• Journal of Internet Computing and Services
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• v.9 no.5
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• pp.9-21
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• 2008

In theory, within ubiquitous learning environment, education is happening all around the student but the student may not even be conscious of the learning process. But, in this study, we consider the ubiquitous learning environment where PMP (Personal Multimedia Player) is being used for delivering the learning-contents. And the purpose of this study is to identify the problematic factors recognized by PMP users in u-learning environment. A need analysis was used to identify and evaluate needs of 74 PMP users as well non-users. Based on the interviews of participants, we give a brief summary results on motivation for using PMP, purchasing and operating costs, category of contents being used, dissatisfying and problematic factors with using PMP in u-learning environment. Therefore, we present six categories of factors preventing the u-learning with PMP from being diffused such as lacks of awareness, loss of confidence, side-effects, lacks of education and support, costs, and lacks of contents. In conclusion, we suggest a set of guidelines which might help remove these the resistance factors.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.73-83
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• 2005

Recently, Internet utilization ratio of elementary school students is urgently increasing. On the other hand, elementary school students are not doing personal information management properly in the Internet. As a result, it is causing problem of information leakage. In this paper, we proposed a instructional learning method to teach importance of personal information management to an elementary school student. Proposed method is based on role-play instructional learning method. And applied to the third-year class in elementary school. We show that proposed method is effect in education than traditional teaching method about personal information management's importance.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.3-11
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• 2023

To address the high accident rate in the construction industry, there is a growing interest in implementing virtual reality (VR)-based construction safety training. However, existing training approaches often failed to consider learners' individual characteristics, resulting in inadequate training for some individuals. This study aimed to investigate the impact of personal characteristics on learning performance in VR-based construction safety training using machine learning and SHAP (SHAPley Additional exPlanations). This study revealed that age exerted the greatest influence on learning performance, while work experience had the least impact. Furthermore, age exhibited a negative relationship with learning performance, indicating that the introduction of VR-based construction safety training can be effective for younger individuals. On the other hand, academic degree, qualifications, and work experience exhibited a positive relationship. To enhance learning performance for individuals with lower academic degree, it is necessary to provide content that is easier to understand. The lower qualifications and work experience have minimal impact on learning performance, so it is important to consider other learners' characteristics so as to provide appropriate educational content. This study confirmed that personal characteristics can significantly affect learning performance in VR-based construction safety training, highlighting the potential for leveraging these findings to provide effective safety training for construction workers.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.197-210
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• 2020

Learning agility is the will and ability to flexibly change thoughts and behaviors by quickly learning in new environments and experiences, and is a core competency to overcome crisis and solve organizational problems. It is a concept that can be used in the same organization group. Based on the previous research, a study was conducted to investigate how the job characteristics and personal learning agility of the army deputy officers influence learning satisfaction. After receiving a questionnaire survey of 216 business and yarn companies, SPSS 24.0 was used to verify the reliability and validity of the measurement variables, and the hypothesis was verified by regression analysis. It was found that some of the sub-categories of personal learning agility (self-awareness, active change pursuit) had a positive effect on learning satisfaction. This means that in order to enhance the effectiveness of military cyber education, measures should be taken to avoid overload in the field, and in order to increase performance in military organizations, personal learning agility pursuing positive change based on self-awareness and feedback must be developed.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.3
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• pp.265-273
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• 2005

Purpose: This study was to investigate the degree and pattern of learning organization and MBTI personality type in clinical nurses. Methods: The participants were 685 nurses working in the 8 general hospitals located in Seoul and Incheon. The data were collected by self-reporting questionnaires from April 1 to August 30, 2004. The data were analyzed using SAS program for descriptive statistics and Pearson's correlation coefficient. Results: The most frequent identified personality type was ISTJ and the least identified personal types was ENFJ. In 4 preference patterns, Extroversion, Sensing, Thinking and Judgement were identified a dominant index in each categories. The mean score of learning organization was 3.47 and the mental model was got the highest score. The EI index had a significant positive correlation with personal mastery. However the TF index had a negative correlation with personal mastery, systems thinking, and mental models, and also the JP index had a negative correlation with 5 learning organization sub categories. Conclusion: With these results, it was identified that the preference patterns on MBTI had the significant correlation with learning organization. So these results will be used to develop the more effective strategies to increase learning organization based on nurse's personality types.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.1-8
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• 2017

Recently, with the development of ICT technology such as cloud and mobile, image utilization through social networks is increasing rapidly. These images contain personal information, and personal information leakage accidents may occur. As a result, studies are underway to recognize and mask personal information in images. However, optical character recognition, which recognizes personal information in images, varies greatly depending on brightness, contrast, and distortion, and Korean recognition is insufficient. Therefore, in this paper, we design and implement a personal information identification and masking system based on image recognition through deep learning application using CNN algorithm based on optical character recognition method. Also, the proposed system and optical character recognition compares and evaluates the recognition rate of personal information on the same image and measures the face recognition rate of the proposed system. Test results show that the recognition rate of personal information in the proposed system is 32.7% higher than that of optical character recognition and the face recognition rate is 86.6%.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2465-2467
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• 2004

In this paper we present the guideline to evaluate the easiness of using personal robots and their learning abilities based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are breathing with robots that can be able to do lots of roles. cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There are, however, no standards to evaluate their ability, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, describe how to apply the evaluation method th the personal robot.

• The Journal of Information Systems
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• v.32 no.4
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• pp.95-118
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• 2023

Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.616-617
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• 2010

This paper presents a model of e-learning based on ubiquitous computing configuration. The proposed e-learning model as following. we propose the e-learning system's hardware and software configurations which are server and networking systems. Also, we construct the proposed e-learning systems's services. There are attendance and absence service, class management service, common knowledge service, score processing service, facilities management service, personal management service, personal authorization issue management service, campus guide service, lecture-hall management service. Also, we propose the laboratory equipment management service, experimental materials management service etc.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.5
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• pp.300-306
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• 2005

In this paper we present a guideline to evaluate how easy the use of personal robots is and how good their learning abilities are, based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are living with robots that can be able to do lots of roles; cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There we, however, no standards to evaluate their abilities, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, demonstrate how to apply the evaluation method to the cleaning robot as an example.