• The Plant Pathology Journal
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• v.38 no.4
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• pp.395-402
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• 2022

To predict rice blast, many machine learning methods have been proposed. As the quality and quantity of input data are essential for machine learning techniques, this study develops three artificial neural network (ANN)-based rice blast prediction models by combining two ANN models, the feed-forward neural network (FFNN) and long short-term memory, with diverse input datasets, and compares their performance. The Blast_Weathe long short-term memory r_FFNN model had the highest recall score (66.3%) for rice blast prediction. This model requires two types of input data: blast occurrence data for the last 3 years and weather data (daily maximum temperature, relative humidity, and precipitation) between January and July of the prediction year. This study showed that the performance of an ANN-based disease prediction model was improved by applying suitable machine learning techniques together with the optimization of hyperparameter tuning involving input data. Moreover, we highlight the importance of the systematic collection of long-term disease data.

• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2026-2033
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• 2023

Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.69-78
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• 2014

The purpose of this paper is to analyze a developing process of 3D STEAM based G learning contents. STEAM means Science, Technology, Engineering, Art, Mathematics. It is focused on to raise students interest on science and technology through integrating the subjects together. Also it's purpose is to raise students understanding capabilities on technology convergence and problem solving. Therefore, this paper focused on the analysis of the development of 3D STEAM based G learning contents. Science topic, 'solar system and stars' was decided as a G learning based contents. Students showed higher immersion and motivation on the contents.

• Korean Journal of Clinical Pharmacy
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• v.32 no.4
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• pp.281-287
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• 2022

Pharmacists should maintain professional competencies to provide optimal pharmaceutical care services to patients, which can be achieved through continued commitment to lifelong learning. Traditionally continuing education (CE) has been widely used as a way of lifelong learning for many healthcare professionals. It, however, has several limitations. CE is delivered in the form of instructor-led education focused on multiple learners. Learning is passive and reactive for participants, so it sometimes does not lead to bringing behavioral changes in workplace performance. Therefore, recently the concept of lifelong learning tends to move from CE toward continuing professional development (CPD). CPD is an ongoing process that improves knowledge, skills, and competencies throughout a professional's career. It is a more comprehensive structured approach toward the enhancement of personal competencies. It emphasizes an individual's learning needs and goals and enables learning to become proactive, conscious, and self-directed. CPD consists of four stages: reflect, plan, learn, and evaluate. CE is one component of CPD. Each stage is recorded in a CPD portfolio. There are many practical difficulties in implementing the complete CPD system for lifelong learning of pharmacists in many countries including Korea. Applying a hybrid form that utilizes CPD and CE together, as in the case of some countries, could be an alternative. Furthermore, in undergraduate pharmacy education, it is necessary to teach students about CPD and train them on how to perform CPD as a pharmacist.

• Korean Journal of Artificial Intelligence
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• v.11 no.2
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• pp.19-27
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• 2023

In recent times, an exponential increase in Internet traffic has been observed as a result of advancing development of the Internet of Things, mobile networks with sensors, and communication functions within various devices. Further, the COVID-19 pandemic has inevitably led to an explosion of social network traffic. Within this context, considerable attention has been drawn to research on network traffic analysis based on machine learning. In this paper, we design and develop a new machine learning framework for network traffic analysis whereby normal and abnormal traffic is distinguished from one another. To achieve this, we combine together well-known machine learning algorithms and network traffic analysis techniques. Using one of the most widely used datasets KDD CUP'99 in the Weka and Apache Spark environments, we compare and investigate results obtained from time series type analysis of various aspects including malicious codes, feature extraction, data formalization, network traffic measurement tool implementation. Experimental analysis showed that while both the logistic regression and the support vector machine algorithm were excellent for performance evaluation, among these, the logistic regression algorithm performs better. The quantitative analysis results of our proposed machine learning framework show that this approach is reliable and practical, and the performance of the proposed system and another paper is compared and analyzed. In addition, we determined that the framework developed in the Apache Spark environment exhibits a much faster processing speed in the Spark environment than in Weka as there are more datasets used to create and classify machine learning models.

• Human Ecology Research
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• v.54 no.4
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• pp.365-384
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• 2016

The purpose of this research is to apprehend what the power of professional learning community (PLC) to make home economics teachers participate is and how PLC activity contributes to reflective practice and change of participating home economics teachers by experiencing reflective practices. For this, self-reflective action research of Kemmis and McTaggart was conducted. Six home economics teachers participated voluntarily and totally 18 PLC sessions from May 31, 2013 to May 19, 2014 were held. Two themes of 'looking in classes' as a main practice theme and 'designing classes together' as a supporting theme were carried. Findings and conclusions of this study are as following. First, participants of PLC to get data and information on teaching and to solve problems with fellow teachers for better classes at first. However, they have become to comfort and sympathize each other about difficulties in school as home economics teachers. Second, through the PLC activity, they found they had uncomfortable belief about teaching and tried to practice solutions by critical and reflective thinking. Third, they put efforts in finding alternative framework of looking inside their classes for the fundamental improvement in teaching. For this, they formulated questionnaire to describe their own reflective practice through the alternative framework from a critical perspective in teaching, a view of student's learning, and a teacher's inner view for improvement of practice. Fourth, PLC activity for a year allowed them to combine theory and reality though reflective process by designing classes together and reflectively practicing them in classes.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.498-508
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• 2012

The purpose of this study is to develop an e-PBL prototype using IMS Learning Design(IMS LD). The e-PBL prototype using IMS LD included 1) developing learning contents and learning activities together, 2) designing learning contents and learning activities which are appropriated to learning outcome and students' roles, and 3) designing the expected notification supporting learners' activity and lessening the engagement of instructors in a process of e-PBL. The implications of this prototype are to expand the boundary of e-learning design for contents-oriented design to activity-oriented design and to suggest the possibility of adaptive and collaborative e-learning.

• Knowledge Management Research
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• v.19 no.3
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• School Mathematics
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• v.4 no.2
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• pp.283-296
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• 2002

In this study we tried to find the method of using the tangrams and the mosaic puzzles together for learning the elementary geometry in the Korean primary schools. The tangram and the mosaic puzzle activity-panels were developed and the activity-cards for them also were designed. The criteria to be used for the analyses of contents of the activity-cards were developed. We surveyed and analyzed the students' responses, A previous research had insisted that solely using the tangrams were not useful in learning about an obtuse-angled triangle in the elementary geometry (Welchman, 1999), but the combinative uses of the tangrams and the mosaic puzzles were found to extend the limits of the previous study in investigating the figures of the plain diagrams. Actually, the tangrams and the mosaic puzzles helped the students to learn the concepts of several elements of the plain diagrams such as 'angles', 'sides', and 'angular points', with students'operational comparison of the diagrams developed with them. They also provided useful clues in learning the relationship between the 'length' and the 'area' of the Plain diagrams. The students participated in the class with much activities, using the operational learning materials. They also comprehended the concepts and the principles of the elementary geometry more thoroughly, expressing their ideas in spoken or written languages through interactive communication. In conclusion, the tangram and mosaic puzzles can be used for learning the elementary geometry of the primary school level as motivative learning materials, helping students enhance diverse mathematical thinking and discover mathematical principles.

• Journal of the Korean School Mathematics Society
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• v.7 no.1
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• pp.121-138
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• 2004

For the efficient application of curriculum discretion activity, I developed the program, 'Let's go together', so that curriculum discretion activity can be applied in the classroom. The program consists of several experiences, which are <Man to man paired study>, <the learning materials for Mathematics in our lives>, <the cooperative study in the class> and <the variety experiences about Mathematics>. This study shows the following results: First, T-test about the students' learning attitude and interest in Mathematics, there was dramatic change in students' desire, interest and attitude for mathematics learning. Second, as the role of Baewomi & Dowomi in 'Man to man paired study', Baewomi & Dowomi provided students with confidence of mathematics learning. We were able to ensure this fact from students' essay after the class. Third, teachers found that the number of students who had positive attitude with Self-directed study increased. And students tried to solve mathematical problems by themselves and the time using self-directed learning experience was also increased. This study suggests that there needs more development for learning materials for mathematics in our lives.