• School Mathematics
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• v.15 no.3
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• pp.619-632
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• 2013

One area where research is especially needed is their elaboration process and how they elaborate their idea as a group in a mathematical board game re-creation project. In this research, this process was named 'Mathematical Elaboration Process'. The purpose of this research is to understand how the gifted children elaborate their idea in a small group, and which idea can be chosen for a new board game when they are exposed to a project for making new mathematical board games using the what-if-not strategy. One of the gifted children's classes was chosen in which there were twenty students, and the class was composed of four groups in an elementary school in Korea. The researcher presented a series of re-creation game projects to them during the course of five weeks. To interpret their process of elaborating, the communication of the gifted students was recorded and transcribed. Students' elaboration processes were constructed through the interaction of both the mathematical route and the non-mathematical route. In the mathematical route, there were three routes; favorable thoughts, unfavorable thoughts and a neutral route. Favorable thoughts was concluded as 'Accepting', unfavorable thoughts resulted in 'Rejecting', and finally, the neutral route lead to a 'non-mathematical route'. Mainly, in a mathematical route, the reason of accepting the rule was mathematical thinking and logical reasons. The gifted children also show four categorized non-mathematical reactions when they re-created a mathematical board game; Inconsistency, Liking, Social Proof and Authority.

• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.411-437
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• 2018

This paper articulates the STI strategy development principles and methodologies that have been elaborated through iterative processes of STI strategy development cases for the past ten years. The consultation cases include poverty traps in Nepal and Laos, African health challenges in Nigeria and Tanzania, and ASEAN global challenges in Indonesian Water, Vietnamese Green Energy, and Filipino Food, in partnership with some multilateral agencies.The iterative elaboration process has continued with consultation activities on Thailand and on Cambodia, Laos and Myanmar in planning partnership with Thailand. The principles were originally conceptualized from the benchmarking process of the Korean STI development experience. They were further incorporated as methodologies with which relevant planning bodies are guided to address individual and regional challenges through science, technology and innovation strategies. The methodologies are strong in providing plausible holistic perspective scenarios by which various stakeholders can be engaged in the planning and implementation process. But it is heuristic in nature and can be learned only through on-the-job training process. This is the structural limitation for scaling up.

• Journal of Gifted/Talented Education
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• v.25 no.6
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• pp.905-926
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• 2015

This study examined differences among high, medium, and low achievers' motivation, self-regulation strategy, and learning style in an online gifted program. The sample included 788 middle and high school students who participated in the 3-months online gifted program. Participants volunteerly completed 60 questions on their motivation, self-regulation strategy use, and learning style. Multivariate analysis of variance(MANOVA) was conducted for data analysis using SPSS 19.0. The results of this study showed that (1) as levels of students' achievement increased, levels of intrinsic motivation increased as well; (2) statistically significant differences also existed on the levels of elaboration strategy, effort management, and time management strategy use among three levels of achievement and (3) no significant differences in students' learning style preference were found between competitive or cooperative learning style. To sum up, high achieving students' levels of intrinsic motivation, elaboration strategy, effort management strategy, and time management strategy use were the highest compared to medium and low achieving students.

• Journal of Korean Elementary Science Education
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• v.26 no.3
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• pp.286-294
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• 2007

This study investigated the relationship between elementary school students' creative problem solving skills in terms of science and cognitive strategies. Creative problem solving in science was measured by 4 variables; appropriateness, scientific ability, concreteness, and originality. Cognitive strategies were measured by 6 variables; surface(rehearsal), deep(elaboration and organization), and metacognitive strategies(planning, monitoring, and regulating). The KEDI Creative Problems Solving Test in Science(Cho et al., 1997) and the Motivated Strategies for Learning Questionnaire(Pintrich & DeGroot, 1990) were administered to 72 subjects. Data were analyzed by means of Pearson's correlation and multiple regression analysis. Our findings indicated a positive correlation between creative problem solving in science and cognitive strategies. The surface cognitive strategy (rehearsal) positively predicted the total score, the scientific ability's score, the concrete score, and the original score of creative problem solving in science. The deep cognitive strategy(organization) positively predicted the appropriate score and the metacognitive strategy(planning) positively predicted the original score of scientific creative problem solving skills.

• Journal of Engineering Education Research
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• v.21 no.5
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• pp.20-31
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• 2018

The purpose of this study was to investigate the relationship between instructional strategies applied to engineering courses and students' learning strategies. As a result, students perceived that the application principle was the most applied and then the problem-centered principle was applied to engineering courses. In addition, the students showed that rehearsal strategies are the most used in courses. The most important instructional principle in this study was the problem-centered principle, and the higher the degree of application of problem-centered principle in engineering course, the students were likely to use more deep learning strategies such as elaboration and organization strategy, critical thinking strategy, and metacognitive strategy.

