• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.31-46
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• 2019

The purpose of this study is to analyze the self-directed learning types of software education learners and to characterize them according to each type. To do this, 429 middle school students participating in online software education at K university were surveyed and a latent class analysis to analyze self-directed learning types was conducted. As a result, the self-directed learning types of the software education learners were classified into 'highest level of self-directed learning type (class 1)', 'self learning style recognition type (class 2)', 'self learning style preference type (class 3)', and 'lack of self-directed learning type(class 4)'. Also, the level of software learning achievement according to self-directed learning type of software education learners was found to be the highest at 'highest level of self-directed learning type (class 1)' and lowest at 'self learning style preference type (class 3)'. Based on these results, we suggested the strategic implications for software education.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.9-22
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• 2008

The purpose of this research is to develop a prototype of the support system in order for team building associated with web-based project learning having applied Kolb's learning style. To accomplish this purpose, the following research tasks were performed. First, core idea in order to embody the system's value, key activities, tools that will support pertinent activities and the strategy so as to develop guidelines, etc. were devised and prepared. Second, a system was designed on the basis of structural model of teaching design, then after, interface was developed. The core factors in this system are inspection of learning style, organizing a team and team building. Above all, it is required to make learners know about learning environments, of which they are in favor, and also its distinctive features through inspection of learning style, and then focusing on learning style, a team should be organized insomuch as to accommodate a variety of learning styles as much as possible. For the purpose of team building, after learning style of each constituent member of the team has been made known, then the roles will be divided among the constituent members of the team so as to suit their individual characteristics referring to each of their learning styles that have been exposed. To verify the value of this system developed and efficiency thereof, a focus group interview was conducted. The focus group consisted of professionals, all from related fields. After the interview, the points required to make further improvements were elicited and taken care of by follow-up actions as needed. And having reflected such improvements made, the final system was developed. With this newly developed system, learners can get the results of inspection of learning style so quickly by performing inspection any time any where, and based on the results from such inspection, a team comprising dissimilar constituents who exhibit a variety of different propensities will be automatically organized. Thus, this system may be used not only for web-based project learning having unspecified persons elected as constituents, but in the offline space also.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.1-7
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• 2017

Clipart is artificial visual contents that are created using various tools such as Illustrator to highlight some information. Here, the style of the clipart plays a critical role in determining how it looks. However, previous studies on clipart are focused only on the object recognition [16], segmentation, and retrieval of clipart images using hand-craft image features. Recently, some clipart classification researches based on the style similarity using CNN have been proposed, however, they have used different CNN-models and experimented with different benchmark dataset so that it is very hard to compare their performances. This paper presents an experimental analysis of the clipart classification based on the style similarity with two well-known CNN-models (Inception Resnet V2 [13] and VGG-16 [14] and transfers learning with the same benchmark dataset (Microsoft Style Dataset 3.6K). From this experiment, we find out that the accuracy of Inception Resnet V2 is better than VGG for clipart style classification because of its deep nature and convolution map with various sizes in parallel. We also find out that the end-to-end training can improve the accuracy more than 20% in both CNN models.

• Communications of Mathematical Education
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• v.29 no.1
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• pp.111-130
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• 2015

The purpose of the study was to investigate the differences between two groups of students according to information recognition styles such as visual learners and linguistic learners. Two instructional methods, algeblocks and factorization formula, were utilized to introduce the factorization. Four students were participated for the study, and two of them were visual learners and the other two were linguistic learners based on learning style test. Interviews and the diagnostic tests were implemented before the instructions which were lasted for 6 sessions. After the instructions all the participants were interviewed and the researchers also interviewed them 5 days later. The results of the study were the followings: 1. All the participants regardless of their learning style revealed that algeblocks were helpful in understanding the factorization. 2. Visual learners were more likely using algeblocks, while the linguistic learners were more enthusiastic and proficient in using formula to solve the problems. 3. Five days later, two types of learning style students revealed different tendencies. Visual learners mainly used algeblocks, and linguistic learners were not enthusiastic about using algeblocks and one of them did not use them at all. 4. Five days later, two visual learners could not remember the formula, but linguistic learners could remember the formula in somewhat different level.

