• Journal of The Korean Association of Information Education
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• v.8 no.4
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• pp.471-480
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• 2004

Reading ability has been widely considered as one of the basic skills that every student should be conversant with because higher level of thinking power can be acquired through reading. Reading education allows students to build correct way of thinking as well as foster critical thinking ability. However, it can be observed that reading education has not been well addressed accordingly in schools mainly because teachers have only limited amount of time and ability to cope with. In this paper, we developed a Web-based peer evaluation system for improving reading and writing ability so that students are allowed to exchange ideas freely on the Web after reading books as well as evaluate other students' writings, which would facilitate reflective thinking through the computer-mediated communication activities. Students become graders of other students' writings so that they are exposed to different opinions and ideas through which deeper thoughts can be obtained. The learner-centered learning activity instead of teacher-centered may benefit students as well as teachers and the system implementing this idea shows that both students' attitudes and preferences were improved as the result of applying the system to a local elementary school.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.659-666
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• 2010

Performance assessment is recognized as a proper evaluation method to integrate the teaching and learning process into the evaluation one and as an essential means to produce meaningful evaluation results. However, it has deteriorated into a teacher-centric evaluation method with the students excluded due to the cost and time issues and the heavy workload on the teachers. Those changes have affected the reliability of the assessment results. This study developed and applied a web-based performance assessment system by using Moodle, open source software, to help the teachers efficiently run performance assessment in school and the students increase their learning effects. As a result, it lifted the burden of system development from the shoulders of the teachers trying to do web-based performance assessment and solved the reliability issue raised in the old peer evaluation approach through diverse strategies offered by Moodle.

• Human Ecology Research
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• v.52 no.6
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• pp.669-682
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• 2014

The purpose of this study is to present a practical class design model that applies the problem-based learning (PBL) method to the subject of home economics. To begin with, a specific class model example was developed by conducting thorough document research and expert consulting. Two modules, named "Click! Global Leisure Environment" and "Happy Leisure Product Launching" were presented as the PBL questions. The case study focused upon in this research is an elective course called "Leisure Culture and Life Management". The 21 students enrolled in this course were considered in this study. Two teaching methods, namely a face-to-face teaching method and a web-based system "Snowboard" teaching method, were used to run the class. The research results are as follows: first, theoretical research and program development and demonstration were practiced with five different age groups: childhood, adolescence, university student, middle age, and senescence. Then, selfevaluation, peer evaluation, and group evaluation were conducted to motivate the students. Finally, a class evaluation was conducted by questioning the lecturer, who ranked well, scoring higher than or equal to 4.0 points out of 5.0 on all the questions. Through the PBL method, students showed an improved study attitude with more proactive participation in the class, they strengthened their communication skills and created a synergy with their team members. This study has significant meaning because it is the first research to apply the PBL method to home economics. Therefore, we expect other curricula to apply PBL and fully utilize this teaching method as well in the future.

• Journal of Intelligence and Information Systems
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• v.13 no.3
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• pp.119-140
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• 2007

Recommender systems enable a user to decide which information is interesting and valuable in our world of information overload. As the recent studies of distributed computing environment have been progressing actively, recommender systems, most of which were centralized, have changed toward a peer-to-peer approach. Collaborative Filtering (CF), one of the most successful technologies in recommender systems, presents several limitations, namely sparsity, scalability, cold start, and the shilling problem, in spite of its popularity. The move from centralized systems to distributed approaches can partially improve the issues; distrust of recommendation and abuses of personal information. However, distributed systems can be vulnerable to attackers, who may inject biased profiles to force systems to adapt their objectives. In this paper, we consider both effective CF in P2P environment in order to improve overall performance of system and efficient solution of the problems related to abuses of personal data and attacks of malicious users. To deal with these issues, we propose a multi-agent framework for a distributed CF focusing on the trust relationships between individuals, i.e. web of trust. We employ an agent-based approach to improve the efficiency of distributed computing and propagate trust information among users with effect. The experimental evaluation shows that the proposed method brings significant improvement in terms of the distributed computing of similarity model building and the robustness of system against malicious attacks. Finally, we are planning to study trust propagation mechanisms by taking trust decay problem into consideration.