• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.11
• /
• pp.499-506
• /
• 2017

Chatter bots are normally used in task-oriented dialogue systems to support free conversations. However, there is not much research on how chatter bots as auxiliary system should be different from independent ones. In this paper, we have developed a chatter bot for a dialogue-based computer assisted language learning (DB-CALL) system. We compared the chatter bot in two different cases: as an independent bot, and as an auxiliary system. The results showed that, the chatter bot as an auxiliary system showed much lower satisfaction than the independent one. A discussion is held about the difference between an auxiliary chatter bot and an independent bot. In addition, we evaluated a search-based chatter bot and a deep learning based chatter bot. The advantages and disadvantages of both methods are discussed.

• Communications of Mathematical Education
• /
• v.32 no.1
• /
• pp.1-22
• /
• 2018

The purpose of the study was to examine the effects of mentoring experience in STEAM classes on pre-service mathematics teachers' teaching competency for STEAM education. The study was conducted with 23 pre-service mathematics teachers who participated in the mentoring program affiliated with free learning semester system during one semester. To investigate the changes of pre-service mathematics teachers' teaching competencies for STEAM education and the effects of the mentoring program, pre, post questionnaires, lesson journals, and whole group discussion data were collected. According to the results, pre-service mathematics teachers' competencies for 'knowledge of STEAM education', 'subject matter knowledge', 'teaching and learning methods', and 'learning environments and circumstances' categories were improved significantly after the mentoring program. Especially, some results indicated that pre-service mathematics teachers' teaching experiences in real STEAM classrooms were very helpful for the development of understandings of STEAM education and construction of practical knowledge.

• Journal of the Korean Institute of Educational Facilities
• /
• v.22 no.1
• /
• pp.13-23
• /
• 2015

Currently, the group study becomes the most popular method and common custom for learning in public that is distinctly different from the preferred way of self-study in the last decades. As a result, the college and public facilities have been significantly changed to provide more and more new spaces for discussion, learning and sharing information with others as one of the remarkable improvements and advantages. On the other hands, library is one of the all-important public sites to obtain information and knowledge for students. Moreover, we can split out an individual space from the reading rooms to take part in the group activities such as group meetings and academic exchanges. Recently, several universities begin to recognize the value of group study and try to meet the research needs. Also, needs for students, and the group study rooms are applied into the new buildings and rebuilt ones under this background. In this study, It focuses on analyzing of the 134 group study rooms to investigate the variations in universities and classify the types of buildings with site researches through 14 indicators of indoor environments. To investigate different types of group study rooms, we use the SD method to analyze the findings. So far there is no research focusing on the study rooms, especially for the analysis of their types and indoor environments features. Therefore, this article can provide a theoretical basis and evidence to related researches; also can help us to improve indoor environments to offer a better learning environments for the students in the future.

• Journal of The Korean Association of Information Education
• /
• v.22 no.1
• /
• pp.41-52
• /
• 2018

In Computational thinking is emphasized as a basic learning ability to grow into a key talent in the digital society. There is much interest and discussion on computing education nationally, and the Korean government has also included education in the curriculum. As a result of these changes, the level of computer literacy that preliminary teachers need to be imporved, and the role of computational thinking as a leader in digital society is being emphasized by teachers. Therefore, it is necessary to have a curriculum that can understand computational thinking through various programming learning from preliminary teacher education curriculum. In this study, we designed and taught programming curriculum for non-majored preliminary teachers. Through the developed questionnarie, we analyzed the affect of programming education on the preliminary teacher's development of computational thinking ability.

• Journal of Science and Technology Studies
• /
• v.2 no.2 s.4
• /
• pp.91-122
• /
• 2002

Constructivism has had a great influence on science education over the last two decades. The purpose of this article is twofold: First, to describe the characteristics of constructivism and, second, to suggest an ideal forms of science education in Korea as implied in constructivism. A review of the literature in the first area shows that constructivism is the philosophical/ psychological view which believes in the social nature of the construction of scientific knowledge and its learning. And the analyses of a few schools of constructivism suggests decision-making as a goal of science education, loaming as the active construction of meaning through interaction between learner and learning environments, and discussion and cooperation as appropriate teaching strategies. At the same time, the results necessitate teaching ethical aspects of science in the secondary schools, and also imply that performance assessment must be emphasized in evaluation of science education.

