• 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.

• Fire Science and Engineering
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• v.34 no.2
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• pp.131-140
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• 2020

Existing verification research for how effectively the educational training of new fire officers has been applied to actual fieldwork is extremely insignificant. This is because only a few studies have empirically verified job implementation according to job satisfaction, which is believed to have a great influence on various aspects such as learner traits, educational programs, and learning outcomes. Moreover, it is necessary to conduct an empirical investigation regarding the effects of learner traits, educational programs, and learning outcomes on disaster scenes and the job implementation of fire administration on new fire officers. This study aims to provide an empirical analysis of the effects of educational training of new fire officers on job implementation. It has been identified that learner traits and learning outcomes have an effect on job satisfaction. Accordingly, job satisfaction, educational programs, learning outcomes, and learner traits have a significant effect (P < 0.05) on job implementation.

• Journal of Korean Elementary Science Education
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• v.28 no.1
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• pp.46-54
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• 2009

The purpose of this study was to examine the perception of students about pseudo-science in consideration to their personality traits, cognitive style, and awareness of the nature of science, which might all have a great impact on their behavior and thinking. The subjects of this study were 129 sixth-grade school children in a small urban community in Gyeonggi province. The way they looked at pseudo-science was investigated after three kinds of traits were selected as variables, including personality traits, cognitive style, and awareness of the nature of science. Four different instruments were utilized, which respectively covered personality traits, cognitive style, awareness of the nature of science and perception of pseudo-science. The results of the study were as follows: First, the children with higher emotional stability and liveliness showed higher permeability towards pseudo-science, while made no significant difference on their view of pseudo-science. Second, their cognitive style made no significant difference to their outlook on pseudo-science. Third, as for link between awareness of the nature of science and pseudo-science, the students with a poor understanding of the nature of science were significantly different from those who had a better understanding of it in perception of pseudo-science(p<.05).

• 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.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.

• 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 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.

• 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 Information Science Theory and Practice
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• v.4 no.3
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• pp.6-27
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• 2016

There has been a growing interest and enthusiasm for the application of virtual worlds in learning and training. This research proposes a design framework of a virtual world-based learning environment that integrates two unique features of the virtual world technology, immersion and interactivity, with an instructional strategy that promotes self-regulatory learning. We demonstrate the usefulness and assess the effectiveness of our design in the context of information security learning. In particular, the information security learning module implemented in Second Life was incorporated into an Introduction to Information Security course. Data from pre- and post- learning surveys were used to evaluate the effectiveness of the learning module. Overall, the results strongly suggest that the virtual world-based learning environment enhances information security learning, thus supporting the effectiveness of the proposed design framework. Additional results suggest that learner traits have an important influence on learning outcomes through perceived enjoyment. The study offers useful design and implementation guidelines for organizations and universities to develop a virtual world-based learning environment. It also represents an initial step towards the design and explanation theories of virtual world-based learning environments.