• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1676-1681
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• 2020

Collecting and managing information on all-round activities of students not only helps to improve school life adjustment and satisfaction, but also serves as the basis for preventive student support for academic warnings or dropouts. Therefore, in guiding students, it is necessary to integrate various information of students and provide them to the instructor quickly and accurately. In this study, in the special environment of an organization in which student information is scattered in several systems, a system model is proposed that not only integrates and provides student information to instructors quickly, but also saves cost and effort. And we tested the effectiveness of the proposed system model by developing a simple web page. As a result, it was confirmed that the proposed model provided information necessary for student guidance in an integrated, multifaceted, and instantaneous manner, and that user satisfaction was improved through an improved UI.

• Journal of Engineering Education Research
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• v.19 no.5
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• pp.57-64
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• 2016

This study is about interdisciplinary education model of using Davis Guggenheim's documentary film on global warming which is a big concern in climate change issues, An Inconvenient Truth. It based on Al Gore's slide speech. Through a course student analyzed the cause and phenomenon of global warming resulted from increase of $CO_2$ by using fossil fuel and its environmental science effects-heat wave, desertification, tornado, hurricane, sea level rise caused by melting glaciers, destroying ecosystem like habitat degradation of wild animals, for example polar bear, extreme cold wave caused by change of ocean currents- of global warming. After, student discussed of efforts to prevent global warming. This educational model is appropriate for lower grade student of environmental engineering and also available for converged majors or general education class.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.205-212
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• 2012

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction. we must understand customer requirements. Kano distinguishes between three types of product requirements(:must-be, one-dimensional, attractive requirements. which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, we analyzes the factors that influence College Student's Satisfaction of teaching using Kano Model, Timko's CS-Coefficient.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.14-20
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• 2021

The method of analysis and research is applied in the work methods of managing student activities. Effective forms and methods of student quality management are determined. The model of management of educational process of students is offered. The model is to activate the student's potential, while maintaining the classical educational paradigm. The analysis of features of management of activity of students in modern model of education is carried out.

• Journal of Korea Multimedia Society
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• v.5 no.1
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• pp.59-67
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• 2002

In this paper, I discuss the problems of developing web based adaptive hypermedia for education using extensible Markup Language(XML). Adaptive hypermedia systems are capable of altering the Presentation of the contents of the hypermedia on the basis of a dynamic understanding of the individual student. The student profile is contained in a student model, while the knowledge about the domain can be represented in the form of a concept based domain model. Accordingly, I define two different markup languages using XML. The one structures the domain model and the another describes the student model. These language can be easily extended and authored, with the result of obtaining a simple methodology for data structuring in the field of web based educational adaptive hypermedia.

• Journal of Distribution Science
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• v.20 no.6
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• pp.1-10
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• 2022

Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.177-185
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• 2021

The purpose of this paper is to examine whether service quality, student satisfaction, and university image mediate the relationship between university sustainability practices and student loyalty of the students in Ho Chi Minh City, Vietnam. To analyze the data, this study used a structural equation model to explore the relationships existing between constructs. A structured questionnaire comprising of 22 questions was used with 5 constructs. A total of 465 students from Ho Chi Minh City universities filled in the newly developed questionnaires using five points Likert scales. Consistent with the existing result, the study reveals a valuable insight on university sustainability practices toward student loyalty of the university. According to the findings, university sustainability practices have a positive direct impact on service quality, student satisfaction, university image, and student loyalty. And also service quality has a positive strong impact on student loyalty. Furthermore, service quality, student satisfaction, and university image play the mediating role in the relationship between university sustainability practices and student loyalty. Thus, the loyalty of students seems to reflect quite well from university sustainability practices, service quality, and university image. The findings indicate that universities should be more concerned about university sustainability practices, service quality, and university image in attracting student loyalty.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.423-431
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• 2021

This paper examines the impact of university social responsibility on brand image and student satisfaction. Social responsibility impact on consumer behavior has been studied extensively. But the same impact has not been rigorously tested to the same extend in the education sector. Firstly, we analyze the perception of university social responsibility (USR) and its components, including (1) the quality of teaching programs, facilities, and academic staff; (2) supporting learning activities; and (3) human resource policies. Secondly, we investigate the relationship between university social responsibility, brand image, and student satisfaction. The study examined these relationships through a proposed economic model based on answers from a survey of 298 students at the University of Food Industry Ho Chi Minh City. From the above survey data, the author proceeds to quantify variables and, based on Cronbach's Alpha reliability coefficient, EFA factor analysis, and linear regression, to measure the impact of each social responsibility factor on business of the university and student satisfaction. The results show that university social responsibility actually affects the university's brand image and student satisfaction. Our findings suggest that universities should develop an appropriate marketing strategy to reinforce brand image and student satisfaction through the university social responsibility model.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.2
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• pp.51-58
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• 2023

This paper proposes a deep learning method for estimating the heart rate from facial videos. Our proposed method estimates remote photoplethysmography (rPPG) signals to predict the heart rate. Although there have been proposed several methods for estimating rPPG signals, most previous methods can not be utilized in low-power single board computers due to their computational complexity. To address this problem, we construct a lightweight student model and employ a knowledge distillation technique to reduce the performance degradation of a deeper network model. The teacher model consists of 795k parameters, whereas the student model only contains 24k parameters, and therefore, the inference time was reduced with the factor of 10. By distilling the knowledge of the intermediate feature maps of the teacher model, we improved the accuracy of the student model for estimating the heart rate. Experiments were conducted on the UBFC-rPPG dataset to demonstrate the effectiveness of the proposed method. Moreover, we collected our own dataset to verify the accuracy and processing time of the proposed method on a real-world dataset. Experimental results on a NVIDIA Jetson Nano board demonstrate that our proposed method can infer the heart rate in real time with the mean absolute error of 2.5183 bpm.

• Journal of Korean Elementary Science Education
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• v.31 no.1
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• pp.71-83
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• 2012

The purpose of this study was to explore ecological concepts, epistemological reasoning and reasoning processes through constructing 'food web and food pyramid' in ecology. We conducted classes which involved a 'food web and food pyramid' for $6^{th}$ grade students. Each class is constructed of small groups to do modeling and epistemological reasoning through communication. The researcher had videotaped and recorded each class and have made transcription about classes. We analysed patterns of 'food web and food pyramid models' and reasoning processes according to scientific epistemology using transcription data and student outputs. As a result, students represented phenomenon-based reasoning, relation-based reasoning and model-based reasoning in scientific epistemology from their modeling. Students usually did relation-based reasoning and model-based reasoning in food web which explains ecological phenonenon, while they usually did model-based reasoning in food pyramid which expects ecological phenomenon. Student's reasoning can be limited when they have misconception of scientific knowledge and are limited by fragmentary knowledge. This represents that students has to do relation-based reasoning and model-based reasoning is beneficial in their ecological model. It also suggests that students need to define correct-conception related to ecological modeling(food web, food pyramid).