• Journal of the Korean BIBLIA Society for library and Information Science
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• v.13 no.2
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• pp.197-219
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• 2002

Education is an intentional change of human behaviors. This change is implemented through the learning process of humans. The principles in the learning process and its psychological mechanism are based on learning theories. The objective insight about how they are related with school libraries as a basic organization supporting school education, what they can contribute and what their research methodologies are is a base for educational and academic research of school libraries. This study at first is to investigate learning and teaching theories for school libraries based on behavioral learning theories, cognitive learning theories and constructive learning theories which are general trends for learning theories. Then it is to introduce new theory 'library-based education approach (LBEA)'as an educational base of school libraries.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.241-262
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• 2012

An understanding of quality attributes is relevant for the software organization to deliver high software reliability. An empirical assessment of metrics to predict the quality attributes is essential in order to gain insight about the quality of software in the early phases of software development and to ensure corrective actions. In this paper, we predict a model to estimate fault proneness using Object Oriented CK metrics and QMOOD metrics. We apply one statistical method and six machine learning methods to predict the models. The proposed models are validated using dataset collected from Open Source software. The results are analyzed using Area Under the Curve (AUC) obtained from Receiver Operating Characteristics (ROC) analysis. The results show that the model predicted using the random forest and bagging methods outperformed all the other models. Hence, based on these results it is reasonable to claim that quality models have a significant relevance with Object Oriented metrics and that machine learning methods have a comparable performance with statistical methods.

• 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.

• Korean Journal of Clinical Pharmacy
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• v.23 no.4
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• pp.291-299
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• 2013

Purpose: Problem-based learning (PBL) has been adopted to foster active and self-directed learning and enhance critical thinking and problem-solving skills in many health-care academic disciplines in Korea. Interest in PBL has rapidly grown with a 6 year pharmacy degree program in Korea. The objective of this study was to evaluate feasibility of PBL, student satisfaction and academic performance with a self-assessment survey questionnaire. Method: Sixty students participated in the PBL for pharmacotherapy course. Average scores from student self-assessment on participation, satisfaction, and academic performance were $3.85{\pm}0.55$, $2.94{\pm}1.04$, $3.09{\pm}0.91$ out of 5 point lickert scale (1-do not agree at all, 5-agree completely), respectively. Results & Conclusion: The level of participation was positively correlated with improvement of communication skill in academic performance (correlation coefficient 0.27, p=0.037). In the quality analysis of the cases provided for PBL, students who participated more in the PBL greatly agreed the cases given were appropriate to learn fundamental knowledge for each disease state. The students disagreed that PBL was fun. The students stated that PBL was good to experience self-directed learning and clinical context beforehand but too time-consuming to devote and too demanding to commit. Lack of facilitator and insight on active learning should be rectified for successful launch of PBL in Korean pharmacy education.

• Computers and Concrete
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• v.32 no.3
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• pp.263-286
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• 2023

Experimenting with concrete to determine its compressive and tensile strengths is a laborious and time-consuming operation that requires a lot of attention to detail. Researchers from all around the world have spent the better part of the last several decades attempting to use machine learning algorithms to make accurate predictions about the technical qualities of various kinds of concrete. The research that is currently available on estimating the strength of concrete draws attention to the applicability and precision of the various machine learning techniques. This article provides a summary of the research that has previously been conducted on estimating the strength of concrete by making use of a variety of different machine learning methods. In this work, a classification of the existing body of research literature is presented, with the classification being based on the machine learning technique used by the researchers. The present review work will open the horizon for the researchers working on the machine learning based prediction of the compressive strength of concrete by providing the recommendations and benefits and drawbacks associated with each model as determining the compressive strength of concrete practically is a laborious and time-consuming task.

• Journal of the Korean School Mathematics Society
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• v.1 no.1
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• pp.69-79
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• 1998

My suggestions to the teachers on the basis of my research are as follows: 1. A mathematical curriculum in high school requires an intuitive understanding. I'm sure we can not only improve the student's intuition and imagination by Euler's insight and intellectual investigation, but also induce motive and interest in mathematical learning by increasing the inquiry activities. Therefore, I suggest that we take advantage of teaching aids available from this research by processing the units in the mathematical textbook. 2. We can feel the beauty of mathematics by Euler's symbols and simple formulas. We must take pride in teaching mathematics because the mathematical insight is very useful in the inqury process. 3. We have to model ourselves after Euler's spirit of inquiry and energetic activities.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.221-230
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• 2017

BL(Blended Learning) has been presented as a promising alternative learning approach. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. The adoption of BL in computer practice class is necessary due to the characteristics of computer practice class itself. This study proposes a research model that examines the determinants of learner's satisfaction of computer practice classes in BL environment. Considering the characteristics of computer practices classes contents and instructor interaction were identified as the determinants. The research model is tested using a questionnaire survey of 141 participants. Confirmatory factor analysis (CFA) was performed to test the reliability and validity of the measurements. The partial least squares (PLS) method was used to validate the measurement and hypotheses. The empirical findings shows that contents easiness and contents constructs are the primary determinants of instructor interaction in BL. Instructor interaction was also found to be related to the learner's satisfaction resulting in re-using. The findings provide insight into the planning and utilizing BL in computer practice classes to enhance learner's satisfaction.

• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.25-36
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• 2006

Purpose: The purpose of the study was to identify the adaptation process to problem based learning(PBL) among nursing students who have experienced PBL classes for two years. Method: Data was collected from 11 nursing students with in-depth interviews and direct observation of their PBL experiences by a researcher who has been a facilitator for PBL class for 3years. Immediately after the interviews all of them were transcribed. It was analyzed by the Ground theory of Corbin and Strauss. Results: A derived core category was 'Acquiring PBL'. 4 stages of the acquiring process were derived and written in time sequence: chaos, confusion, beginning insight, and achievement stage. Conclusion: The results will not only expand understanding of the students for the facilitator and school which has adopted PBL but also provide information to develop an orientation program for PBL. Further research on the facilitator's role experiences is recommended.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.539-541
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• 2006

Biped locomotion is a popular research area in robotics due to the high adaptability of a walking robot in an unstructured environment. When attempting to automate the motion planning process for a biped walking robot, one of the main issues is assurance of dynamic stability of motion. This can be categorized into three general groups: body stability, body path stability, and gait stability. A zero moment point (ZMP), a point where the total forces and moments acting on the robot are zero, is usually employed as a basic component for dynamically stable motion. In this rarer, learning based neuro-fuzzy systems have been developed and applied to model ZMP trajectory of a biped walking robot. As a result, we can provide more improved insight into physical walking mechanisms.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.24 no.3
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• pp.321-330
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• 2020

Data classification and clustering is one of the most common applications of the machine learning. In this paper, we aim to provide the insight of the classification for Turing pattern image, which has high nonlinearity, with feature engineering using the machine learning without a multi-layered algorithm. For a given image data X whose fixel values are defined in [-1, 1], X - X³ and ∇X would be more meaningful feature than X to represent the interface and bulk region for a complex pattern image data. Therefore, we use X - X³ and ∇X in the neural network and clustering algorithm to classification. The results validate the feasibility of the proposed approach.