• Educational Technology International
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• v.13 no.1
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• pp.101-144
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• 2012

Students mostly precede their learning without any direct support of instructor in e-learning and mobile educational environment. Many useful strategies and tools to facilitate self-regulated learning behaviors in e-learning environment have been introduced, yet, the limit has been reached by only suggesting self-regulated strategies with visual information in the most researches. Accordingly, this research is intent to propose the sound design strategies that facilitate learner's self-regulated learning behaviors in mobile learning environment. To achieve the objective of the research, two research questions are presented. First, what are the sound design strategies that facilitate the self -regulated learning behaviors in mobile learning environment?. Second, what are the results of evaluating the developed sound design strategies in terms of facilitating self-regulated learning behaviors?. To solve these research questions, the literature reviews on characteristics of mobile learning, concepts and features of self-regulated learning and sound were done to establish the sound design strategies. Through formative research method targeting instructional designers, sound design strategies were modified and supplemented. The research to validate these was performed and to verify the effect of the derived sound design strategies, the usability test aimed at instructional designer and learners was conducted. The final sound design strategies through this research process were six general design strategies and the sixteen detailed strategies. This research is meaningful because this offers the basic research on sound information design which has been lacking and help upgrade the upper limit of instructional design which mainly focused on visual information in mobile learning environment that shows information in a small screen.

• Journal of Engineering Education Research
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• v.16 no.5
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• pp.24-35
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• 2013

This study aims to explore self-directed learning strategies of high academic achievers majoring in engineering. The research participants were 21 fourth-year students who had attained the first or second highest cumulative grade point average in each department during the past three-year and were asked to write an essay on "my successful learning methods or techniques." The essays were analyzed by theme analysis method which is one of the qualitative methods to extract the self-directed learning strategies used by high performing students. According to the results of this study, the self-directed learning strategies of excellent students could be categorized into fundamental strategies to induce self-directed learning, preparatory strategies, implementation strategies and management strategies for marinating self-directed learning. Detail information on each category is as follow: 1) fundamental strategies refer to positive and pleasant mind, academic confidence and effort attribution, 2) preparatory strategies refer to concrete and challenging goal setting, establishment of learning strategies adjusted courses characteristics and practical learning planning, 3) implementation strategies refer to intensive learning in class, knowledge exploration, knowledge acquisition, social networking and exhaustive preparation for exams and 4) management strategies refer to time management and learning environment management.

• Korean Medical Education Review
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• v.11 no.1
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• pp.35-43
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• 2009

Learning strategies are defined as behaviors and thoughts that a learner engages in during learning and that are intended to influence the learner's encoding process. Today, demands for teaching how to learn increase, because there is a lot of complex material which is delivered to students. But learning strategies shouldn't be identified as tricks of students for achieving high scores in exams. Cognitive researchers and theorists assume that learning strategies are related to two types of learning processing, which are described as 'surface learning' and 'deep learning'. In addition learning strategies are associated with learning motivation. Students with 'meaning orientation' who struggle for deep learning, are intrinsically motivated, whereas students with 'reproduction orientation' or 'achieving orientation' are extrinsically motivated. Therefore, to foster active learning and intrinsic motivation of students, it isn't enough to just teach how to learn. Changes of curriculum and assessment methods, that stimulate deep learning and curiosity of students are needed with educators and learners working cooperatively.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.1
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• pp.16-23
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• 2013

Purpose: The purpose of this study was to examine the effects of intrinsic motivation and e-learning strategies on nursing students' learning satisfaction in blended e-learning environment. Method: The survey was performed with 111 undergraduate nursing students who have taken community health nursing in 1 university. The data was collected by questionnaires and were analyzed with the IBM SPSS statistics 20.0, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Results: The mean score for intrinsic motivation was 3.25, for e-learning strategies, 3.56, and for learning satisfaction, 3.69. Significant positive correlation among intrinsic motivation, e-learning strategies, and learning satisfaction. The regression model explained 41.4% of learning satisfaction. Both intrinsic motivation and e-learning strategies were significant predictor of learning satisfaction. Conclusion: In order to improve the learners' learning achievement and learning satisfaction in blended e-learning environment, intrinsic motivation should be strengthen and e-learning strategies should be developed.

• International Commerce and Information Review
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• v.12 no.2
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• pp.109-132
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• 2010

The purpose of this study is to survey the learning strategies and learning styles of the undergraduates in international e-trade simulation education. The set of learning strategies are investigated and the analysis is made how learning styles could affect the learning strategies. The subjects of this study were 112 undergraduates majored in international trade and their classes were using e-trade simulation. It is found that the undergraduates' learning strategy level is not high because the simulation education is not common yet in e-trade classes. The levels of self-efficacy and positive attitudes have high level whereas the expression strategy has the lowest. Strong results were not found among undergraduates' learning styles by each of the 11 strategies except two cases. One is that the undergraduates who had experiences of e-learning have higher level of social strategy than those of non e-learning experience group. The other is that the more the students spend the time in the simulation class, the more they have positive attitudes. This study supports that the simulation can increase the effectiveness of e-trade learning.

