• Communications of Mathematical Education
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• v.28 no.4
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• pp.475-492
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• 2014

This study aimed to explore the affective characteristics of primary and middle school students in mathematics and to analyze the relationship between the affective characteristics and initiative in mathematics learning. For the purpose of this study, a survey was conducted for students in a primary and a middle school in Incheon area. The questionnaires using in this study consisted of five affective domains of interest, self-efficacy, value, self-regulation, and mathematics anxiety. The results of this study showed that the participant students' affective characteristics tended to be decreased by grades. Moreover, the gender differences were increase as the participant students grew older. Students who take the initiative in mathematics learning showed better affective characteristics in general than students who depends on other assistants.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.580-582
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• 2003

정보화 시대의 요구에 대한 교육적 대응은 학습자 중심의 교육이며, 정보통신기술을 기반으로 한 원격교육이다. 특히 인터넷에서 가장 활발하게 사용되고 있는 웹은 그 특성상 구성주의 학습 원리를 실현하는데 적절한 환경을 제공하고 있으며, 교육 시스템의 변화를 가져오고 있다. WBI(Web Based Instruction)는 웹을 매체로 활용하여 원거리에 있는 학습자를 교육시키는 형태로서 교수자와 학습자간 상호작용을 가능하게 하고 다양한 형태의 학습자료를 제공하며, 공간적 제약을 극복할 수 있다는 장점이 있다. 본 논문에서는 웹에 기반한 교육적 활용의 한 모델로서 학습자의 자기 주도적이고 적극적인 학습을 촉진하기 위한 자기 주도적 학습이론과 학습자의 개인차를 고려한 수준별 학습이론을 적용하여 효율적인 웹 기반 학습이 가능하도록 하였으며 이러한 학습이론을 웹에 기반한 정보처리 기능사 필기시험에 적용함으로써 실업계 고등학교 교육현장의 비효율성과 기존의 문제은행 시스템의 문제점을 보완하여 시험준비에 보다 효율적으로 대비하도록 설계 및 구현하였다.

• The Journal of the Korea Contents Association
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• v.7 no.10
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• pp.59-68
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• 2007

This study examined the analyses of students and teachers' perceptions on learning style in IBL. This study analyzed 386 elementary school (ES) and 627 middle school (MS) students and 130 cyber teachers how they perceived learning styles in IBL. They filled out the 15 items questionnaire about three different learning styles (self-directed preference style, cooperative preference style, and dependent style) in IBL, and were compared their perceptions in terms of students comparisons (ES vs. MS) and students and teachers comparisons. The results showed that the students and teachers preferred the self-directed preference learning style rather than cooperative preference style and dependent styles. However, the teachers judged the students more likely self-directed and dependent style than the students judged themselves. Also, there were statistically significant differences between ES and MS students on the dependent learning style and ES and MS teachers as well. In conclusion, this study suggests the different design and development strategies in IBL contents for ES and MS students preferred teaming styles. Tutoring strategies for cyber teachers should be also developed to understand learners' different loaming styles in IBL.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.402-410
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• 2009

A lot of learning systems are applying self-directed learning to increase learner's learning effect. But most of this methods are hardly applied to fit the construction of learning contents considering learner's characteristics or it was processing the learning course without learner's choice. In this research, we proposed the recommendation method that can support the learning contents as calculate learner's preference contents based on learning history information when learner design the learning course. In the result, we chose test learner group and was able to know to generally increase average score of each learner after test between existing method and proposal one.

• Journal of Advanced Navigation Technology
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• v.13 no.2
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• pp.296-301
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• 2009

In the self-directed learning, learner can construct learning course. But it is very difficult for learner to construct learning course with understanding the various learning contents's characteristics. This research proposed the method to support to learner the information of learning contents type to fit the learner as calculate the learner's learning preference when learner construct the learning course. The calculating method of learning preference used preference vector value of topic map. To apply this method, we tested 20 learning sampling group and presented that this method help to learner to construct learning course as getting the high average degree of learning satisfaction.

• 대한지구과학교육학회:학술대회논문집
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• 2010.08a
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• pp.34-35
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• 2010

• Journal of Digital Convergence
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• v.15 no.12
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• pp.35-45
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• 2017

This study aims to explore the effect of quality factors and learning styles on users' satisfaction in e-Learning context. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from university students. The quality factors of e-Learning were classified into contents, system, service, and interpersonal activities while learning styles were classified into positive-cooperative, self-directed, environmental-dependent, and passive styles. The results showed that each quality factors of e-Learning has a strong positive effect on user satisfaction, and self-directed group has higher satisfaction than other groups. Learning styles have moderating effects on the quality-satisfaction relationship, and especially, the group of passive learning style has a strong moderating effect on the interpersonal activities. Theoretical and practical implications and future research directions are drawn from these findings.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.501-511
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• 2023

Purpose: The purpose of this study was to investigate relationship among self-directed learning, confidence of performance, clinical learning environment and Clinical Competency of nursing students. Methods: 178 nursing students participated. Data analysis was performed using descriptive statistics, t-test, ANOVA and pearson's correlation coefficients with IBM SPSS Statistics 21.0. Results: Mean score of self-directed learning, confidence of performance, clinical learning environment and clinical competency was 3.36, 3.42, 3.20 and 3.66 points. There was significant positive correlation among self-directed learning, confidence of performance, clinical learning environment and clinical competency. Conclusion: Therefore, in order to improve the clinical competency of nursing students, it is necessary to systematize core nursing skills education and continuously improve the clinical learning environment through close industry-academia cooperation and relationship.

• The Journal of Korean Association of Computer Education
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• v.16 no.5
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• pp.59-68
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• 2013

The purpose of this study is to analyze the satisfaction and effective variables in online learning for low-income students. An Web-survey was conducted to measure its satisfaction and effectiveness. 285 students participated in the study. T-test and ANOVA were used to analyze the data. The result of satisfaction was fairly positive. In addition, there were differences in effectiveness. In specific, the each group of female, elementary school, higher level of achievement, and higher level of self-regulated learning group students showed higher satisfaction than the others. Suggestions and future research are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4621-4631
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• 2015

The purpose of this study is to find the grounds for nursing students and teaching professors to confirm the importance of planning and preparing academic careers according to proper time management by determining the learning style exactly for themselves. For this purpose we investigated the learning style and time management behavior of the nursing student in university. The data was collected for 1 months from Nov. 1 to Dec. 2, 2013 in four universities which located in D city and C province. The research tool were used to measure of the learning style, time management behavior and self-directed learning. The participants were 246 nursing students at university who understand the purpose of study and agree to answer it. The data was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, stepwise regression using the IBMSPSS/WIN 19.0 program. The result of this study was that the predicting factors for self-directed learning were time management behavior(${\beta}=.629$, p<.001) and adjustment to university life(${\beta}=.153$, p<.001). The variables explained the self-directed learning by 51.4%. This study shows that professors have to encourage students to realize the importance of effective time management for planning, performing and evaluating the academic career for themselves and take into account the related programs about self-directed learning.