This study compared the difference of learning style, self-regulated learning, learning flow, analyzed the learning style impact on self-regulated learning and learning flow between gifted and normal student. The subjects of this study were 118 sixth grade gifted students and 124 general students who showed academic achievement of the same level. According to the results of this study, gifted elementary children had more than the general independent, competitive, participatory learning style and they used personal, behavioral and environmental self-regulation strategies more often. Also they had a higher degree of learning flow than the general. Both gifted and general students, the more independent and participatory learning style, the more increased self-regulated learning and learning flow. And the more used self-regulated learning, the more increased learning flow. The learning flow of the gifted children was higher the more independent, the more participatory, the more used behavioral and personal self-regulated learning strategies. The learning flow of the general elementary children was higher the more participatory, the more used environmental and personal self-regulated learning strategies.
This study aims to investigate the differences between gifted students and general students in elementary school by comparing their attribution tendency and self-regulated learning strategy and verify the attribution tendency and self-regulated learning strategy of gifted students in elementary school. The subjects of this study were 105 gifted students in the fifth and sixth grades from the gifted education center and 105 general students in the fifth and sixth grades. The study findings were as follows: First, The gifted students showed a higher score on the success attribution while the general students showed a higher score on the failure attribution Second, the gifted students showed a higher score on all over the self-regulated learning strategy with its subordinate factors. Third, the gifted students in humanity showed a higher score on the control factor of cognitive strategy, the gifted students in mathematics on the action control factor of motive strategy and the gifted students in science on the other subordinate factors and all over the self-regulated learning strategy. Fourth, the boys showed a higher score on the factor of action control while the girls on all the other subordinate factors and all over the self-regulated learning strategy.
This study investigated the relationships of the self-regulated learning strategies used in both science and English classes and motivation to academic performance of science-gifted high school students. Participants of this study were 144 freshmen of Korea Science Academy It was found out that the use of self-regulation learning strategies and motivation exerts differential influence on the academic performance of science-gifted students, depending on the subjects they study. Results showed that they used more vigorously in science class those self-regulated strategies which consist of cognition, metacognition, and resource management strategies than in English class. In addition, their motivation level in science class was significantly higher than that in English class. Self-regulated strategies did not explain any variance in physics GPA. Task value among the motivation variables accounted for 2 percent of variance in physics GPA. Metacognition and time and study environment variables explained 8 percent and 15 percent of variance in English GPA, respectively. Self-efficacy in motivation accounted for 30 percent of variance in English GPA, These results were discussed in the light of instruction for science-gifted high students.
The purpose of the study was to investigate which psychological factors influence on the gifted students' achievement. As a psychological factor, self-determination, learning goal-orientation, self-efficacy, belief of intelligence, and self-regulated learning strategy were examined. The difference in psychological factors between the gifted with high achievement and the gifted with low achievement was to explored. For the study 128 gifted students' data from second-year data of Korean Education Longitudinal Study (KELS) were selected and analyzed. The findings indicate that the predictors of gifted students' achievement are extrinsic regulation, identified regulation, mastery-approach goal, self-efficacy, elaboration, and meta-cognition factor. Especially, the factor of elaboration and identified regulation are the strongest predictors. The findings from t-test analysis indicate that the gifted with low achievement show the low level in self-determination, mastery-approach, self-efficacy, elaboration, meta-cognition, place management and seeking social assistance from teacher. Therefore the developing elaboration, one of regulation learning strategy, is essential to improve the achievement of the gifted students with low scores.
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.
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.
Park, Mijin;Seo, Hae-Ae;Kim, Donghwa;Kim, Jina;Nam, Jeonghee;Lee, Sangwon;Kim, Sujin
Journal of Gifted/Talented Education
/
v.23
no.5
/
pp.697-713
/
2013
The research aimed to investigate characteristics of middle school students enrolled in a science gifted education center affiliated with university in terms of multiple intelligence, self-regulated learning and personality traits. The 89 subjects in the study responded to questionnaires of multiple intelligence, self-regulated learning ability and a personality trait in October, 2011. It was found that both science and math gifted students presented intrapersonal intelligence as strength and logical-mathematical intelligence as weakness. While physics and earth science gifted ones showed spatial intelligence as strength, chemistry and biology gifted ones did intrapersonal intelligence. For self-regulated learning ability, both science and mathematics gifted students tend to show higher levels than general students, in particular, cognitive and motivation strategies comparatively higher than meta-cognition and environment condition strategies. Characteristics of personal traits widely distributed across science and mathematics gifted students, showing that each gifted student presented distinct characteristics individually. Those gifted students showing certain intelligence such as spatial, intrapersonal, or natural intelligences as strength also showed different characteristics of self-regulated learning ability and personal traits among students showing same intelligence as strength. It was concluded that science and mathematics gifted students showed various characteristics of multiple intelligences, self-regulated learning ability, and personal traits across science and mathematics areas.
