• Journal of the Korean Applied Science and Technology
• /
• v.40 no.3
• /
• pp.374-384
• /
• 2023

Universities that previously targeted in 20s have recently diversified their operation methods, founding purposes, and target. With a significant decrease in the school-age population relative to the number of universities, universities are making their best efforts to secure new students and minimize student attrition. In this study, an online survey was conducted to empirically examine the effects of motivation for major selection and sense of belonging on learning persistence intention among students in beauty-related departments at 2-year and 4-year general universities and cyber universities. The collected data from 119 students at general universities and 113 students at cyber universities were analyzed using SPSS 28. The key findings can be summarized as follows: For general universities, motivation for major selection did not have a significant effect on learning persistence intention, but sense of belonging had a significant positive effect. Additionally, an interaction effect was observed, indicating that as the sense of belonging increased, extrinsic motivation significantly increased learning persistence intention. For cyber universities, intrinsic motivation and sense of belonging among motivations for major selection had a significant positive effect on learning persistence intention, while the moderating effect of sense of belonging in the relationship between motivation for major selection and learning persistence intention was not significant. In summary, for general universities, the factor that influenced students' learning persistence intention was a sense of belonging to the university, while for cyber universities, intrinsic motivation played a significant role. These findings are expected to provide meaningful insights and data for universities to develop effective policies for preventing student attrition.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.380-390
• /
• 2020

Cyber-university has a higher rate of dropout freshmen due to various educational factors, such as social background, economic factors, IT knowledge, and IT utilization ability than students in twenty offline-based university. These students require a different dropout prevention method and improvement method than offline-based universities. This study examined the main factors affecting dropout during the first semester of 2017 and 2018 A Cyber University. This included management and counseling factors by the 'Decision Tree Analysis Model'. The Management and counseling factors were presented as a decision-making method and weekly methods. As a result, a 'Dropout Improvement Model' was implemented and applied to cyber-university freshmen in the first semester of 2019. The dropout-rate in freshmen applying the 'Dropout Improvement Model' decreased by 4.2%, and the learning-persistence rate increased by 11.4%. This study applied a questionnaire survey, and the cyber-university students LMS (Learning Management System) learning results were analyzed objectively. On the other hand, the students' learning results were analyzed quantitatively, but qualitative analysis was not reflected. Nevertheless, further study is necessary. The 'Dropout Improvement Model' of this study will be applied to help improve the dropout rate and learning persistence rate of cyber-university.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.9-18
• /
• 2019

This study investigates the factors affecting the educational satisfaction and the transfer of learning of cyber crime prevention education students in order to confirm the effectiveness of the current education. Based on the CIPP model, we confirmed whether the level of social demand and the level of knowledge in the context evaluation, recency of subjects in the input evaluation and interaction in the process evaluation affect the educational satisfaction and the transfer of learning of the students by conducting the survey for the students. As a result of analysis, it was proved that the level of knowledge, recency of subjects and interaction had a significant relationship with the educational satisfaction and recency of subjects, interaction and educational satisfaction significantly affect transfer of learning. Based on the findings, this study provides a few constructive suggestions to improve the effectiveness of the cyber crime prevention education program.

• 전자공학회논문지 IE
• /
• v.48 no.4
• /
• pp.53-60
• /
• 2011

The purpose of this study was to examine the relationship among academic self-efficacy, learning time and environment management, teaching efficacy, flow and satisfaction of cyber university students. For this purpose, the 317 students of W cyber university were participated in the web-survey systems for two weeks at the end of the first semester in 2011. The results of this study through multiple regression analysis indicated that academic self-efficacy, learning time and environment management, and teaching efficacy significantly predicted on flow(${\beta}$=.712, p<.05) and satisfaction(${\beta}$=.531, p<.05). In addition to this, flow was used as a significant mediated variable in the relationships among academic self-efficacy, learning time and environment management, teaching efficacy, and satisfaction. Based on these study results, effective management strategies for improving cyber university students' learning achievement and satisfaction were proposed.

