• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.132-140
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• 2006

Implementing ERP system is inherently a very complex task that involves ongoing training employees to use the new system. However, the traditional methods of ERP training and education have presented many problems. A new form of training, e-learning, has emerged. E-learning enables trainees to sign on classes without restrictions of time, distance, and classroom availability. We suggested several usage strategies and e-learning combined model for ERP related organizational change management.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.110-113
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• 2007

The purpose of this study was to investigate the nature of relationships among service quality, customer satisfaction and e-loyalty in e-learning site. In order to achieve the study purpose, survey method was applied As a result. it was revealed that service quality had significant effects on customer satisfaction in e-learning site. The influential factors of service quality on customer satisfaction included convenience of use, personalization, tangibles, responsiveness, and reliability in learning site. In addition, service quality had significant effects on e-loyalty as well.

• Management & Information Systems Review
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• v.22
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• pp.25-59
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• 2007

These days, a lot of information and knowledge is being produced and accumulated constantly, which makes it difficult for a person to get the exact information or knowledge in simple way that he or she wants to get. It is also true in college and university. A lot of data is increasing so fast that a student cannot achieve his or her goal in learning with the text. This means that it is necessary to bring a change in the way of teaching and learning from only simple lectures. So in this treatise, we try to develop the method of the introduction and operation of center for teaching and learning. In order to accomplish the purposes, this research has examined the questionare and domestic colleges and universities.

• The Journal of Korea Robotics Society
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• v.10 no.2
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• pp.90-95
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• 2015

The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based e-learning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner's verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.1-15
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• 2023

The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.121-129
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• 2004

If we followed to be based on the result of survey for researching on the actual condition about e-Learning of the MOE(2004), the critical problem has been suggested managing the quality of teaching and learning materials(37.68%(1775/4717)). If we also reviewed the research of the KICE(2002), the superior material's rate of 70,000 teaching and learning materials of the web site, the educational organization, and teachers was 8.7%. There was some suggestions about the quality problem of the teaching and learning material, but there wasn't the alternative policy: there wasn't the systemic program for managing the message quality of teaching and learning materials. The purpose of this study was to develop the alternative system for managing the message quality of teaching and learning materials. The alternative system of this study's result will be the basic to build the system for managing the message quality of teaching and learning materials. I expect that my system will be the useful tool for managing the message quality of teaching and learning materials.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.27-37
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• 2023

The purpose of this study was to analyze the effect of the online extracurricular program operated by the university. The program contents applied in the study included learning strategies such as time management, goal setting, note taking, and memorization methods. The program used in the study was operated in an online environment, and the content was developed between 27 and 29 minutes. The developed contents can be taken using the learning management system. The variables selected to analyze the effects of this program were learning strategies and learning flow, and satisfaction was also included to examine the responses of program participants. The results of the study are as follows. First, learning strategies and learning flow showed statistically significant differences. This result is because the content was composed of meaningful sub-topics by selecting the elements necessary for learning activities. Second, as a result of program satisfaction analysis, it was confirmed that the average for all questions was high. Among them, the average of the item that the theme and contents of the program were useful was the highest. Third, open responses were analyzed by classifying them into cognitive and affective domains. In the cognitive domain, meanings such as knowledge, understanding, and application were presented as keywords, and in the affective domain, a number of keywords for motivation and attitude change were presented. This study is significant in that it provided practical programs necessary for university freshmen and analyzed their effects.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.696-704
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• 1998

Artificial neural networks (ANN) have successfully applied into various areas. But, How to effectively established network is the one of the critical problem. This study will focus on this problem and try to extensively study. Firstly, four different learning algorithms ANNs were constructed. The learning algorithms include backpropagation, simulated annealing, genetic algorithm, and tabu search. The experimental results of the above four different learning algorithms were tested by statistical analysis. The training RMS, training time, and testing RMS were used as the comparison criteria.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.3
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• pp.643-660
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• 2013

The numbers of learning underachievers in college are gradually increasing. As a result, the need for extracurricular programs to increase learning in college is also growing. The purpose of this study was to analyze factors of learning difficulty and develop a model of learning consulting for college underachievers. This study also aimed to evaluate this model's validity. Using both 56 subscription forms of college underachievers and three sets of focus group interviews at B university, we found that students had difficulties in goal and career setting, management of grades and tests, learning methods, time management, failure overcome ability, lack of learning habit sustaining power and learning motivation, and so on. We developed a model of learning consulting for college underachievers based on these factors and applied the model to evaluate it's validity, testing it on 31 underachievers currently enrolled in college, five times every week. Let we say in conclusion that this model of learning consulting had positive effects on changing college underachiever's character, emotion, motivation, and behavior towards learning.

• Knowledge Management Research
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• v.9 no.4
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• pp.1-16
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• 2008

The purpose of the present study is to explain the effects of academic self-efficacy, self-regulated learning and online task value on academic achievement and learning transfer in corporate cyber education. 202 students who completed S corporate's cyber courses in 2007 and responded to all survey participated in this study. A hypothetical model was proposed, which was composed of academic self-efficacy, online task value and self-regulated learning factors as prediction variables, and learning transfer as well as academic achievement factors as outcome variables. The results of this study through regression analysis as follows. First, learners' academic self-efficacy, self-regulated learning and online task value predict learners' academic achievement significantly. Second, except for academic self-efficacy, learners' self-regulated learning and online task value predict on learners' learning transfer significantly. Third, academic achievement plays a role as mediating value in predicting academic achievement by online task. It implies that learners' academic self-efficacy, online task value and self-regulated learning which predict learners' academic achievement and learning transfer should be considered in developing strategies for the design and operation of cyber courses.