• 대한공업교육학회지
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• v.38 no.2
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• pp.240-266
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• 2013

The purpose of this study is to investigate the self-directed learning readiness of university students' majored in science and engineering as life-long learners, and to analyze the relationship between self-directed learning readiness and learning style. Participants of this study are 142 students majored science and engineering in H university of Chung-nam province to participate in taking self-directed learning readiness tests and Kolb's learning style tests. The results of this study are as follows: First, the average of overall participants' self-directed learning readiness is 3.41, which is possibly regarded as 'an average' according to Guglielmino & Guglielmino (1991)'s interpretation of scores. Second, among four basic scales of participants' learning styles, the highest is found in Active Experiment (AE), the lowest is found in Abstract Conceptualization (AC). In addition, the highest thing of the four learning styles found among the participants is divergers (36.6%) and the lowest is convergers (13.4%). Finally, this study compares the high-level and low-level groups of self-directed learning readiness score with learning style. there is a statistically significant correlation between the score of self-directed learning readiness and CE, AC (p=.01). Therefore, self-directed learning readiness is related to learning style.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.227-237
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• 2020

This study was designed to examine whether the self-directed learning method could improve self-directed learning readiness and the effects of academic achievement level. Self-directed learning readiness was investigated among 63 first-year Medical Terminology undergraduates in the C area. A repeat measurement variance analysis of the general linear model was conducted to evaluate the effects of improving self-directed learning readiness according to the general characteristics and level of academic achievement, while a regression analysis was performed to identify the factors affecting self-directed learning readiness. Self-directed learning readiness increased from 177.3 to 180.8 for those under 18 years of age, and 192.9 to 196.5 for those over 19 years of age (p<0.05). After the team activity, the overall self-directed learning readiness was improved, and both high- and low-achieving groups showed statistically significant improvements (p<0.05). The environment surrounding learners was confirmed to have a positive effect on improving self-directed learning when given the right degree of self-directed learning and appropriate feedback. The study results are expected to form basic foundation material for professors and class designers who want to draw self-directed learning skills from memorizing subjects.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.309-318
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• 2016

This study aims to investigate the effects of self-efficacy and self-directed learning readiness to self-leadership of nursing students. The data of self-efficacy, self-directed learning readiness and self-leadership was collected for the nursing students of K university in K city from Sep. 2015 to Nov. 2015. The results show that self-efficacy is different according to subjects' age, and self-directed learning readiness is different according to the grade. The correlations among self-efficacy, self-directed learning readiness and self-leadership are significant, and the self-directed learning readiness is a significant predictor of self-leadership. It is expected that the nursing students will be able to act as a leader in clinical practice and health care by promoting self-directed learning readiness from the university education, and it is required to develop and operate the self-directed learning readiness program including the opinions of learners.

• Communications of Mathematical Education
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• v.26 no.1
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• pp.15-28
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• 2012

In order to study the relation between self-directed learning readiness and mathematical inclination, we survey the adjusted SDLRS(self-directed learning readiness scale) of Guglielmino's model and the mathematical inclination, the recognition of mathematics for 2011 year engineering freshmen in D university. Research results are as follows: First of all, middle level engineering freshmen showed average level of self-directed learning readiness, and they had lower level of motivation, passion and time management skill. The relation of SDLR and the mathematical inclination was strong. Furthermore, SDLR and the recognition of mathematics in engineering freshmen was found to be the most closely related. Based on the results of the study, we suggest to study of strategies to elevate SDLR of engineering students and improve their achievement in college mathematics. Especially, we suggest that college mathematics for engineering freshmen must be focused on the improvement of SDLR.

