• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.2
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• pp.237-242
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• 2003

In this paper, we propose a new adaptive intrusion detection algorithm based on clustering: Kernel-ART, which is composed of the on-line clustering algorithm, ART (adaptive resonance theory), combining with mercer-kernel and concept vector. Kernel-ART is not only satisfying all desirable characteristics in the context of clustering-based IDS but also alleviating drawbacks associated with the supervised learning IDS. It is able to detect various types of intrusions in real-time by means of generating clusters incrementally.

• Information Systems Review
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• v.12 no.2
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• pp.25-45
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• 2010

Today, as potential uses of the Internet continue to grow, e-learning in university an education course has taken on an important role. Accordingly, to provide good e-learning services, university officials attempt to develop high quality educational content in their courses. In this study, we investigate e-learning adoption by students using the extended technology acceptance model (TAM). In particular, trust in the online environment plays an extremely crucial role in student willingness to adopt e-learning. Therefore, in this study, we analyzed the relationships of perceived ease of use, perceived usefulness, attitude, and actual use on students' level of trust using a partial least squares (PLS) approach. This study suggests valuable implications for developing e-learning strategies and implementing e-learning.

• Knowledge Management Research
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• v.21 no.2
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• pp.119-135
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• 2020

Owing to pandemic (COVID-19), the traditional face-to-face education method has been changed to the non-face-to-face real-time online education methods. Using a real time-based video conference system, synchronous education can be adopted by face-to-face class easily. Specially, it is very important to minimize the difference in learning effects between face-to-face and non-face-to-face in Entrepreneurship education. In this study, in order to derive the factors that affect the satisfaction of learners in synchronous online education, authors collected data from learners taking a synchronous entrepreneurship course. Through previous research, learned the reality of education and the composition of lessons. Spatiotemporal effectiveness, mentor ability, and educational environment influence learning satisfaction. PLS-SEM results revealed that it was confirmed that only spatiotemporal effects affect learner satisfaction. However, the education environment (fluent operation and convenience of function use of real-time based online conference system) effect teaching presence, class structure, and spatiotemporal effects. Through this research, we hope to provide theoretical and practical support for developing effective teacher activities, proper lesson structure, convenient function of the conference system, and learner-centered online learning environment when developing synchronous online classes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.3
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• pp.83-94
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• 2020

The threat of COVID-19 pandemic put many universities in Korea to develop and implement various types of untact online classes. Online education has been recognized as one of the effective educational methods because of its ubiquitous and flexible educational environments. However quick move to online education caused by the sudden attack of the COVID-19 led to many problems such as faculty's burden and stress from the planning and designing suitable for online classes, technology system problems for both students and faculty and students' complaints of the low quality of education. The primary purpose of this study is to investigate the effects of learner, contents, and instructor factors on college student satisfaction with untact online classes during the first attack of COVID-19 pandemic. The data were collected from 605 undergraduate students of S women's university based in Seoul, who took the untact online classes in the spring semester 2020. The results of empirical analysis reveal that only contents factor are likely to predict learner satisfaction. These findings provide insights that the effective planning and designing classes are key to enhancing learner satisfaction with online education. This study suggests that instructors need various contents developed and educational strategies for students.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.197-207
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• 2021

The threat of COVID-19 pandemic put many universities in Korea to develop and implement various types of non-face-to-face on-line classes, such as on-line real time class and on-line recorded video class. Online education has been recognized as one of the effective educational methods because of its ubiquitous and flexible educational environments. Even though COVID-19 led to many problems such as faculty's burden and stress during the early stage of COVID-19, both students and faculties have gradually become familiar with on-line environment. As students have got accustomed to the online environment, on-line recorded lectures are shown to be more preferred rather than on-line real time class. Researches regarding the learner's satisfaction of on-line classes during the COVID-19 indicate that systematic and good quality contents and interaction by instructor are important factors. This study, therefore, investigate the learner's satisfaction of online classes in Liberal Arts course using recorded video contents in terms of contents and interaction. The results of empirical analysis reveal that systematic and good quality contents are likely to predict learner's satisfaction and interaction plays a great role in providing those contents. These findings provide insights that preparing systematic contents and interaction are key to enhancing learner's satisfaction of on-line classes in Liberal Arts course.

