• English Language & Literature Teaching
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• v.8 no.2
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• pp.177-196
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• 2003

The purpose of this study is to help teachers and program developers develop comprehensive and authentic assessment models with appropriate ways of using various kinds of assessment tools in college English instruction and assessment. Assessing by traditional discrete tests based on grammar and vocabulary cannot measure the authentic ability for language use in meaningful context in the real world. Currently, the trend in language assessment is changing to performance assessment. Increased use of performance assessments that involve language students in selecting and reflecting on their learning means that language teachers will have a wider range of evidence on which to judge whether students are becoming purposeful and are able to communicate as English users. Also, language programs focused on performance assessment are likely to instil in students authentic skills related to communication in the global world and enable them to evaluate what they learn from their English classes. In this study, the author investigated the theoretical background, the need of change, and several types of performance assessment.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.79-87
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• 2024

Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.

• Journal of Korean Library and Information Science Society
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• v.45 no.4
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• pp.185-205
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• 2014

This study investigated IRA's 3 standards related to reading instruction and examined the value which can be meaningful to Korean situation. IRA divided reading educators into 7 types and proposed each detailed professional standard through the 'Standards for reading professionals'. The next standard called 'Standards for the English language art' described their direction and content for English language education including reading instruction. The 'Standards for the assessment of reading and writing' aims at the basis to evaluate students' reading ability. The value found through these standards is as follow: IRA's reading professionals standard can be a useful way to define the type of reading educator in Korea. A reading instruction standard like IRA's language art standard can guide reading instruction of Korean libraries in a more systemic and consistent way. A valid evaluation standard to measure students' reading ability can show the possibilities to define the students who struggle with reading and to provide more suitable instruction for them.

• Proceedings of the KSPS conference
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• 1997.07a
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• pp.179-184
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• 1997

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.134-146
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• 2024

This study introduces and experimentally validates a novel approach that combines Instruction fine-tuning and Low-Rank Adaptation (LoRA) fine-tuning to optimize the performance of Large Language Models (LLMs). These models have become revolutionary tools in natural language processing, showing remarkable performance across diverse application areas. However, optimizing their performance for specific domains necessitates fine-tuning of the base models (FMs), which is often limited by challenges such as data complexity and resource costs. The proposed approach aims to overcome these limitations by enhancing the performance of LLMs, particularly in the analysis precision and efficiency of national Research and Development (R&D) data. The study provides theoretical foundations and technical implementations of Instruction fine-tuning and LoRA fine-tuning. Through rigorous experimental validation, it is demonstrated that the proposed method significantly improves the precision and efficiency of data analysis, outperforming traditional fine-tuning methods. This enhancement is not only beneficial for national R&D data but also suggests potential applicability in various other data-centric domains, such as medical data analysis, financial forecasting, and educational assessments. The findings highlight the method's broad utility and significant contribution to advancing data analysis techniques in specialized knowledge domains, offering new possibilities for leveraging LLMs in complex and resource-intensive tasks. This research underscores the transformative potential of combining Instruction fine-tuning with LoRA fine-tuning to achieve superior performance in diverse applications, paving the way for more efficient and effective utilization of LLMs in both academic and industrial settings.

• Educational Technology International
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• v.8 no.2
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• pp.93-112
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• 2007

This case study explored the potential for implementing content-based English as a Foreign Language (EFL) instruction in a Korean middle school facilitated by computer-mediated communication (CMC). The instructor scaffolded the student participant's language learning online, helping her to produce English output on her own. While experimental social studies lessons on the topic of stereotyping were taught, data were collected on the student's online exchanges with her counterpart in Iran about their respective cultures. Findings show that the student from Korea was able to better understand her own culture as a result of the online experience. This interaction and the in-class lessons have demonstrated that content-based EFL instruction is a viable alternative to the school's existing curriculum.

• Cross-Cultural Studies
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• v.36
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• pp.149-173
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• 2014

This paper examines language policies of Ghana and Tanzania (former British Colonies) since independence. The view that language use in education is a problem for African countries is evident in the ever changing language in education policies in many African countries. Because of the inevitable multilingual situation in many African countries, there are unavoidable challenges in their quest to adopt a language policy that works for the entire country since it is not practical to adopt all the languages spoken in the country as Media of Instruction. Ghana is not immune to this challenge and has fallen victim to this tendency to change the language in education policy from time to time in an attempt to adopt a satisfactory policy which would yield the intended results. Tanzania, however, is one of the few African countries that have found a sustainable language in education policy since independence. Nonetheless, it has its fair share of challenges as a consequence of the perceived competition between Kiswahili and English as official languages. The paper discusses the challenges that both Ghana and Tanzania face against the background of colonization. The paper also offers a discussion on possible future perspectives for the two countries.

• English Language & Literature Teaching
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• v.10 no.3
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• pp.41-66
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• 2004

Under the textbook-driven approach to English education in the Korean selling, the importance of the English textbook can not be overemphasized as the main source of learning materials. Recently, with the development of computer-based language corpora, the recognition of the importance of collocations and the availability of computerized databases of words have caused a resurgence and facilitation in the instruction of collocation. The primary purpose of the present study is to identify the characteristics of lexical collocation and the extent of its use in high school 10th-grade textbooks. From all the analyses, it is revealed that the language materials reflect various constructed collocation in the case of adjective+noun and noun+noun collocations in a natural context. However, verb+noun and adverb+verb collocations are not fully reflected. This is true for delexicalized verbs, and verb and adjective intensifiers. Also the language materials do not provide sufficient support for the lexical syllabus, even though all textbooks may be somewhat adequate in terms of vocabulary size. Finally, based on the analyses of the texts, the suggestions for English collocation instruction are made in the lexical approach.

• 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.

• Journal of The Korean Association of Information Education
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• v.14 no.1
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• pp.89-97
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• 2010

Logical thinking and creative thinking. in the elementary school are very important. Even though these have been studied very many, the computer program education has the lack of instruction strategy. In this paper, the instruction strategies of computer program language education in the elementary school to improve them are proposed. These are the principles of the input and output, effectiveness, generalization, simplification, and the principles of abstraction. These five principles are verified by the 20 experts from deep interview. Using the results of this study will contribute a lot of the program language eduction for elementary school teachers.