• East Asian mathematical journal
• /
• v.28 no.4
• /
• pp.383-401
• /
• 2012

The purpose of mathematics education includes two important areas; cognitive area that emphasizes mathematical knowledge and understanding and affective area that stresses mathematical interest and attitude. The purpose of mathematics education is not only in acquiring the contents and knowledge but also rousing up interest and attention toward mathematics. Therefore, effort to accomplish this affective purpose has to be made. Introducing history of mathematics to teaching can be a important method for the students to arouse interest and attention toward mathematics. History of mathematics can help the students who are familiar to only manipulation of the symbols to develop a new way of thinking and mathematical thoughts arousing reflective thinking. According to the survey, although the effect of using mathematics history has been recognized, the mathematics history has neither been developed as teaching materials nor reflected in the courses of study. The purpose of this research is to develop the reading materials into suit for the mathematics curriculum to extract contents of the mathematics valuable in using in elementary mathematics teaching, and to investigate the effect of reading materials using the history of mathematics on learning attitude in elementary school. The way of developing materials in this study is as follows. First, to select the interesting and instructive subject for the elementary students such as the story and life of a mathematician, developmental stages of mathematical theory and calculation currently used and finding the patterns of the rules that requires mathematical thoughts. Second, to classify the selected items according to mathematics curriculum. Third, to reorganize the classified items of the appropriate grade with the reading materials of dialogue pattern in order to draw attention and interest from the students I developed 18 kinds materials in accordance with the above procedure and applied 5 materials among them to one class in 4th grade. Analysing the student's responses, First, using history of mathematics helps the students to arouse interest and confidence on mathematical learning attitude. And the students became better attitude of studying by oneself and attention on class. Second, as know by opinions after lesson, most students have a chance refresh one's thinking of mathematics, want to know the other content of history of mathematics and responded to study hard in mathematics. As a result, the reading materials on the basis of the history of mathematics motivates students for mathematics and helps them become confident in mathematics. If the materials are complemented properly, they will be useful and effective for students and teachers.

• The Journal of the Korea Contents Association
• /
• v.21 no.7
• /
• pp.45-58
• /
• 2021

This study aims to select representative performance art visualization projects that react to changes in the culture enjoyment methods and needs of contemporary performance art consumers for performance art culture value creation and vitalization that suit the Fourth Industry and a global age, verify new cultural value creation possibilities of performance projects, and look into important matters and keynotes of production processes. Focusing on the report 'NT Live-Digital broadcast of theatre Learning from the pilot season'(2011), a thorough analysis was conducted on the Royal National Theatre of England, a leading model of cinema broadcast performance visualization projects, including the purpose, production processes (copyright agreements, personnel compositions, filming and broadcasting), marketing methods, and audiences of its "NT Live" project and observations were made of production processes and cultural and artistic values that differ from existing performance art to examine administrative and financial keynotes for the sustainability of performance visualization projects. Through this, possibilities of source creations with artistic, cultural, and economic values that cinema broadcast (live performance broadcast) performance viewing methods have as a new form of performance art products can be verified. In addition, the development of various performance approaches that respond to the culture enjoyment methods and consumption patterns of audiences will result in the vitalization of performing arts visualization projects through the enhancement of popular appeal and the expansion of audience types of the performing arts field.

• Journal of the Korea Convergence Society
• /
• v.10 no.3
• /
• pp.1-6
• /
• 2019

In modern society, lifestyle and individuality are important, and personalized lifestyle and patterns are emerging. The number of people with articulation diseases is increasing due to wrong living habits. In addition, as the number of households increases, there is a case where emergency care is not received at the appropriate time. We need information that can be managed by ourselves through accurate analysis according to the individual's condition for health and disease management, and care appropriate to the emergency situation. It is effectively used for classification and prediction of data using CNN in deep learning. CNN differs in accuracy and processing time according to the data features. Therefore, it is necessary to improve processing speed and accuracy for real-time healthcare. In this paper, we propose motion monitoring using Mask R-CNN for articulation disease management. The proposed method uses Mask R-CNN which is superior in accuracy and processing time than CNN. After the user's motion is learned in the neural network, if the user's motion is different from the learned data, the control method can be fed back to the user, the emergency situation can be informed to the guardian, and appropriate methods can be taken according to the situation.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.19 no.4
• /
• pp.26-39
• /
• 2020

