• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1681-1684
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• 2003

We propose the intelligent tutoring system for the mobile english learning. The proposed system is based on the item response theory to analyze the level of learner. We define the types of item, teaching method and item disposition according to contents modeling. The system estimates the learner level and it gives the learning contents, the evaluation results, and feedback. The system gives those by inference engine which consists of learner's level estimation value, method diagnostic value and disposition diagnostic value.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.438-448
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• 2005

This paper proposes an adaptive tutoring system that provides learning materials dynamically according to the learners' teaming character and ability. Our system, in which a learning phase and a test phase are linked together, supports the personalized instruction-learning by providing the teaming materials by level in the learning phase according to the teaming ability estimated in the test phase. We design and implement a tutoring system consisted of an evaluation component and a learning component. An evaluation component uses a computerized adaptive test(CAT) based on item response theory to evaluate learners' ability while a learning component employs fuzzy level set theory so that teaming contents are provided to learners according to learners' level.

• The KIPS Transactions:PartA
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• v.18A no.6
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• pp.241-248
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• 2011

Many learning systems are applying Self-Directed Learning to improve learning efficiency. The degree of understanding of the same learning contents can be different even if the learner's level is same. Therefore, it is difficult to represent an effective learning experience because the learning is progressed by the determined difficulty of learning and the learning process even thought the provided content is difficult to understand. In this paper, we augmented SCORM to reconstruct the learning contents which are suitable for the changed level of each learner in real-time. Also, we designed and implemented this augmented SCORM based DCOS(Differential Contents Organization System). In order to provide the suitable contents for each learner, DCOS reorganizes learning contents based on the learner's level, the learner's achievement of learning objectives, and the correlation between learning objects, that is the component of the learning content. Each 30 Each 30 students studied e-learning contents, which are constructed based on the existing System and DCOS respectively. And the average score and system's satisfaction of the students who studied DCOS based e-learning contents was higher.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.9
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• pp.1711-1716
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• 2008

The recent change of educational evaluation puts particular emphasis on performance assessments which can appraise learning processes as well as learning results. The performance assessment is not only helpful for the improvement of teaching and learning methods, but also for making the learning activities significant to learners themselves. In this paper we propose and implement a system to support the internet-based and essay-typed performance assessment, in which student's performance can properly be evaluated. Teachers can be relieved from the burden of testing and provided with convenient methods of evaluation. We analyze the performance of the implemented system by evaluating practical usages of selected instructors and students group.

• Journal of Fisheries and Marine Sciences Education
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• v.15 no.2
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• pp.184-192
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• 2003

When the present Learning System for Computer-Related Subjects Using WBI is implemented on the Web with the above characteristics to help students to study computer subjects without any limitations of time or space, they can easily attain the goals of learning, have computer-utilizing abilities or information capacity, and enhance their capabilities for self-initiative learning. This system enables the learners to carry out 'plan-do-see' for the contents of learning initiatively. The learners can study the practice part of the curriculum using multi-media, such as motion pictures, voices, images, and sound effects, vividly with a sense of actual presence. It helps the students to have an active attitude toward leaning afterward. without meeting the teacher or without any storage media, the leaners can submit their assignments or materials for performance evaluation via the Internet.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.732-737
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• 2008

As e-learning is recognized in new education form, Learning Management System that manage general activity of learning to maximize effect of education is being developed actively. Usually, Learning Management System includes course registration and learning as well as learner's learning recording and tracking, evaluation in online. But, most systems is lacking a tool that learners can collaborate with companion learners, and planning learning and set valuation basis as leading. In this paper, we can expect effective collaborative learning activities because can make debate and team project smooth by suggesting collaborative learning module that can drive voluntary participation such as group formation, learning plan, mutually estimation as leading to learner in Learning Management System of blended learning base that support online and offline environment both.