• The Journal of the Korea Contents Association
• /
• v.19 no.12
• /
• pp.129-140
• /
• 2019

This study investigated cyber university students' motivation and demotivation in learning English. Data was collected from a survey of 498 students in a general English course at a cyber university located in Seoul. The survey inquired into participants' English learning motivation and demotivation. To analyze the data, frequency analysis, descriptive statistics, t-test, and ANOVA were used. The findings reveal that among the motivation factors ideal L2 self was the main cause of motivation followed by promotion-based instrumentality. Among the demotivation factors the anxiety factor was found to have the highest mean followed by negative investment value for learning English. The statistical analysis of English learning motivation and demotivation according to the participants' characteristics indicates that, in terms of English learning motivation factors, the male participants' ought-to L2 self was significantly higher than that of the females' and the promotion-based instrumentality of the students who are unemployed was higher than those who are employed. Moreover, the younger the students' age, the higher their competitive motivation and promotion-based instrumentality. In terms of English learning demotivation, the female respondents achieved higher scores in the factors of anxiety, passive learning style, and negative investment value for learning English than their male counterparts. In addition, employed students showed higher demotivation in negative investment value for learning English than those without employment. The findings of this research can be used in developing online English programs for cyber university students who possess diverse learning goals.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.6
• /
• pp.1476-1481
• /
• 2010

Cyber education community in the digital era is going on across all areas of knowledge accumulation rate of acceleration of the demand for retraining and lifelong learning can effectively accommodate. Therefore, new teaching methods in the future as consumer-driven 21st century is expected to settle into the main education system. However, to properly interact with people due to lack of feedback delay, reading and writing intensive courses is detrimental to the environment caused by a particular student, and Computer skills are based on computer-related technology to disadvantage poor students, and many have problems. In this paper, recent university education and cyber education requires a paradigm shift is required in an environment that factors affecting students' satisfaction were evaluated, and Improvement of cyber education will be studied.

• The Journal of Bigdata
• /
• v.4 no.2
• /
• pp.175-183
• /
• 2019

Drop-out issue is one of the challenges of cyber university. There are about 130,000 students enrolled in cyber universities, but the dropout rate is also very high. To lower the dropout rate, cyber universities invest heavily in learning analytics. Some cyber universities analyze the possibility of dropout and actively support students who are more likely to drop out. The purpose of this paper is to identify the learning data affecting the dropout prediction index. As a result of the analysis, it is confirmed that number of lessons(progress), credits, achievement and leave of absence have a significant effect on dropout rate. It is necessary to increase the accuracy of the prediction model through post-test on the student dropout prediction index.

• Journal of The Korean Association of Information Education
• /
• v.13 no.1
• /
• pp.31-40
• /
• 2009

In the Cyber Home Learning Service (CHLS) for primary and secondary level students, Cyber Teachers are in charge of providing learning assistance and guidance to students through various activities. Thus, improving the Cyber Teachers' satisfaction level could contribute to increased effectiveness of the CHLS. In this study, we developed the evaluation criteria to assess the satisfaction level of teachers participating in the CHLS, and analyzed factors influencing the satisfaction level. We verified the content validity of the evaluation criteria. We also analyzed the evaluation criteria model by conducting an item characteristic analysis and a goodness of fit test using the SPSS and AMOS. Finally, we developed 20 items from five factors based on the analysis results.

• Journal of information and communication convergence engineering
• /
• v.8 no.3
• /
• pp.343-347
• /
• 2010

Cyber education has been predicted that it would become the primary education system of 21st century as a way of education focusing on consumers, with the aspect that it seems to be able to satisfy the demand about re-education and lifelong education as the acceleration of fast knowledge accumulation throughout every field of society in the digital era. However, cyber education system has a lot of problems which are for that it lacks of human resources for effective interaction, and it can be disadvantageous to certain type of students with a class environment concentrated on reading and writing and with foundation on computer technology. Therefore, in this thesis, We intended to analyze factors influencing satisfaction of people studying in a situation that cyber education has been required to be a mainstream system of education in the midst of trend of changing paradigm of college education recently, and to suggest some possible solutions for cyber education at university.

• Korea Multimedia Society
• /
• v.1 no.1
• /
• pp.65-76
• /
• 1997

We discuss the characteristics of authoring tool for the lecture on demand(LOD) in a cyber university. Authoring tool will be one of the important tools for constructing LOD that gives good educational opportunities to students of cyber university. The one of characteristics in authoring tool is“Education”and“Entertainment”. The LOD system constructed with authoring tool will be impact on multimedia telecommunication, technology for constructing and searching multimedia database, GroupWare and distributing technology, etc.