• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.31 no.1
• /
• pp.118-132
• /
• 2023

This study aimed to analyze the relationship between the learning perception of aviation service subjects using role play on the interpersonal competence, learning satisfaction, and learning outcomes of college students majoring in aviation service. A survey was conducted targeting 217 university students majoring in aviation service who are enrolled in universities in the metropolitan area and Chungcheong area and have experience in class using role play. In addition, the hypothesis is verified using the structural equation model. Among the perceptions of role play classes experienced by university students majoring in aviation service, 'inter-dependency' was found to have a positive (+) effect on all sub-factors of interpersonal competence. And 'usefulness' confirmed the positive (+) influence relationship with 'temperament for others' and 'communication' except for 'relationship promotion' of interpersonal ability. Among sub-factor of interpersonal competence, it is confirmed that only the factors of 'temperament for others' and 'communication' had an effect on learning satisfaction. And it is proved that learning satisfaction is an important determinant of learning outcomes. Therefore, this study is expected to serve as a basis for deriving an efficient and optimal learning method for practical subjects in aviation service majors.

• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.108-116
• /
• 2019

In this paper, we propose a method to apply artificial intelligence technology efficiently to integrated security control technology. In other words, by applying machine learning learning to artificial intelligence based on big data collected in integrated security control system, cyber attacks are detected and appropriately responded. As technology develops, many large capacity Is limited to analyzing individual logs. The analysis method should also be applied to the integrated security control more quickly because it needs to correlate the logs of various heterogeneous security devices rather than one log. We have newly proposed an integrated security service model based on artificial intelligence, which analyzes and responds to these behaviors gradually evolves and matures through effective learning methods. We sought a solution to the key problems expected in the proposed model. And we developed a learning method based on normal behavior based learning model to strengthen the response ability against unidentified abnormal behavior threat. In addition, future research directions for security management that can efficiently support analysis and correspondence of security personnel through proposed security service model are suggested.

• Journal of Digital Contents Society
• /
• v.12 no.4
• /
• pp.467-474
• /
• 2011

Auditory and language train for the hearing-impaired is an essential course improving conversational capability with non-deaf and accompanying the financial burden and the physical fatigue of parents or a teacher. To reduce these problems, web-based training contents have been developed. But these contents have been developed without consideration of individual difference such as various levels of residual hearing and the learning capability of hearing-impaired. Therefore, it is important that appropriate training progress for each hearing-impaired should be designed by evaluating and analyzing the personal status, residual hearing, learning capability and training achievement. This paper suggests auditory and language training service model for the hearing-impaired, which is planning and managing an auditory and learning training based on personal evaluation. In addition, this paper suggests a design method for a serious game content planing based on this service model.

• The Journal of the Korea Contents Association
• /
• v.21 no.2
• /
• pp.587-593
• /
• 2021

In this thesis, we will break away from the classic DDoS response system for large-scale denial-of-service attacks that develop day by day, and effectively endure intelligent denial-of-service attacks by utilizing artificial intelligence-based technology, one of the core technologies of the 4th revolution. A possible service model development plan was proposed. That is, a method to detect denial of service attacks and minimize damage through machine learning artificial intelligence learning targeting a large amount of data collected from multiple security devices and web servers was proposed. In particular, the development of a model for using artificial intelligence technology is to detect a Western service attack by focusing on the fact that when a service denial attack occurs while repeating a certain traffic change and transmitting data in a stable flow, a different pattern of data flow is shown. Artificial intelligence technology was used. When a denial of service attack occurs, a deviation between the probability-based actual traffic and the predicted value occurs, so it is possible to respond by judging as aggressiveness data. In this paper, a service denial attack detection model was explained by analyzing data based on logs generated from security equipment or servers.

• International journal of advanced smart convergence
• /
• v.6 no.3
• /
• pp.17-21
• /
• 2017

In this paper, the service execution accuracy was compared by ontology based rule inference method and machine learning method, and the amount of data at the point when the service execution accuracy of the machine learning method becomes equal to the service execution accuracy of the rule inference was found. The rule inference, which measures service execution accuracy and service execution accuracy using accumulated data and pattern matching on service results. And then machine learning method measures service execution accuracy using cross validation data. After creating a confusion matrix and measuring the accuracy of each service execution, the inference algorithm can be selected from the results.

