• 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.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.323-331
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• 2012

Purpose: Level of meta-cognition of students has been regarded as one of the crucial factors on web-based learning. This study aimed to describe interaction type in small group discussion of the nursing graduate students and to investigate learning consequences and interaction types in group discussion on meta-cognition level. Method: Twenty six graduate nursing students attending the class on-line at the K university in Seoul were included in the study. We measured their meta-cognition level and learning attitude. We also scored their individual and group reports as well as analyzed interaction type by reviewing the dialogue of the group discussion. Results: The participants showed low frequency of exploratory interaction and high frequency of integrative interaction in the cognitive interaction category. They showed frequent modification interaction in the meta-cognitive interaction category. Interestingly, the students with lower level of meta-cognition achieved significantly greater scores in the individual assignments. High functioning group consisting of the students with high meta-cognitive level produced greater group report. Conclusion: A new strategy is needed to encourage in-depth interaction in a group discussion of nursing students. