• Journal of Digital Convergence
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• v.20 no.4
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• pp.83-92
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• 2022

With the digital transformation of the entire industry, software competency has become the core competency for the future talent. However, it is difficult to find researches related to the corporate education for improving employee's software capability. Therefore, this study tried to verify the relationship between factors affecting the learning performance of employees in online software education. For this purpose, a survey of 223 employees with online software education experience was analyzed using the SPSS PROCESS macro. As a result of analysis, perceived usefulness and self-regulated learning have been found to have a significant multiple mediating effect on learning performance by digital literacy and satisfaction. This suggests that not only learner factors but also the characteristics of education should be considered. The results of this study are expected to be helpful in designing effective online education programs.

• The Journal of Korean Association of Computer Education
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• v.11 no.4
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• pp.37-46
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• 2008

Using robots in the programming classes may help to induce learners' interest and motivation. However, simple introduction of new media, such as robots, may cause to increase learners' interest level temporarily, but also may give cognitive overload and offense against learning motivation. We developed a robot programming course to induce intrinsic motivation and to reduce cognitive load for learners in the programming education. And then, we implemented the developed course in college programming classes and analysed the educational effects of robot programming learning on novice learners' flow level. We found that robot programming course was helpful in enhancing novice learners' flow level. Especially, the element of 'autotelic experience', which explains an intrinsic motivation, was higher than conventional programming course group. It means that the developed strategies for robot programming course provides positive effects on learners' intrinsic motivation.

• Informatization Policy
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• v.29 no.4
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• pp.26-42
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• 2022

In order to evaluate the usefulness of metaverse learning from the learner's point of view, this study 1) evaluated whether the expectancy-value of the class was satisfied before and after the learner used the metaverse learning platform and 2) verified factors affecting metaverse learning satisfaction with regard to the self-efficacy and expectancy-value of learners. Expectancy-value was evaluated by the learning effect, communication, class involvement, and learning attitude, whereas self-efficacy was evaluated by preference for task difficulty, self-regulation efficacy, and self-confidence. As a result of a study targeting 70 college students who applied for a few courses using the metaverse platform at a university in the northeastern part of Seoul, learners were found to have high expectations and values for learning before using the metaverse platform, but both were not statistically satisfied after use. In addition, the higher the self-efficacy of the learner, the higher the satisfaction with the metaverse learning, and statistically significant results were found in the task-difficulty preference and self-regulatory efficacy among the sub-factors of self-efficacy. There is a negative causal relationship between expectancy-value factors and satisfaction with metaverse learning. This study implies that it is a learner-centered evaluation of metaverse learning, revealing the expectancy-value effect and factors influencing the satisfaction with metaverse learning.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.892-896
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• 2008

인터넷 사용의 일상화와 초고속통신망의 급속한 확산은 웹 기반 원격교육의 보편화를 가져왔다. 웹 기반 원격교육은 전통적 교육방식인 면대면 교육방식의 새로운 형태로써 도입되었으나 학습자와 교육자의 요구사항으로 면대면 교육방식의 대체제가 아닌 전략적 도구로써 진화하고 있다. 웹 기반 원격교육은 e러닝, e멘토링, 블렌디드러닝 등 다양한 시도가 추세이다. 이러한 시도의 공통적인 특징은 학습자, 교육자, 시스템 간의 상호작용에 대한 요구사항이 높아지고 있다는 것이다. 이 연구에서 웹 기반 원격교육의 학업성취에 영향을 미치는 변인과 웹 기반 원격교육 시스템 상호작용에 대한 조절효과를 실증 분석하였다.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.104-111
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• 2019

In this study, we examined the effects of University adaptation on career adaptation through self-leadership and learning commitment, and identified the regulatory effects of demographic characteristics (sex, grade, grade level, and willingness to work). To this end, we analyzed the data for 289 college students. The results of the study are as follows. First, adaptation to University life has a significant impact on learning commitment and self-leadership. However, adaptation to University life has an indirect effect on learning commitment and self-leadership rather than directly affecting career adaptation. Second, demographic characteristics have a regulatory effect on the path through which University adaptation affects career adaptation through self-leadership and learning commitment. The factors that were regulated were age, grade, and willingness to work. Therefore, in order to adapt to university life and adapt to career, we developed a program to improve self-leadership and learning commitment, and suggested that customized guidance is needed considering the differences in personal characteristics such as gender and academic background in university life and career counseling.

