develop learner autonomy, particularly in a computer-assisted language learning environment. The paper first illustrates the importance of promoting learner autonomy in the EFL context and elaborates the three main factors contributing to its development. Then it focuses on how the CALL research project promotes autonomous learning through a small-scale study in Gyeongju University. Both quantitative and qualitative methods have been employed to examine whether in the CALL project learners exercise control over their own learning and evaluate the outcome. The results indicate that due to a flexible syllabus, highly motivating research topics and the network-assisted environment, learners do take responsibility for most aspects of learning and thus the CALL project proves to be a promising approach for autonomous learning.