• Journal of the Korean Chemical Society
• /
• v.61 no.5
• /
• pp.277-285
• /
• 2017

The purpose of this study is to investigate the perspective of pre-service chemistry teachers on the learning situations of visually impaired students through scientific inquiry in a darkroom and to propose a teaching and learning method for students with visual impairments. Twenty-one pre-service chemistry teachers from college of education in Gyeongbuk were encouraged to explore individually hands-on model for the molecular structure of ice freely, and had a discussion with a one of the researchers during the activity. All the conversation and discussion were audio-taped and transcribed for analysis. As a result, pre-service chemistry teachers realized that learning situation of the visually impaired students was quite different with their perception while exploring and figuring out hands-on model of the molecular structure of ice in the darkroom. They already learned and could see this model by themselves but also recognized that visually impaired students had inconvenience and difficulty in learning science concepts. Based on these reflections, some pre-service chemistry teachers suggested directions for modification to fit visually impaired students' needs more.

• Proceedings of the Korea Association of Information Systems Conference
• /
• 2003.11a
• /
• pp.67-77
• /
• 2003

The object rye of this study is to analyze the relationship of the main variables - perceived usefulness (PU) and perceived ease of use (PEOU) - wi th self-efficacy and IT service quality. In result, we show that IT service quality effects on PEOU and PU, and computer self-efficacy effects on PEOU.

• Journal of Korea Multimedia Society
• /
• v.10 no.12
• /
• pp.1679-1686
• /
• 2007

In this paper, we introduce the sharable and reusable learning objects which are suitable for XML Web services in e-learning systems. These objects are extracted from the principles of pedagogical paradigms for reusable learning units. We call them LIO (Learning Item Object) objects. Existing models, such as Web-hosted and ASP-oriented service model, are difficult to cooperate and integrate among the different kinds of e-learning systems. So we developed the LIO objects that are suitable for XML Web services. The reusable units that are extracted from pedagogical paradigms are tutorial item, resource, case example, simulation, problems, test, discovery and discussion. And these units correspond to the LIO objects in our learning object model. As a result, the proposed model is that learner and instruction designer should increase the power of understanding about learning contents that are based on pedagogical paradigms. By using XML Web services, this guarantees the integration and interoperation of the different kinds of e-learning systems in distributed environments and so educational organizations can expect the cost reduction in constructing e-learning systems.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.1
• /
• pp.25-32
• /
• 2020

In the context-aware system, rule-based AI technology has been used in the abstraction process for getting context information. However, the rules are complicated by the diversification of user requirements for the service and also data usage is increased. Therefore, there are some technical limitations to maintain rule-based models and to process unstructured data. To overcome these limitations, many studies have applied machine learning techniques to Context-aware systems. In order to utilize this machine learning-based model in the context-aware system, a management process of periodically injecting training data is required. In the previous study on the machine learning based context awareness system, a series of management processes such as the generation and provision of learning data for operating several machine learning models were considered, but the method was limited to the applied system. In this paper, we propose a training data generating method of a machine learning model to extend the machine learning based context-aware system. The proposed method define the training data generating model that can reflect the requirements of the machine learning models and generate the training data for each machine learning model. In the experiment, the training data generating model is defined based on the training data generating schema of the cardiac status analysis model for older in health status notification service, and the training data is generated by applying the model defined in the real environment of the software. In addition, it shows the process of comparing the accuracy by learning the training data generated in the machine learning model, and applied to verify the validity of the generated learning data.

• The Journal of Information Systems
• /
• v.17 no.4
• /
• pp.31-49
• /
• 2008

As the development of information technology, the biggest change in educational paradigm is apparent in the shift that the emphasis of education is layed on from teachers to learners. E-learning education service through the internet is less restricted in the respect of time and places in comparison with off-line education. Therefore e-Learning is spreaded rapidly and the educational effectiveness of that is needed to be investigated. In this study theoretical research was performed firstly and framework of the study was constructed. After establishment of hypotheses the survey data were collected by the learners of e-Learning and the hypotheses were verified by the SPSS version 12.0. The results are as follows : First, the quality of e-Learning service influences significantly to the technology acceptance of users. Secondly, perceived usability and perceived easiness of technology acceptance model influences significantly to the intention of reuse of users of e-Learning services. Lastly, the playfulness of the Flow theory influences significantly to the intention of reuse of users of e-Learning services. Although there are some limitations in the respect of the numbers of variables, parameters, or samples, this study will contribute for enhancing the effectiveness of education in e-Learning service by providing the acceptance factors of e-learners.