This study examined the effects of students'perceptions of classroom on self-regulatory strategy use, persistent intention, and achievement in an online Science gifted program. The sample included 434 middle and high school students who participated in the 3-months online gifted program. Participants volunteerly surveyed on their perceptions of classroom (appeal, challenge, choice, meaningfulness, academic self-efficacy), self-regulatory strategy use, and persistent intention. Student achievement data was collected from online learning system. Multiple Regression was conducted to analyze the effect of students'perceptions of classroom on various dependent variables. The results of this study showed that (1) students use of rehearsal strategy was positively related to academic self-efficacy among the sub-variables of students'perceptions of classroom and the use of rehearsal strategy was negatively related to challenge; (2) the use of elaboration strategy was positively related to challenge and meaningfulness; (3) the use of time management strategy was positively related to academic self-efficacy and the use of resource management strategy was positively related to challenge; and (4) students' persistent intention was related to appeal, challenge and meaningfulness, achievement was related to challenge.
The purpose of this study was to explore a more useful identification method by comparing diverse selection approaches for the gifted education programs at the each elementary school. Diverse selection methods examined in the study include 'written examinations', 'mixed evaluation', 'achievement test scores', and 'self-recommendation'. For the study, each identification group's gifted students' characteristics, such as intelligence, creativity, motivation and self-regulated learning strategies, were compared. The subjects of the study were a total of 594 gifted and normal students. The results of this study were as follows: First, there were no statistically significant differences between students in each gifted education class and gifted students who belong to the regional gifted education programs which are considered higher level of gifted education programs. While, there were statistically significant differences between two groups of gifted students and general students in all aspects examined, such as intelligence, creativity, motivation and learning strategies. In addition and most importantly, diverse identification method utilized in each school showed differences in gifted students' characteristics. Especially, students who were selected through the self-recommendation showed significantly lower intelligence, creativity, motivation and learning strategies. The implications of the study related to the identification and education for the gifted at each elementary school were discussed in depth.
The research aimed to investigate characteristics of middle school students in a biology class as science gifted education in terms of self-regulated learning abilities, personality traits and learning preferences. The twenty subject in the study responded to questionnaires of a self-regulated learning ability instrument, a personality trait tool, and a learning preference survey in March, 2009. It was found that the research subjects showed higher levels of cognitive strategies, meta-cognition, and motivation than those students in a previous study(Jung et. al., 2004), while environment was opposite. The level of cognitive strategies was significantly correlated with meta-cognition(r=.610, p=.004) and motivation (r=.538, p=.014) and meta-cognition with environment(r=.717, p=.000). Those students who showed highest levels of self-regulated learning ability displayed various personality traits. One male student with the highest level of self-regulated learning ability showed a personality of hardworking, tender-minded, and conscientious traits and wanted to be a medical doctor. The female student with the second highest level of self-regulated learning ability presented a personality as creative, abstract and divergent thinker and she showed a strong aspiration to be a world-famous biologist with breakthrough contribution. The five students with highest levels of self-regulated learning ability showed a common preference in science learning: they dislike memory-oriented and theory-centered lecture with note-taking from teacher's writings on chalkboard; they prefer science learning with inquiry-oriented laboratory work, discussion among students as well as teachers. However, reasons to prefer discussion were diverse as one student wants to listen other students' opinions while the other student want to present his opinion to other students. The most favorable science teachers appeared to be who ask questions frequently, increase student interests, behave friendly with students, and is a active person. In conclusion, science teaching for the gifted should employ individualized teaching strategies appropriate for individual personality and preferred learning styles as well as meeting with individual interests in science themes.
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