• The Journal of Korean Association of Computer Education
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• v.5 no.1
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• pp.85-98
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• 2002

In this study, We are developed learner traits analysis and profile management software modules to develop learnable courseware fits to learner's individual traits in cyber learning system. We specified learner's personal information, performance information, preference information and portfolio information as learner's traits variables in this study, these four types of information are managed in learner profile management DB based on elaborate analysis to learner's traits. And we consists of curriculum sequencing module using high and low level sequencing technology, these are used in organizing learning contents sequencing with learning topic and specific learning task. The advice algorithm module developed based on adaptive navigational support and rule based technology. This Result of Research are able to be used for develop learnable courseware fits to learner's individual traits in cyber learning systems.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.31-39
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• 2006

The change into the knowledge based information society requires a transformation of educational paradigm. Accordingly, intelligent learning and distance education are attracting a fair amount of attention. To apply the instructional learning method in this field, we need to consider a individualization of learning, as it were, abstraction of fact and path through learning, which is based on learner's traits, this focus entails a argument for individualized reasoning strategy. Therefore, in this paper, we design a learner's cognitive union, which is based on X-Neuronet(eXtended Neuronet), represent learner's hierarchical knowledge is able to self-learn, and grows adaptive union by proprietor. Additionally, we propose a individualized reasoning strategy, which relies upon learner's cognitive union, and verify the validity.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.291-298
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• 2012

The use of Unplugged Classes to easily teach the contents of Computer Science has recently become increasingly widespread. However, there has been a lack of research to discover which learner groups would benefit most from this method. Therefore, the intention of this research is to analyze learner's traits by examining score levels of post-class assessments made after Unplugged Classes. For this research, the learner's trait data has been divided into two groups: students' propensity towards computer comprehension and students' natural disposition. In addition to the verification of the relation between a learner's accomplishment level and the aforementioned data groups, meaningful applications of the data will also be recognized for practical use in elementary school classrooms. The results of this research will be valuable for elementary school teachers who utilize the Unplugged Class.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.15-24
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• 2014

It has been reported that programming education has a positive effect on 'improvement of problem solving skills' within the domain of information subject. Improvement of problem solving skills through education programming was confirmed through various variables, such as gender and programming method. This study aims to investigate the proper programming method of each learner by dividing the characteristics of learners according to their characteristics. To achieve our goal, we chose 62 S high school students enrolled in a programming class as the subjects of our study. The results of this study conveyed that project preference and gender can affect the achievement of the individual, whereas programming experience can affect the achievement of the team. This study provides suggestions of how to pursue a programming class according to learner characteristics as well as indicate which characteristics we should take into account.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.477-488
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• 2010

The purpose of this paper is to examine factors enhancing the performance of computer education designed for cultivating competing person for information society. It aims to analyze the affecting factors of computer education performance in terms of learner's aspect such as computer self-efficacy and environmental aspect such as educational facilities and professor's traits. The result shows that all factors(computer self-efficacy, innovativeness, motivation, self-regulated efficacy, professor's traits) except educational facilities are found to be significantly related to the performance of computer education. It is expected to provide guidelines on effective computer education and help to nurture talented person for information society in turn by investigating the affecting factors of the performance of computer education.

• Journal of the Korean School Mathematics Society
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• v.14 no.2
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• pp.199-213
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• 2011

The factors contributing to learning can be broadly classified into four different groups; Learner's characteristic variable, Instructor's characteristic variable, Learning task characteristic variable and environmental characteristic variable. And the first thing we need to do here is understanding of learner's characteristics among those factors in order to devise a plan for education. Accordingly, the purpose of this study is to find out what impact the affective traits (self-concept learning habits learning attitude), one of the learner's features, have on the mathematics-learning achievement and to seek for a good teaching method with reference to elementary school students' learning accomplishments and attitudes. For this, a questionnaire survey was conducted of 78 students of two fifth-grade classes in an elementary school located in South Chungcheong Province in this study. In consequence, it has been shown that the mathematics-learning achievement has the greatest relevance to the self-concept in connection with mathematics followed by the self-concept in connection with learning, the learning habits relating to mathematics, the attitude towards mathematics, the learning habits concerning studies and the attitude towards learning.

• Journal of The Korean Association For Science Education
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• v.31 no.3
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• pp.440-454
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• 2011

This study proposes a new instructional strategy and corresponding materials designed from various alternative frameworks to help students understand evolution as a biologically acceptable theory. Biology teachers have normally taught the evolutionary mechanism by means of comparing Lamarckism with natural selection. In this study, a new instructional strategy in which the Lamarckian explanation is first excluded because Lamarckism is known to be subsumed in a learner's cognitive structure as a strong preconception of evolution is suggested for teaching evolution. After mutation theory is introduced, Darwinism including natural selection is explained separately during the next class hour. Corresponding instructional materials that aid student understanding of the evolutionary mechanism were developed using recently published articles on human genetic traits as scientific evolutionary evidence instead of the traditional evolutionary subject matter, giraffe neck. Evolutionary evidence from human genetic traits allows students to exclude anthropocentric thoughts effectively and raise concern for the phenomenon of evolution positively. The administered instructional strategy and materials in this research improved student conception, concern, and belief of evolution and it is believed that they helped students understand the evolutionary mechanism effectively.

• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.1-15
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• 2017

The purpose of this study is to design a LMS(Learning Management System) dashboard for instructor feedback support based on learning analytics and to apply a LMS dashboard incorporating such taxonomy which allows an instructor to give a student personalized feedback according to the class content and a student's traits. In the dashboard design phase, usable instructional data were selected from LMS based on feedback taxonomy in terms of learning analytics. Two validity tests were conducted with 8 instructional technologists over 8 years of experience, and were revised accordingly. The final dashboard screen has three parts: A comprehensive analysis screen to provide appropriate feedback based on instructor feedback taxonomy analysis, a summary screen for learner analysis, and a recommended feedback guide screen. Detailed analysis information are provided through other dashboards that are displayed in eight screens: login analysis, learning information confirmation analysis, teaching materials learning analysis, assignment/tests, and posts analysis. All of these dashboards were represented by analysis information and data based on learner analytics through visualization methods including graphs and tables. The implications of educational utilization of the dashboard for instructor feedback support based on learning analytics and the future researches were suggested based on these results.