• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.59-67
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• 2002

Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

• Journal of the Korean association of regional geographers
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• v.7 no.2
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• pp.97-119
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• 2001

The present education situations are rapidly changing to adapt to 'the Knowledge & Information-based Society'. Especially, the implementation of 'the 7th National Curriculum' put strong emphasis on the learner-centered education that refers to the ability grouping. Therefore, it is necessary that the change from a traditional teaching method to a learner-centered one in geography education will take place. This study will present a design of geography ability grouping through the Task-Solving Learning. This ability grouping method is suitable for the large class. And this study also presents a strategy by applying WBI, which make use of the advantage of computer and constructivism. This WBI model can be applied properly to many teaching-learning methods that includes Self-Directed Learning, Collaborate Learning, Ability Grouping, and Applying ICT Instruction. Actually they are demanded in the current education. A geography-classroom will have an accessible internet program as a precondition for this instruction.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.117-127
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• 2005

Numerous internet pop advertisement are being provided according to the rapid development of e-commercial and a rise in users. However, it has not been based on analysis of users' inclination but just one-sided providing. With that reason, many web-site provider want to advertis e more efficient and distinguished Internet-advertisement as analyzing Server's Log accessed. In this thesis, we have studied and tested relatively simply adoption system to provide personalized advertisement service. In order to influence personal disposition to system as the most effective way, it first of all uses History files as source data and after refining it, it can search not only visitors' inclination but also the others' visit-list on the other server. As a result of it, it can make advertisement more reality and activity.

• Journal of Gifted/Talented Education
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• v.23 no.1
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• pp.25-47
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• 2013

The purpose of this study was to explore the meaning of early entrance experiences of science gifted high school students. The subjects were 13 students who are attending science gifted high school in Seoul. The research data were collected through in-depth interviews. The qualitative study applied the phenomenological method of Giorgi. The early entrance experiences of science gifted high school students were clustered into 13 specific themes and 5 general structures. The results indicated that the early entrance students were surprised by their admissions from the school and they worry about their lack of readiness. However, they follow up their missed 1 year study after all. It took from a few weeks to 1~2 years depending on the student. At any rate, the environment of the school such as differentiated curricular, dormitory life, and studying atmospheres were helpful for the students to adopt easily. Even though they sometimes show a little deficiency, it won't be an issue, they just corporate each other and pursue their studies. As time goes on, they become friends even though they call other students 'big brother'. When the placement of gifted students take place, we do not need to hesitate because of their age, but need to consider the environment of school and characteristics of student.

• The Journal of Korean Association of Computer Education
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• v.10 no.5
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• pp.71-79
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• 2007

The purpose of this research is to show that elements of learning information's record(learning time and the score of practice test) have a significant effect on the correctness of decision when they are applied to e-Learning based on CAT with SPRT model. Especially, the score of practice test can be used in the real e-learning environment as its effect showed approximately 90% improvement. Therefore, if we apply learning information's record to SPRT in evaluation, we can evaluate the learner's ability more precisely and quickly, contributing to the enhancement of the individualization of learners. If an algorithm with variables from learning information's record can be developed, a better e-Learning evaluation program will be made in the future.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.553-560
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• 2022

The research of course-embedded learning evaluation method, which can be used to measure the competency of learners by evaluation of learning outcomes, has been performed for competency-based education in the university. In this paper, we propose an learning evaluation and adaptive feedback model based on learning outcomes, learning subjects, learning concepts graph, and an evaluation matrix. Firstly, we define the layered learning outcomes, a graph of learning subjects and concepts, and two association matric. Secondly, we define algorithms to calculate the level of learning achievement and the learning feedback to learners. We applied the proposed method to a specific course, "Java Programing", to validate the effectiveness of our method. The experimental results show that our proposed method can be useful to measure the learning achievement of learners and provide adaptive feedbacks to them.

• Journal of the Korea Computer Graphics Society
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• v.29 no.1
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• pp.1-11
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• 2023

Deep-learning-based image segmentation is one of the most widely employed lane detection approaches, and it requires a post-process for extracting the key points on the lanes. A general approach for key-point extraction is using a fixed threshold defined by a user. However, finding the best threshold is a manual process requiring much effort, and the best one can differ depending on the target data set (or an image). We propose a novel key-point extraction algorithm that automatically adapts to the target image without any manual threshold setting. In our adaptive key-point extraction algorithm, we propose a line-level normalization method to distinguish the lane region from the background clearly. Then, we extract a representative key point for each lane at a line (row of an image) using a kernel density estimation. To check the benefits of our approach, we applied our method to two lane-detection data sets, including TuSimple and CULane. As a result, our method achieved up to 1.80%p and 17.27% better results than using a fixed threshold in the perspectives of accuracy and distance error between the ground truth key-point and the predicted point.

• Korean Journal of Ichthyology
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• v.36 no.1
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• pp.40-47
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• 2024

The anatomy and histology of the olfactory organ of Monopterus albus was investigated using stereo microscopy, light microscopy, and scanning electron microscopy. The external structure of the olfactory organ exhibited closed anterior and posterior nostrils parallel to the skin surface. The interior structure consisted of a pipe-like chamber, and lower and upper accessory nasal sacs. The olfactory chamber was composed of the sensory and non-sensory epithelium, and an unidentified organ. The sensory epithelium of the pseudostratified epithelial layer was composed of olfactory receptor neurons, supporting cells, basal cells, and lymphatic cells; and the non-sensory epithelium of the stratified squamous layer contained stratified epithelial cells and mucous cells with acidic mucopolysaccharides. The presence of intraepithelial blood capillaries and abundant dermal vascularization in the sensory epithelium of the olfactory chamber may provide strong histological evidence that respiration occurs through the olfactory epithelium.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.1
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• pp.136-142
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• 2011

As the competition among college graduates in the job market keeps getting intense, the educators' role of preparing students to get well adapted to the job environments should be more emphasized. However, in reality, many firms admit that many entry-level employees out of college need to be reeducated in a variety of areas. To resolve this problem, the current paper aims to propose some suggestions for a better school curriculum that reflects the needs and demands of the industry. The present proposal is based on my empirical knowledge from the department of computer science of the college where I am teaching and can be applied to other colleges. The suggestions for restructuring of a curriculum are expected to help students actively deal with the trend of developing technology. This restructured curriculum should help colleges produce workers with a good balance of academy and industry who can be assigned to work without being reeducated in the field.