• Communications of Mathematical Education
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• v.31 no.4
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• pp.457-485
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• 2017

The Self-reported Evaluation tool developed in this study allows the learners to check and evaluate their own learning by determining the details that are self-assessed. Also this tool allows learners to receive feedback on their self - evaluation results. In this study pre - post test was performed to investigate the effect of self - assessment on the learners' tendency of studying math. The result showed that Self-reported evaluation improved self - confidence, self - strategy on learning mathematics, and meta-cognitive ability. Also by conducting a qualitative analysis of the Self-reported evaluation, students practiced the cognitive activities such as summarizing the contents they have learned that day. They also tried to understand and improve the learning habit, attitude, and learning state. Teachers were also able to communicate with students by providing individual questions and feedback through student's individual Self-reported Evaluation.

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.273-280
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• 2005

Teaching-learning activities in a school class is influenced by the development of a information science in the 21 century. Recently, the instruction in a school class use a multimedia teaching-learning contents chiefly. A great number of teachers don't recognize a foundation of the effects on teaching-learning contents utilizing multimedia. In this paper, I propose to analyze and verify the foundation of effects on cognitive psychology of multimedia teaching-learning contents. The principal method of this study is to synthesize and analyze researches of scholars or literature study largely. In this paper, the foundations of effects on multimedia teaching-learning contents are following: the dual encoding of information process, the skill on direction and speed-regulation of learning, and the others educational strength. The theoretical conviction in multimedia teaching-learning contents is operated as the confidence of education contents & media utilized by teachers and learners, and is anticipated as the growth of the quantitative and qualitative learning activities.

• Journal of Korea Multimedia Society
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• v.5 no.6
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• pp.638-645
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• 2002

One of the potential advantages of computer-based instruction is individualization of instruction. However, this goal has not been fully realized in practice, due largely to limitations of natural language understanding and to combinatorial explosion. It is nonetheless possible to develop CAT(Computer- based Adaptive Testing) Programs which can adapt to students, depending on their performance, by adjusting the length of computer-based tests. The number of questions can be significantly reduced for many individuals, while mastery and nonmastery decisions remain highly accurate. In this paper, We design and implement a Diagnosis System using SPRT(Sequential Probability Ratio Testing). This system supports multimedia object, client/server environment, indvidual feedback, multi-SPRT and maintain student model for individualization of instruction. besides, this system measures coefficient alpha of each problem.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.101-109
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• 2016

Designing algorithms is a very important learning process in computational thinking education because it requires learner's logical and procedural thinking. But the case studies that have topics of algorithms learning and students' types of errors in learning algorithms are not enough. So the purpose of this study is to analyze students' errors that discovered in the process of learning three control structures of programming using flowchart and provide types of errors in designing algorithms. Results about tests of three types of control structures in university student's algorithms learning class showed different cases of types of errors; types of sequential control error are not presented in the class, types of conditional control error are presented in the case of setting the conditions of nested conditional control, and types of iterative control are showed in the many cases of iterative conditions, statements of single and nested iterative control structure. The results of study will be a good case study about teaching designing algorithms of computational thinking education in elementary, secondary school and university.

• Korean Journal of Child Studies
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• v.25 no.4
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• pp.163-175
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• 2004

In this study, 63 university seniors majoring Child Studies were in an 8-week Web Based Instruction (WBI) program. Student characteristics of learning motivation, self-regulatory learning strategy, and learning style (Kolb, 1985) were the independent variables. Learning effects as dependent variables were measured by paper test and work assessment. Spearman's $\rho$ was calculated and tests of rank order difference were used for the data analysis. Results showed that learning motivation and self-regulatory learning strategy had meaningful positive relations with learning effects on the paper test score. Learning effects showed differences by learning style. These findings indicated that the learner's characteristics should be considered in the design and development of more effective WBI environments.