• Journal of Gifted/Talented Education
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• v.18 no.1
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• pp.23-52
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• 2008

The purpose of this study was to examine the Structural Equation Model (SEM) of scientific problem finding ability based on science related attitude, motivation and self-regulation learning strategy of the gifted in science. A total of 153 scientifically gifted students were selected from a university-based Sifted education center The instruments used for the study were Test of Science-Related Attitudes, Motivated Strategies for Learning Questionnaire (MSLQ), and Science Problem Finding Test. In order to examine Structural Equation Model (SEM) of scientific problem finding ability, we assumed scientific problem finding model related to science inquiry, model I (domain specific), and scientific problem finding model related to creativity, model II (domain general) The results of this research are as follows. First, the correlations between science related attitudes and MSLQ were significant; motivation and self-regulated learning strategy as sub factors were positively correlated to science related attitudes. Only scientific attitude as a sub factor of science related attitudes was significantly correlated to elaboration of creativity category in scientific problem finding ability. In other hand, self-regulated learning strategy was significantly correlated to elaboration, inquiry motivation and inquiry level in scientific problem finding ability. Second, as the results of SEM analysis, we confirmed model I and model II were the best adequate through the indices of best fit (TLI, CFI>.90, RMSEA<.08); scientific problem finding ability was directly influenced motivation and self-regulated learning strategy but science related attitudes indirectly influenced scientific problem finding ability through motivation and self-regulated learning strategy. Based on the results, the implications for science gifted education were discussed.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.397-409
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• 2015

Nowadays, crowdfunding presents a promising development. This research focuses on the influence of platform strategy and market response on the success of crowdfunding from the perspective of the elaboration likelihood model (ELM) theory. Detailed product specifications, crowdfunding difficulty coefficient, vivid advertising video such as introduction and music, and recommendations from relevant figures are all used to depict platform strategy. Meanwhile, we use the number of lovers, followers, comments and 1 RMB backers to measure the level of market response. And thus, we model the impact of platform strategy and market response on crowdfunding success with empirical studies based on 400 samples of observed value. We found firstly that there exist significant positive relations between the total amount of funds pledged and detailed product specification, vivid advertising video, recommendations from relevant figures and the number of 1 RMB backers. Secondly, the crowdfunding difficulty of projects affects negatively, and significantly, the total amount of funds pledged. Thirdly, the influence of the number of lovers and followers on funds pledged is not significant.

• The Mathematical Education
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• v.50 no.1
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• pp.103-118
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• 2011

The study examined whether the relation between mathematics self-efficacy and mathematics achievement was partially mediated by the learning strategies, using latent growth model analyses. It was also examined the auto-regressive, cross-lagged (ARCL) panel model for testing the stability and change in the relation of mathematics self-efficacy and learning strategy over time. The study analyzed the first-year to the third-year data of the Korean Educational Longitudinal Survey (KELS). The result of ARCL panel model analysis showed that earlier mathematics self-efficacy could predict later learning strategy use. There were linear trends in mathematics self-efficacy, learning strategy, and mathematics achievement. Specifically, mathematics achievement was increased over the three time points, whereas mathematics self-efficacy and learning strategies were significantly decreased. In the analyses of latent growth models, the mediating effects of learning strategies were overall supported. That is, both of initial status and change rate of rehearsal strategy partially mediated the relation of mathematics self-efficacy and mathematics achievement. However, in elaboration and meta-cognitive strategies, only the initial status of each variable showed the indirect relationship.

• School Mathematics
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• v.13 no.4
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• pp.563-580
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• 2011

This study is centered on the application of metaphor theory to math education from the cognitive-linguistic view. This study, at first, introduced what metaphor is, and looked into it from the math-educational view. Furthermore, on the basis of that, this study examined the significance of metaphor to math education, and dealt with its relevance to math education, focusing on the functions that metaphor has. This study says that metaphor has the function of explanation, elaboration and representation. In addition, this study examplifies that using metaphor can be an effective math learning strategy for mathematical concept explanation, mathematical connection and mathematical representation learning.

• Korean Journal of Child Studies
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• v.30 no.4
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• pp.87-97
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• 2009

This study used Hierarchical Linear Modeling analysis to investigate the effects of individual self-regulated cognitive strategies and public education on middle school students' academic achievement. Participants were 6389 (boys 3287, girls 3102) middle school students from the 2005 data of the Korea Education Longitudinal Study. Results were as follows : (1) there were significant differences among different schools in middle school students' academic achievement, i.e. 20% of variance in English achievement and 15% of variance in mathematics achievement were explained by school differences. (2) Students' elaboration and meta-cognitive strategy influenced academic achievement positively. (3) Predictor variables by ability grouping, supplementary class, and/or self-learning class had no significant effects on students' academic achievement.