This study analyzed the usage characteristics and requirements of students who are users of the middle school education space, and the following results were obtained: First, we could see that various types of classes were needed, such as lecture-style classes, team projects, and four-person consultation and discussion classes, in a way that helped to improve the desirable teaching patterns and learning ability. Second, the place where space was used during the break and the relationship between peers, revealed that most of them were in the classroom and the hallway, and the peer group was composed of three to eight people or more, that were active with various compositions. Third, a gym, library, toilet, stairway, cafeteria, nurse's office, and teachers' room appeared in the center of the building, indicating the need for a balanced layout. Fourth, physical education (dance) rooms, audiovisual rooms (performance rooms), workshops (personal creation), snack bar, rest area, spacious indoor square, and study rooms were needed as facilities that can help learning activities other than current facilities. These outcomes show that the existing classroom layout and space composition formats require some spatial restructuring.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1047-1056
• /
• 2022

Sea ice, frozen sea water, in the Artic is a primary indicator of global warming. Due to its importance to the climate system, shipping-route navigation, and fisheries, Arctic sea ice prediction has gained increased attention in various disciplines. Recent advances in artificial intelligence (AI), motivated by a desire to develop more autonomous and efficient future predictions, have led to the development of new sea ice prediction models as alternatives to conventional numerical and statistical prediction models. This study aims to evaluate the performance of the two-stream convolutional long-and short-term memory (TS-ConvLSTM) AI model, which is designed for learning both global and local characteristics of the Arctic sea ice changes, for the minimum September Arctic sea ice from 2001 to 2021, and to show the possibility for an operational prediction system. Although the TS-ConvLSTM model generally increased the prediction performance as training data increased, predictability for the marginal ice zone, 5-50% concentration, showed a negative trend due to increasing first-year sea ice and warming. Additionally, a comparison of sea ice extent predicted by the TS-ConvLSTM with the median Sea Ice Outlooks (SIOs) submitted to the Sea Ice Prediction Network has been carried out. Unlike the TS-ConvLSTM, the median SIOs did not show notable improvements as time passed (i.e., the amount of training data increased). Although the TS-ConvLSTM model has shown the potential for the operational sea ice prediction system, learning more spatio-temporal patterns in the difficult-to-predict natural environment for the robust prediction system should be considered in future work.

• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.277-299
• /
• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• Journal of The Korean Association For Science Education
• /
• v.29 no.5
• /
• pp.477-491
• /
• 2009

The purpose of this study is to analyze activities of mentally retarded students studying science within inclusive classes from the aspect of activity sharing to investigate ways of improving their involvement in the tasks. For this study, three mentally retarded students and their peer group in inclusive classes were observed and videotaped for 12 science class sessions about forces and waves. There were many cases in which task involvement of mentally retarded students changed according to three degrees of their activity sharing: well-synchronized, delayed and estranged. When degrees of activity sharing were estranged or delayed, task involvement of the mentally retarded students faded from activeness to passiveness. When the degree of activity sharing was well-synchronized, the mentally retarded students showed interest in learning and were able to participate in science class more actively. Different patterns of activity sharing of mentally retarded students between teacher-centered activities and student-centered activities were observed. In most cases of teacher-centered activities, the monotonous pace could deprive the mentally retarded students of their chance to catch up. As a result, their delayed degrees of activity sharing were faded into estranged degrees. In many cases of student-centered activities, various pacing according to the groups or students could provide mentally retarded students with a chance to catch up, so they could be well-synchronized. In one case of teacher-centered activity, the mentally retarded students were well-synchronized with the teacher's repeated explanations and well-matched illustrations on the blackboard and textbooks. In some cases of student-centered activities, students were well-synchronized with positive relations with and appropriate intervention by other students. In conclusion, various approaches to encourage activity sharing of mentally retarded students with normal ones should be pursued to improve task involvement and academic achievement of mentally retarded students.