• Journal of Technologic Dentistry
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• v.44 no.4
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• pp.132-143
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• 2022

Purpose: The study aims to analyze differences in the satisfaction level of dental technology students regarding in-person and online classes. It also aims to provide fundamental resources for the improvement of major subject class methods that will improve students' self-directed learning abilities, thereby affecting their class satisfaction. Methods: In this study, a self-administered questionnaire was conducted from November 8 to November 30, 2021, for 256 dental technology students. The collected data were analyzed using the IBM SPSS Statistics ver. 21.0 statistical program. Frequency and percentage, mean, standard deviation, t-test, ANOVA, post-hoc test, correlation analysis, and linear regression analysis were performed to analyze the data. Results: In the self-directed learning abilities, the attitude of the learners was shown to have the highest positive (+) correlation in both in-person and online classes, with a statistically significant effect (p<0.001) on class satisfaction in major subject classes. Moreover, the explanatory power of the model was 52.2% and 39.7%, respectively. Conclusion: We concluded from the study that there is a need for professors to improve teaching methods to increase learners' self-directed learning competence, through problem-based learning, discussion learning, team-based collaborative learning, and mentor-mentee learning, thereby enabling learners to lead classes themselves.

• Journal of Korean Clinical Health Science
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• v.11 no.1
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• pp.1607-1615
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• 2023

purpose: In addition to evaluating the quality of sleep of college students, the effect on non-face-to-face online learning satisfaction is identified and used as basic data for improving the quality of remote lectures. Methods: From June 1 to June 24, 2022, a self-entry survey was conducted on students enrolled in the dental hygiene department of D University in Daegu. To evaluate the non-face-to-face online learning satisfaction and sleep quality of the study subjects using the lBM SPSS Statistics 21 program, ANOVA analysis was conducted on the difference between individual stress levels and non-face-to-face online learning satisfaction. The correlation between sleep quality, stress, and non-face-to-face online learning satisfaction was analyzed using Pearson's correlation coefficient. Results: The lower the quality of sleep, the higher the stress, resulting in statistically significant results (p<0.001). The higher the quality of sleep, the higher the learning satisfaction, resulting in statistically significant results (p<0.001). There was a statistically significant positive correlation between learning satisfaction and stress (r=0.591, p<0.01). Conciussions: Through the above results, in order to improve the satisfaction of non-face-to-face online learning, it is necessary to manage the individual's learning environment and health to relieve stress. Instructors also need to communicate with learners and apply teaching methods considering learners' academic abilities.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.115-126
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• 2021

The purpose of this study is to closely analyze the case of blended-learning in order to provide a diverse and flexible learning environment while maintaining the nature of face-to-face classes, and to identify the learning environment that supports blended-learning in each class step and the educational experience of students. The experience and satisfaction of blended learning were investigated in various ways: course evaluation, LMS activity evaluation, and questionnaire before and after the class. As a result, the blended-learning is better than the traditional face-to-face classes, in providing real-time feedback, opportunities for various interactions, and textual conversations, anytime and anywhere. In addition, as a result of the preliminary survey, as a measure to solve the opinion that concentration was reduced due to problems such as networks and felt uncomfortable in the communication part, the theory and lectures of the design practice class were conducted non-face-to-face. The individual Q&A and feedback were conducted face-to-face and non-face-to-face. As a result of the follow-up survey, it was found that concentration and efficiency could be improved. This opens up possibilities for active use of the online environment in design practice classes.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.53-62
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• 2020

Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers' behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers' purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers' interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.387-403
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• 2021

The purpose of this study is to design a community-based career education app for college students. Currently, career education in universities has various problems. First, career education is not systemized, second, satisfaction of participating students is not high, and third, competency-based career education is not conducted. Designing a community-based career education app for college students will solve the problem of lack of college career education instructors and increase the satisfaction of students participating in career education. To this end, core values were derived through the results of demand surveys, literature analysis, and network text analysis for college students, and a prototype of the app was devised according to the design of the rapid prototype. The career education program to be used in the app was designed by dividing online and offline activities so that university students can execute them in units of learning communities. Through the first and second usability evaluation and expert evaluation, the final prototype was designed and the app screen was designed.