• Journal of Gifted/Talented Education
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• v.19 no.1
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• pp.141-162
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• 2009

The purpose of this study was to find out the learner's characteristics of students of Korea Science Academy by comparing general high school students and science high school students to Korea Science Academy students in terms of scientific attitude, learning styles, preferred teaching style, and learning environment, and to find out the differences of the learner's characteristics by gnender and school number, and to establish teaching strategies based on the findings. First, scientific attitude level of Korea Science Academy students was similar with science high school students and was high level comparing with general high students. Second, for learning style, the students of Korea Science Academy had many independent, collaborative and participatory types, Third, for the prefered science teaching style, the students of Korea Science Academy had high demands for diversification and thinking at higher levels girl students had open-mindedness and cooperation and voluntariness of higher level in scientific attitude, had more independent types in leraning style, and had higher preference of teacher's support, subject convergence and permissive atmosphere than boy students. there were no difference of student's characteristics and preferences by school number. Based on the findings, we proposed 4 teaching strategies.

• 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.

• Journal of Korean Elementary Science Education
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• v.25 no.spc5
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• pp.495-506
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• 2007

This study investigated the differences in learning activity preferences according to different thinking styles between gifted and average students. A cluster analysis procedure was performed to classify students on the basis of thinking styles. Two clusters of different thinking styles were deduced: the gifted group with a high level thinking style (cluster 1), and the average group with a low level thinking style (cluster 2). The gifted group (cluster 1) preferred projects, simulations, discussions and game activities to other types of loaming activities. Gifted students and average students also were clustered into each three unique subgroups with respect to levels and patterns in thinking styles, and these subgroups also showed different learning preferences. The clusters of gifted students included the self-regulated learning type (cluster a), cooperative-learning type (cluster b), and the passive-learning type (cluster c). The clusters of average students included the independent learning type (cluster i), no-preference learning type(cluster ii), and the no-motivation & teacher-directed learning type (cluster iii). Theses clusters indicated significant differences not only in thinking styles but also in terms of preferences regarding learning activities. Theses findings are discussed in terms of their educational implications.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.3
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• pp.413-422
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• 2013

Purpose: This study was designed to explore the influencing factors on communication skill of nursing students and to investigate the relationship between learning style, critical thinking disposition and communication skill, Methods: The study sample was composed of 559 nursing students. Data was collected from 1st to 30th, May 2012 used a questionnaire which included Kolb's learning style inventory, critical thinking disposition inventory, communication skill inventory. The SPSS 18.0 Window program was used for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression. Results: Learning styles of subjects were diverging 39.5%, accommodating 32.6%, assimilating 22.7%, and converging 5.2%. The total mean score of critical thinking disposition and communication skill was 3.58 and 3.39 respectively. The score of Critical thinking disposition(t=3.06, p=.002) and Communication skill(t=3.25, p=.002) significantly differed between clinical practice satisfaction. Communication skill was the most significant predictor and accounted for 41.3% of the variance in critical thinking disposition in nursing students. Conclusion: It is important for students to use all four learning styles rather than to rely on one style. There should be more emphasis placed on the development of positive critical thinking disposition and communication skill of nursing students.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.9
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• pp.411-418
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• 2016

Learning analytic has been utilized to helps us to successfully complete the course by using the interaction of the teacher and the learner data generated from the teaching and learning support system. In other words, Learning analytic is a method in order to understand the activities of learners. In the learning analytic, the data model is needed in order to utilize the more useful for teaching and learning activities data. Therefore, in this study, we propose a user centric data model of learning styles and learning objects. This model is expressed by aggregating of user learning style, learning objects, and learning activities. The proposed model is significant that laid the foundation for analyzing the activities of the learners in course units.

• English Language & Literature Teaching
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• v.18 no.1
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• pp.217-235
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• 2012

The purpose of this study was to identify the perceptual learning style preferences of 97 Korean EFL students in middle school. Furthermore, it examined if students' learning styles varied in terms of gender and grade level. Data was collected by using Reid's (1987) PLSPQ and a personal background questionnaire and was analyzed by using descriptive statistics, MANOVA, ANOVA, and t-test. The results revealed that subjects had all six major learning styles but among them, auditory, group, and visual styles were the most preferred by them. The results found in this study, presented that Korean EFL middle school students favored learning English through listening, reading and working in groups and that younger students preferred learning through physical involvement and practicum. The findings of this study provide a number of useful insights for EFL and ESL educators and instructors in Korea. The current study suggests that a great number of variables such as culture, learning situation of the target country, age, and grade level can all play important roles in shaping the learning preferences and the learning styles of students. Considering these variables and promoting a curriculum that is interesting, appealing and successful may help maximize student L2 learning.