• Management & Information Systems Review
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• v.2
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• pp.311-334
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• 1998

By decreasing in CPU price and development of computer assembling technology, personal computer fake a good chance to accelerate its supply. Recently, as being introduced new computing technology so called multi media, teaming assist system which is based on single media such as studying book, cassette tape, video tape, or something else is rapidly being replaced by new assist education system based on multi media in which it is operated by the personal computer. In the computer assist education system, there is an evaluation module which appraise learner's study level into the next study strategy. At the view of this point, this part is very important. In this part, there are some factors like Importance, complexity, or difficulty which commonly include fuzzy factors in our surrounding. But until now, we are still out of the level to handle the evaluation module adequately among the some studies. In this study, we would like to suggest a new module that evaluate learning achievement of ICAI which have a variety of fuzzy environment. We combine Independent fuzzy environment like importance, complexity, difficulty into making total evaluation of learner's achievement. By the result, with expressing by linguistic form, this study can provide the theoretical basis in which we will be able to carry out sentence toward evaluation among elementary school.

• Journal of the Korean School Mathematics Society
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• v.13 no.1
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• pp.125-141
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• 2010

The aim of this paper is to develop a web-based Virtual Learning System for discrete mathematics learning using CAS (Computer Algebra System), The system contains a series of contents that are common between secondary und university curriculum in discrete mathematics such as sets, relations, matrices, graphs etc. We designed and developed web-based virtual learning contents contained in the proposed system based on Mathematia, webMathematica and phpMath taking advantages of rapid computation and visualization. The virtual learning system for discrete math provides movie lectures and 'practice mode' authored with phpMath in order to enhance conceptual understanding of each movie lesson. In particular, matrix learning is facilitated with conceptual diagram that provides interactive quizzes. Once the quiz results are submitted, Bayesian inference network diagnoses strong and weak parts of learning nodes for generating diagnostic reports to facilitate personalized learning. As part of formative evaluation, the overall responses were collected for future revision of the system with 10 university students.

• Journal of Engineering Education Research
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• v.20 no.4
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• pp.38-50
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• 2017

The purpose of this study is to analyze the current evaluation methods on faculty performance at Korean engineering colleges and develop teaching evaluation indicators for faculty performance. We investigated the faculty performance cases in engineering colleges inside and outside of the Korea, the engineering faculty's awareness of evaluation factors for their educational performance, and the appropriate ratios by indicating factors. Also we developed evaluation indicators for educational achievements to improve the current faculty performance system. 227 engineering faculty members answered our survey questionnaire. The result in the case study on faculty performance evaluation is as follows. First, most items of faculty performance evaluation are about quantitative indicators that can easily conduct objective evaluation. Second, evaluation items of faculty performance are mostly focused on instruction in a classroom. Third, the evaluation by students and administrative managers is more dominant than that by professors or their colleagues, document evaluation than on site evaluation, general evaluation than formative evaluation, and static evaluation than dynamic evaluation. Lastly, Some universities tend to substitute outstanding articles for underperforming instruction. The evaluation indicators that we have developed can be implemented by four types of subjects, such as students, professors, their colleagues, and deans. Also, based on the evaluation indicators, faculties can freely select their evaluation domains depending on the their tracks, such as a teaching track, a research track, or an industry-university cooperation track. The mandatory evaluation fields include teaching, student counselling, teaching portfolio evaluation by mentors or colleagues, class management evaluation by deans, and self-evaluation. The other areas are optional and professors can choose their evaluation factors.

• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.100-104
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• 2020

Over the past several years, deep learning has been widely used for feature extraction in image and video for various applications such as object classification and facial recognition. This paper introduces an implantation of embedded Linux system for embossed digits recognition using CNN based deep learning methods. For this purpose, we implemented a coin recognition system based on deep learning with the Keras open source library on Raspberry PI. The performance evaluation has been made with the success rate of coin classification using the images captured with ultra-wide angle camera on Raspberry PI. The simulation result shows 98% of the success rate on average.