• Journal of Elementary Mathematics Education in Korea
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• v.19 no.3
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• pp.435-455
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• 2015

This study is aimed at analyzing the level change and features of mathematical communication in elementary students' expository writing. 20 students of 5th graders of elementary school in Seoul were given expository writing activity for 14 lessons and their worksheets was analyzed through four categories; the accuracy of the mathematical language, logicality of process and results, specificity of content, achieving the reader-oriented. This study reached the following results. First, The level of expository writing about concepts and principles was gradually improved. But the level of expository writing about problem solving process is not same. Middle class level was lower than early class, and showed a high variation in end class again. Second, features of mathematical communication in expository writing were solidity of knowledge through a mathematical language, elaboration of logic based on the writing, value of the thinking process to reach a result, the clarification of the content to deliver himself and the reader. Therefore, this study has obtained the conclusion that expository writing is worth keeping the students' thinking process and can improve the mathematical communication skills.

• Proceedings of the Optical Society of Korea Conference
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• 1990.02a
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• pp.222-226
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• 1990

This paper represents the construction of laser beam writing system, laser lithography, using new method that guarantees convenience and accuracy in laser focusing. The X, Y translation stage using DC motors was controlled by the computer. Minimum line width of 1.6${\mu}{\textrm}{m}$ was obtained by the laser lithography system.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.11
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• pp.1176-1181
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• 2004

In high-capacity disk drives with ever-growing track density, the allowable level of position error signal(PES) is becoming smaller and smaller. In order to achieve the high TPI(track per inch) disk drive, it is necessary to improve the writing accuracy during the servo track writing(STW) Process through the reduction of track mis-registration sources. Among the main contributors of the non-repeatable runout(NRRO) PES, the disk vibration and the head-stack assembly vibration is considered to be one of the most significant factors. Also the most contributors of repeatable runout(RRO) come from the contributors of NRRO which is written-in at the time of STW process. In this paper, the effect of NRRO on servo written-in RRO is Investigated by experimentally, and the experimental result shows that the written-in RRO can be effectively reduced through a STW process under low dense medium condition such as semi-vacuum.

• Journal of Korean language education
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• v.29 no.3
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• pp.293-324
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• 2018

The purpose of this study was to identify differences in the report assessment patterns of international undergraduate students and instructors. Based on two sample reports, the following differences were confirmed between international students and instructors' assessments of reports. First, instructors and students showed no differences in their assessments of the well-formatted report. However, the two groups exhibited differences in their assessments of the report that was not well formatted in that students evaluated the report more highly than instructors did. Second, instructors and students exhibited notable differences in their assessments of items such as citation, logic, and expression. This may have been because students lacked knowledge on citation methods and the use of grounds for arguments based on citation methods and topics. Third, students and instructors showed differences in their areas of focus when evaluating reports. Instructors mostly focused on the main topics of each report, whereas students focused on supporting details for the main topics. Based on these findings, instructors need to emphasize the following areas in educating international undergraduate students on report writing. First, they should stress proper source citation. They should provide frequent guidance on how to accurately cite sources. Second, they should help students to first think about the overall form and content of their reports. Instructors should emphasize that having a logical overall report structure and content that is relevant to the subject is more important in general than grammar or accuracy of vocabulary.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.282-291
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• 2022

This research applies a pre-trained bidirectional encoder representations from transformers (BERT) handwriting recognition model to predict foreign Korean-language learners' writing scores. A corpus of 586 answers to midterm and final exams written by foreign learners at the Intermediate 1 level was acquired and used for pre-training, resulting in consistent performance, even with small datasets. The test data were pre-processed and fine-tuned, and the results were calculated in the form of a score prediction. The difference between the prediction and actual score was then calculated. An accuracy of 95.8% was demonstrated, indicating that the prediction results were strong overall; hence, the tool is suitable for the automatic scoring of Korean written test answers, including grammatical errors, written by foreigners. These results are particularly meaningful in that the data included written language text produced by foreign learners, not native speakers.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.22-29
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• 2021

This study evaluates the accuracy of corrective feedback from Grammarly, an online grammar checker, on essays written by cyber university learners in terms of detected errors, suggested replacement forms, and false alarms.The results indicate that Grammarly has a high overall error detection rate of over 65%, being particularly strong at catching errors related to articles and prepositions. In addition, on the detected errors, Grammarly mostly provide accurate replacement forms and very rarely make false alarms. These findings suggest that Grammarly has high potential as a useful educational tool to complement the drawbacks of teacher feedback and to help learnersimprove grammatical accuracy in their written work. However, it is still premature to conclude that Grammarly can completely replace teacher feedback because it has the possibility (approximately 35%) of failing to detect errors and the limitationsin detecting errors in certain categories. Since the feedback from Grammarly is not entirely reliable, caution should be taken for successful integration of Grammarly in English writing classes. Teachers should make judicious decisions on when and how to use Grammarly, based on a keen awareness of Grammarly's strengths and limitations.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.11
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• pp.116-126
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• 1996

In this paper, we present a character recognition algorithm in printed korean and english documents including touching characters. We derived two rules to segment and recognize touching characters in the bilingual documents, one from the shape characteristics of korean and english characters of the writing blocks defined in this paper, and the other from the RF (reliability factor) values generated from the classifiers. Overall classification accuracy for the KITE paper of the proposed algorithm was about 96.8% for the english abstract, and about 97.8% for the bilingual parts. Also we confirmed the proposed algorithm significantly improves the accuracy of character segmentation of the actual mixed korean and english documents including touching characters.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.71-76
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• 2022

The purpose of this research is to investigate the types of semantic errors made by MT in translating EFL college students' original drafts written in Korean into English. Specifically, this study attempts to find out 1) what types of semantic errors are most frequently committed by MT? and 2) how students feel about the quality of the MT-produced output? The findings from this study indicated that MT produced the errors related to accuracy (47%) the most, followed by the errors related to fluency and ambiguity (14.6% respectively). Students were well aware of the errors with accuracy and fluency but had limited ability to check the errors with ambiguity. Based on the findings, this study suggests pedagogical implications which can be implemented in L2 writing classrooms.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.5
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• pp.53-63
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• 2019

To provide a hand gesture interface through deep learning in mobile environments, research on the light-weighting of networks is essential for high recognition rates while at the same time preventing degradation of execution speed. This paper proposes a method of real-time recognition of written characters in the air using a finger on mobile devices through the light-weighting of deep-learning model. Based on the SSD (Single Shot Detector), which is an object detection model that utilizes MobileNet as a feature extractor, it detects index finger and generates a result text image by following fingertip path. Then, the image is sent to the server to recognize the characters based on the learned OCR model. To verify our method, 12 users tested 1,000 words using a GALAXY S10+ and recognized their finger with an average accuracy of 88.6%, indicating that recognized text was printed within 124 ms and could be used in real-time. Results of this research can be used to send simple text messages, memos, and air signatures using a finger in mobile environments.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.21-31
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• 2024

This study focused on the development of an AI essay tool for assessing writing-communication competence using ChatGPT. During the development process, the interaction between content expert and technical expert was emphasized to explore the fusion of IT and humanities and social sciences. Through close communication and interaction between the content and technical experts, they incorporated scoring criteria for writing-communication competence and developed an AI essay test tool that provides scores and feedback in the appropriateness of content, effectiveness of organization, and accuracy of grammar. This process revealed how content and technology combine and presented considerations for future fusion researchers, including technical experts in generative AI assessment tools.