• Journal of The Korean Association For Science Education
• /
• v.44 no.1
• /
• pp.39-55
• /
• 2024

This study aimed to examine research trends related to Natural Language Processing (NLP) in science education by analyzing 37 domestic and international documents that utilized NLP techniques in the field of science education from 2011 to September 2023. In particular, the study systematically analyzed the content, focusing on the main application areas of NLP techniques in science education, the role of teachers when utilizing NLP techniques, and a comparison of domestic and international perspectives. The analysis results are as follows: Firstly, it was confirmed that NLP techniques are significantly utilized in formative assessment, automatic scoring, literature review and classification, and pattern extraction in science education. Utilizing NLP in formative assessment allows for real-time analysis of students' learning processes and comprehension, reducing the burden on teachers' lessons and providing accurate, effective feedback to students. In automatic scoring, it contributes to the rapid and precise evaluation of students' responses. In literature review and classification using NLP, it helps to effectively analyze the topics and trends of research related to science education and student reports. It also helps to set future research directions. Utilizing NLP techniques in pattern extraction allows for effective analysis of commonalities or patterns in students' thoughts and responses. Secondly, the introduction of NLP techniques in science education has expanded the role of teachers from mere transmitters of knowledge to leaders who support and facilitate students' learning, requiring teachers to continuously develop their expertise. Thirdly, as domestic research on NLP is focused on literature review and classification, it is necessary to create an environment conducive to the easy collection of text data to diversify NLP research in Korea. Based on these analysis results, the study discussed ways to utilize NLP techniques in science education.

• Korean Journal of Cognitive Science
• /
• v.35 no.3
• /
• pp.205-224
• /
• 2024

The reading processes of Chinese-Korean bilinguals, who have learned Korean as a foreign language, are expected to show different eye movement patterns compared to native Korean speakers. Moreover, these bilinguals may utilize knowledge similar to Chinese in processing Korean word meanings, especially for Sino-Korean words that share semantic relationships with Chinese, potentially processing them faster than native Korean words. This study observed whether Chinese-Korean bilinguals show the word frequency effect typically observed in Korean native speaker reading during Korean sentence reading. Additionally, eye-tracking experiments were conducted under conditions distinguishing between native Korean words and Sino-Korean words to investigate whether there is an advantage in processing Sino-Korean words. The results of the experiments showed that Chinese-Korean bilinguals did not show the same frequency effects as native Korean speakers, and they showed shorter response times in the Sino-Korean condition compared to the native Korean condition. Based on these findings, it is suggested that Chinese-Korean bilinguals, when learning Korean as a foreign language, employ strategies focused on meaning similarity akin to their native language vocabulary acquisition strategies, and they process Sino-Korean words faster than native Korean words, suggesting a potential advantage in learning and processing Sino-Korean vocabulary.

• Progress in Medical Physics
• /
• v.20 no.3
• /
• pp.132-138
• /
• 2009

Studies on target motion in 4-dimensional radiotherapy are being world-widely conducted to enhance treatment record and protection of normal organs. Prediction of tumor motion might be very useful and/or essential for especially free-breathing system during radiation delivery such as respiratory gating system and tumor tracking system. Neural network is powerful to express a time series with nonlinearity because its prediction algorithm is not governed by statistic formula but finds a rule of data expression. This study intended to assess applicability of neural network method to predict tumor motion in 4-dimensional radiotherapy. Scaled Conjugate Gradient algorithm was employed as a learning algorithm. Considering reparation data for 10 patients, prediction by the neural network algorithms was compared with the measurement by the real-time position management (RPM) system. The results showed that the neural network algorithm has the excellent accuracy of maximum absolute error smaller than 3 mm, except for the cases in which the maximum amplitude of respiration is over the range of respiration used in the learning process of neural network. It indicates the insufficient learning of the neural network for extrapolation. The problem could be solved by acquiring a full range of respiration before learning procedure. Further works are programmed to verify a feasibility of practical application for 4-dimensional treatment system, including prediction performance according to various system latency and irregular patterns of respiration.