• The KIPS Transactions:PartA
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• v.10A no.4
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• pp.321-330
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• 2003

This paper proposes an agent-based adaptive tutoring system that monitors learning process of learners' and provides learning materials dynamically according to the analyzed learning character. Furthermore, it uses fuzzy concept to evaluate learners' ability and to provide learning materials appropriate to the level of learners'. For this, we design a courseware knowledge structure systematically and then construct a fuzzy level set on the basis of it considering importance of learning targets, difficulty of learning materials and relation degree between learning targets and learning materials. Using agent, monitoring continually the learning process of learners 'inferencing to offer proper hints in case of incorrect answer in learning assesment, composing dynamically learning materials according to the learning feature and the evaluation of assesment, our system implements effectively adaptive instruction system. Moreover, appling the fuzzy concept to the system could naturally consider and ideal with various and uncertain items of learning environment thus could offer more flexible and effective instruction-learning methods.

• Journal of The Korean Association of Information Education
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• v.1 no.1
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• pp.62-73
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• 1997

Open education can be defined as education which apply rule of respect, rule of freedom, rule of individual instruction, and rule of environment. The purpose of this study was to look into the present condition of individual instruction, to find the problems of instruction, especially ill practical arts, and then to suggest the improvement plans on the problems. In order to solve the problems, after briefly reviewing theoretical background of open education, we suggested a CAI(Computer Assisted Instruction) program which was made by Chinju National University of Education and KEDI(Korean Educational Development Institute). And then we applied the program to the classes of the 4th grade of elementary school. In this thesis, we didn't analyze the result of the questionnaire or interview, however, it is believed that using CAI program is a adaptive lesson method of individual instruction.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.39-42
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• 1999

Adaptive array is using the array of antenna elements spatially and its output is the sum of each antenna elements output signal which is multiplied by the controlled weight coefficients corresponding to each elements. In this paper, for the BPSK and BFSK signals with S/I=2, S/N=10 is applied to the linear array antenna using the LMS & the Kalman filter algorithm. For the 4 elements equidistance linear array antenna system LMS and Kalman filter algorithm was used as the adaptive instruction principles and the application results to the constant amplitude envelope signals such as BPSK or BFSK can be seen that the computer simulation results are very fast in the convergence characteristics of directional patterns and the signal following characteristics.

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.199-203
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• 2002

Adaptive array is using the array of antenna elements spatially and its output is the sum of each antenna elements output signal which is multiplied by the controlled weight coefficients corresponding to each elements For the 4 elements equidistance linear array antenna system LMS and RLS algorithm was used as the adaptive instruction principles and the application results to the constant amplitude envelope signals such as BPSK can be seen that the computer simulation results are very fast in the convergence characteristics of directional patterns and the signal following characteristics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.3
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• pp.501-507
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• 1999

At the mobile unit for adaptation the propagation environment, it is necessity to adapt very fast the weight coefficient vector of adaptive array antenna In this paper, for the BPSK and BFSK signals with S/I=2, S/N=10 subband adaptive array signal processing method to the linear array antenna using the LMS & the Kalman filter algorithm is proposed. For the 4 elements equidistance linear array antenna systems LMS and Kalman algorithms with subband adaptive instruction principles using the subband signal processing method are adopted and the computer simulation results to the constant amplitude envelope signals such as BPSK or BFSK can be seen that the convergence characteristics of directional patterns and the signal following characteristics are more fast and stable.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.497-502
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• 2002

Conditional branches can severely limit the performance of instruction level parallelism by causing branch penalties. 2-level adaptive branch predictors were developed to get accurate branch prediction in high performance superscalar processors. Although 2 level adaptive branch predictors achieve very high prediction accuracy, they tend to be very costly. In this paper, set-associative cached correlated 2-level branch predictors are proposed to overcome the cost problem in conventional 2-level adaptive branch predictors. According to simulation results, cached correlated predictors deliver higher prediction accuracy than conventional predictors at a significantly lower cost. The best misprediction rates of global and local cached correlated predictors using set-associative caches are 5.99% and 6.28% respectively. They achieve 54% and 17% improvements over those of the conventional 2-level adaptive branch predictors.

• Journal of The Korean Association For Science Education
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• v.18 no.2
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• pp.161-171
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• 1998

The effects of computer-assisted instruction (CAl) using molecular-level animation upon students' conceptions, attitudes toward science instruction, and learning motivation were investigated. Treatment and control groups (2 classes) were selected from a girls middle school in Seoul, and taught about the motion of molecule for 5 class hours. Before instruction, the short-version Group Assessment of Logical Thinking (GALT) and the Patterns of Adaptive Survey were administered, and the grade for the previous science course was obtained. The GALT score was used as a blocking variable, and the others as covariates. After the instructions, the researcher-made conceptions test, the test of attitudes toward science instruction, and the motivation questionnaire were administered. The perception questionnaire of CAl was also administered to the treatment group. Although more students in the CAl group had sound understanding about the motion of molecule, the scores of the conceptions test for the two groups were not significantly different at .05 level of significance. The students in the CAl group, however, were found to have more positive attitudes toward science instruction and learning motivation. In the perception questionnaire of CAl, most students in the treatment group exhibited positive attitudes toward the CAl. However, some students mentioned that they were disturbed by noisy environments, and that they could not understand some content presented. Educational implications are discussed.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.29-39
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• 2006

In this paper, we propose an adaptive tutoring system, which analyzes learning process, subject materials, and test items of students, diagnoses learning problems of them, and then gives proper advice accordingly. In the system, learning materials are constructed using concept map, on which the relationships among learning concepts are represented. Concept map can be used for several purposes in instruction process. Our work considers that new learning knowledge is dependent on what is already known. That is, it means that precedent concepts should be thoroughly learned for students to comprehend new concepts. After grasping the learning state of students for precedent concepts to be required before learning new concepts, our system provides proper learning materials for want of them, diagnoses the concepts which students have trouble to understand in the learning process, and provides suggestions for it.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.37-45
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• 2004

With the rapid growth of the Web technologies, the Web has changed teaching and learning as well as our life in various ways. Web-based instruction (WBI) supports self-directed and creative learning at anytime anywhere. However, learners may experience the problems of disorientation and cognitive overload when the hyperspace that consists of learning materials is complex. In this paper, we present a Web-based adaptive hypermedia system based on cognitive load theory which can reduce cognitive loads that novices may experience when they learn programming