• Educational Technology International
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• v.23 no.1
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• pp.41-66
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• 2022

Vocabulary learning plays an important role in language learning. This study explored a new paradigm based on social networking site (SNS) supported collaborative learning for vocabulary learning. SNS supported collaborative learning (SSCL) can effectively promote learners' engagement, interest and motivation by providing a more communicative and interactive environment. However, vocabulary learning studies on SSCL mainly focused on the effectiveness and influencing factors, lacking specific instructional strategies. Therefore, this study aims to develop instructional strategies that guide instructors to create an SSCL environment for facilitating vocabulary learning. The final instructional strategies are composed of three stages according to the course process, consisting of 8 general strategies and 21 specific guidelines. The content validity was ensured by four experts in the field of educational technology. The instructional strategies were then applied in an actual classroom with 16 students. The positive responses from the instructor and learners indicated that SSCL can be reasonably incorporated into the current curriculum to provide effective learning opportunities and to promote learners' vocabulary learning.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.2
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• pp.217-239
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• 2010

This study is to understanding characteristics of Mathematical gifted children by comparing and analyzing of the learning strategies between gifted children and average students. The result of this study is as below. First, the mathematical gifted children's application ability on the cognitive meta-cognitive strategies and learning resources management strategies was higher than average students. Second, in case of learning resources management strategies between gender, male mathematical gifted students's t-test showed higher than female gifted students. Also, in case of average students, male student's t-test for the learning motive was higher than average female students. Third, mathematical gifted children are positive correlation among the learning motive, self-efficacy, cognitive meta-cognitive strategies, and learning resources management strategies. And in case of average student, it had a positive correlation among the learning motive, self-efficacy, and cognitive meta-cognitive strategies. But there is no correlation between learning strategies and cognitive meta-cognitive strategies.

• Journal of Gifted/Talented Education
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• v.6 no.1
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• pp.93-109
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• 1996

The purpose of this study was to investigate the relationship between learning strategies and cognitive learning abilities with achievement scores of elementary school children. To achieve this purpose, 109 sixth grade children were sampled in Seoul-City, and the 'Questionnaire on the Learning Strategies and Learning Abilities Test' were administered to them. The collected data were analyzed by Pearson's Product Moment Correlation and Multiple Regression Analysis. The major findings of this study were as follows: Firstly, there appeared to be statistically significant correlations between learning strategies and achievement scores. The process of thinking variable of learning strategies were most significantly correlated with achievement scores(r=.251- .458, p<.01). The calculated R2 indicated that the combined effects of process of thinhng and affective domain on the achievement scores were about 21.5%. Secondly, there appeared to be statistically significant correlations between cognitive learning abilities and achievement scores. The verbal reasoning and verbal comprehension variable of cognitive learning abilities were most significantly correlated with achievement scores(r=.215-,493, p<.01). The calculated R2 indicated that the verbal reasoning and verbal comprehension variable of cognitive learning abilities explained about 27.6% of the variance of achievement scores. Thirdly, there appeared to be no statistically significant correlations between learning strategies and cognitive learning abilities. The results of this study shows that the development of learning strategies and cognitive learning abilities could improve the achievement scores in school learning.

• Journal of The Korean Association For Science Education
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• v.18 no.3
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• pp.327-336
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• 1998

The purposes of this study were to investigate 6th-graders' use of cognitive strategies and metacognitive strategies in usual learning and testing situations, and to compare the difference in the use of the strategies by students' science achievement, learning motivation, and gender. The relationship among these strategies, science achievement, and learning motivation were also examined, and the portion of variance of explanation for achievement score was studied by a multiple regression analysis. The results showed that high-achieving students used more cognitive strategies and metacognitive strategies in usual learning and more cognitive strategies in testing situations than low-achieving students. Highly motivated students used more cognitive and metacognitive strategies than poorly motivated students in all situations. Elementary female students used more learning strategies than male students in usual learning. On the other hand, no gender differences was found to be significant in the use of strategies in testing situations. These learning strategies were significantly correlated with the science achievement and motivation scores. The cognitive strategies in usual learning accounted for the significant portion of the variance of the achievement score. Educational implications are discussed.

• Journal of The Korean Association For Science Education
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• v.17 no.1
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• pp.103-113
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• 1997

The purpose of this study was to identify the preferable learning strategies in science learning and to find out the relationship between these strategies and scientific achievement of students in the secondary school. The learning strategies were tested with two categories, self-focused and work-focused learning. The four types of learning strategies in science learning were analyzed, and they were named to organization, monitoring, elaboration and memorization strategies, which were defined by GSSS test. In the self-focused learning, the organization and monitoring strategies were preferred to the elaboration and memorization strategies. Middle school students had a preference for memorization strategy (p=0.000), whereas high school students had a preference for monitoring strategy (p=0.015). In the case of organization strategy, female groups were preferable to male groups (p=0.027). In the second form of learning types, work-focused learning, the memorization strategy was the same preference as organization and monitoring strategies in the secondary school students, especially the male groups of high school students. The preference of elaboration strategy was relative lower compared with that of self-focused learning type. Middle school students had a preference for monitoring strategy (p=0.001), whereas high school students had a preference for elaboration strategy (p=0.001). The difference of each preference between male and female groups was not shown. From the analysis of correlation between learning strategy and scientific achievement, it showed that the monitoring strategy was commonly correlated with scientific achievement. In the self-focused learning, elaboration and organization strategies were correlated with scientific achievement in high school students (p<0.05). In the work-focused learning, memorization strategy was correlated with scientific achievement in middle school students, especially in male groups (p<0.05).