• Journal of The Korean Association For Science Education
• /
• v.32 no.7
• /
• pp.1241-1250
• /
• 2012

The purpose of this study was to investigate core competencies of science-gifted students based on teachers' and students' perceptions. Based on a literature review and focus group interview, 16 core competencies of science-gifted students were drawn. The results of this study were as follows. First, there are significant differences in self-control, self-directed learning, knowledge in one's academic area, research, English, writing, leadership, communication skill, cooperation, and spirit of services between teachers and students. Second, teachers perceived self-directed learning, thinking skills, interests in one's academic area, motivation as the most important core competencies among the 16. Also, teachers perceived the educational program to raise self-control, cooperation and self-directed learning. Further discussion was reviewed.

• Korean Journal of Remote Sensing
• /
• v.36 no.6_2
• /
• pp.1591-1604
• /
• 2020

This study is a study on classifying land cover by applying high-resolution satellite images to deep learning algorithms and verifying the performance of algorithms for each spatial object. For this, the Fully Convolutional Network-based algorithm was selected, and a dataset was constructed using Kompasat-3 satellite images, land cover maps, and forest maps. By applying the constructed data set to the algorithm, each optimal hyperparameter was calculated. Final classification was performed after hyperparameter optimization, and the overall accuracy of DeeplabV3+ was calculated the highest at 81.7%. However, when looking at the accuracy of each category, SegNet showed the best performance in roads and buildings, and U-Net showed the highest accuracy in hardwood trees and discussion items. In the case of Deeplab V3+, it performed better than the other two models in fields, facility cultivation, and grassland. Through the results, the limitations of applying one algorithm for land cover classification were confirmed, and if an appropriate algorithm for each spatial object is applied in the future, it is expected that high quality land cover classification results can be produced.

• International Journal of Computer Science & Network Security
• /
• v.23 no.5
• /
• pp.135-147
• /
• 2023

Internet of things has revolutionaries every field of life due to the use of artificial intelligence within Machine Learning. It is successfully being used for the study of Radiation monitoring, prediction of Ultraviolet and Electromagnetic rays. However, there is no particular system available that can monitor and detect waves. Therefore, the present study designed in which IOT enables intelligence system based on machine learning was developed for the prediction of the radiation and their effects of human beings. Moreover, a sensor based system was installed in order to detect harmful radiation present in the environment and this system has the ability to alert the humans within the range of danger zone with a buzz, so that humans can move to a safer place. Along with this automatic sensor system; a self-created dataset was also created in which sensor values were recorded. Furthermore, in order to study the outcomes of the effect of these rays researchers used Support Vector Machine, Gaussian Naïve Bayes, Decision Trees, Extra Trees, Bagging Classifier, Random Forests, Logistic Regression and Adaptive Boosting Classifier were used. To sum up the whole discussion it is stated the results give high accuracy and prove that the proposed system is reliable and accurate for the detection and monitoring of waves. Furthermore, for the prediction of outcome, Adaptive Boosting Classifier has shown the best accuracy of 81.77% as compared with other classifiers.

• Journal of The Korean Association For Science Education
• /
• v.28 no.5
• /
• pp.359-382
• /
• 2008

There are so many research literatures on conceptual change theory and the nature of concepts such as p-prims, mental model, ontological belief, and cognitive structure. Conceptual change means learning (Vosniadou, 1999; Duit;1999). It is necessary to review and elaborate existing conceptual change theories in order to explain the learning process and its implications. Therefore, we derived from reviewing literatures that learners construct new conceptual structure in response to given contexts at the same time activating their beliefs. We reviewed some mental theories that integrated cognitive and affective components and were based on framework/specific theory or information processing theory. We suggest learners' framework of conceptual structure and conflict model of conceptual structure. We expect to obtain effective ways of science teaching and learning and implications for cognitive conflict and conceptual change from using conceptual structure later.

• East Asian mathematical journal
• /
• v.32 no.4
• /
• pp.545-563
• /
• 2016

The aim of this study was to observe processes and implication to a given program for the 20 gifted children grade 5 by making the number from 1 to 100 with natural numbers 4,4,9 and 9. Revelation of creativity, mathematical tendency of students and meaningful responses were observed by the qualitative records of this game activity and the analysis of result. The major result of a study is as follows: The mathematical creativities of students were revealed and developed by this activity. And the mathematical attitude were changed and developed, so student could actively participate. And students could experience collaborative and social composition learning by presentations and discussion, competition with a permissive atmosphere and open-game rule. It was meaningful that mathematical ideas (negative number, square root, factorial, [x]: the largest integer not greater than x, absolute value, percent, exponent, logarithm etc.) were suggested and motivated by students themselves.