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.64-75
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• 2008

The purpose of the study was to verify reliability and validity of SDLRS instrument and to prove up possibility of usage as an evaluation method for evaluating life-long learning. Literature review and survey were used to accomplish objectives of the study. 218 students in department of mechanical engineering of A university at Gyunggi province were responded for SDLRS(Guglielmino, 1977) instrument. Data were analyzed using descriptive statistics, factor analysis, t-test, and ANOVA test. 58 items in original version instrument were converted to 23 items. There were 7 factors for assessing the self-directed learning readiness according to this measurement scale with a total variance of about 58%. The total reliability of the final 23 items was $\alpha$. The final 7 factors consisted of love for learning, openness for learning, self-perception, basic learning function and independence, acceptance of responsibility for learning, leadership and future directivity, and creativity and exploration. The result of SDLRS analysis according to individual background, there were significant statistically in the grade, period of employment in industry, entering graduate school or not, and GPA, but no significant statistically in sexual difference, employment in industry or not, final academic level of parent, and income level of the family. In the future, final instrument will be needed to check in the respect of correlation with another ability and skill influencing on life-long learning, and more study will be done for developing life-long learning.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.265-277
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• 2020

The purpose of the study was to investigate the effect of emotional intelligence and career preparation behavior on self-directed learning ability in high school girls. Data were collected by self-reporting questionnaires from 231 high school girls in May, 2019. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS/WIN 23.0 program. The result showed that self-directed learning ability was positively correlated with emotional intelligence(r=.560, p<.001) and career preparation behavior(r=.232, p<.001). Enter multiple regression revealed emotional intelligence(β=.515, p<.001), grade 'average'(β=.376, p<.001), grade 'good'(β=.274, p<.001) and career preparation behavior(β=.128, p<.05) to be significant predictors of self-directed learning ability. These variables accounted for 44.0% of self-directed learning ability. The result of this study suggest that emotional intelligence and career preparation behavior be considered when developing strategies to increase self-directed learning ability in high school girls.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.293-300
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• 2012

This study investigates the causal relationships among flow experience, self-directed learning readiness, internet addiction and academic achievement in web-based computer education. The gender differences in path models were also examined. The results indicated that, self-directed learning readiness has positive and direct influence on flow experience and academic achievement. And self-directed learning readiness has a negative and direct influence on internet addiction. For female students, academic achievement was positively and directly influenced by flow experience and indirectly by self-directed learning readiness. However, the mediating effect of flow experience and indirect effect of self-directed learning readiness were not significant for male students.

• School Mathematics
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• v.7 no.3
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• pp.253-268
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• 2005

It is important that students have the ability to prepare, practice, and reflect their mathematics learning. This study defines the self-directed learning ability based on Vygotsky. We consider the components of self-directed learning in aspects of motivation, learning strategy, and metacognition, and analyse 10 factors of self-directed learning ability Thus we develop the self-directed mathematics learning test, which is tested by factor analysis.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.486-496
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• 2014

The purpose of this study was to examine the role of self-directed learning readiness between career maturity and academic stress. To examine it, a total of 582 cyber universities were participated in this study, and correlation analysis and regression analysis were conducted. Therefore, career maturity was significantly positive correlated with self-directed learning readiness and it was significantly negative correlated with academic stress. In addition, it was revealed that self-directed learning readiness mediated between career maturity and academic stress. Based on the results, we discussed the strategies for reducing academic stress for cyber students, limitations and suggestions for future researches were also discussed.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.581-592
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• 2020

This research aims to explore the effect of participation in 'peer tutoring(learning tutoring)' program designed for low achiever students, and to provide an explanation for the improvement of related extracurricular activity. For this, firstly, the study analyzed differences between goal attainment group and non-attainment group in self-directed learning readiness, learning presence and learning transfer. Secondly, the relationships between three variables were analyzed. Based on an online survey of 154 low achievers participating in learning tutoring, two research questions were examined using t-test, correlation and hierarchical multiple regression analyses. Our findings show that firstly, the academic achievement after participating in tutoring improved more than before. Secondly, there were differences in three variables by gender and grades. Also, there were differences in three variables between two groups. Finally, there was a high positive correlation between three variables, and 71% of learning transfer was explained by self-directed learning readiness and learning presence. Based on these findings, the practical implications are discussed regarding the improvement of tutoring program.