• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.107-114
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• 2005

While a user is using an adaptive hypermedia system, the user can also use an external application. If the user accesses the information which is related to the contents provided by the adaptive hypermedia system, it can affect a user profile that contains the information about the knowledge or interests of the user. However, the adaptive hypermedia system understands user's behavior based on whether a page is accessed or not and it is difficult for the system to recognize user's behavior that can occur outside the adaptive hypermedia system. In this paper, we propose an approach that can detect user's behavior using a message hooking mechanism so that both user's behavior inside an adaptive hypermedia system and behaviors that occur outside the system can be reflected in a user profile. We analyze user events using a hooking mechanism and update a user profile using an XML parser.

• Journal of The Korean Association of Information Education
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• v.8 no.4
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• pp.547-554
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• 2004

Education is the largest application area of adaptive hypermedia systems. The user modeling is considered a very important part of the field of adpative hypermedia systems. In this paper we present the developed user model which provides different educational contents using a neural network. The user model has been verified on hypermedia for learning about basic web concepts, multimedia and HTML. This paper reports the results of simulation. Our simulation shows that the user model exactly can provide contextual different links for different students.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.676-684
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• 2003

eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

• Journal of Korea Multimedia Society
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• v.5 no.1
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• pp.59-67
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• 2002

In this paper, I discuss the problems of developing web based adaptive hypermedia for education using extensible Markup Language(XML). Adaptive hypermedia systems are capable of altering the Presentation of the contents of the hypermedia on the basis of a dynamic understanding of the individual student. The student profile is contained in a student model, while the knowledge about the domain can be represented in the form of a concept based domain model. Accordingly, I define two different markup languages using XML. The one structures the domain model and the another describes the student model. These language can be easily extended and authored, with the result of obtaining a simple methodology for data structuring in the field of web based educational adaptive hypermedia.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.37-45
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• 2004

With the rapid growth of the Web technologies, the Web has changed teaching and learning as well as our life in various ways. Web-based instruction (WBI) supports self-directed and creative learning at anytime anywhere. However, learners may experience the problems of disorientation and cognitive overload when the hyperspace that consists of learning materials is complex. In this paper, we present a Web-based adaptive hypermedia system based on cognitive load theory which can reduce cognitive loads that novices may experience when they learn programming

• The Journal of Korean Association of Computer Education
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• v.7 no.2
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• pp.67-76
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• 2004

The problems of developing web based adaptive hypermedia for education using XML are discussed in this paper. We define two different markup languages using XML. The one structures the domain model and the another describes the user model. These language can be easily extended and authored, with the result of obtaining a simple methodology for data structuring in the field of web based educational adaptive hypermedia. Also, We have suggested three learning rules that automatically restructures hypertext networks according to their user browsing behavior. The user profile is contained in a user model, while the knowledge about the domain can be represented in the form of a concept based domain model. Accordingly.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.757-766
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• 2009

This study presents an adaptive hypermedia learning system which can provide individual learning environment using a learner behavioral model. This system proposes a LBML which can manage learners' learning behavioral information by tracking down such information real-time. The system consists of a collecting system of learning behavioral information and an adaptive learning support system. The collecting system of learning behavioral information uses Web 2.0 technologies and collects learners' learning behavioral information real-time based on a SCORM CMI data model. The collected information is stored as LBML instances of individual learners based on a LBML schema. With the adaptive learning support system, a rule-based learning supporting module and an interactive learning supporting module are developed by analysing LBML instances.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.309-316
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• 2018

The main purpose of this study is to understand how cognitive factors influence the way people interact with information/information systems, by conducting comprehensive and in-depth literature reviews and a theoretical synthesis of related research. Adaptive systems have been built around an individual user's characteristics, such as interests, preferences, knowledge and goals. Individual differences in the ability to use new information and communication technology have been an important issue in all fields. Performance differences in utilizing new information and communication technology are sufficiently predictable that we can begin to coordinate them. Therefore, it is necessary to understand cognitive mechanisms to explain differences between individuals as well as the levels of performance. The theoretical synthesis from this study can be applied to design intelligent (i.e., human friendly) systems in our everyday lives. Further research should explore optimization design for user, by integrating user's individual traits (such as emotion and intent) and system modules to improve the interactions of human-system in data-driven environments.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.29-39
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• 2003

In this paper we proposed dynamic adaptive model based on discrete probabilistic distribution functions and user's profile for web media systems(web based hypermedia systems). The model represented that the application domain is modelled using a weighted direct graph and the user's behaviour is modelled using a probabilistic approach that dynamically constructs a discrete probability distribution functions. The proposed probabilistic interpretation of the web media structure is used to characterize latent properties of the user's behaviour, which can be captured by tracking user's browsing activity. Using that distribution the system attempts to assign the user to the best profile that fits user's expectations.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.681-689
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• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.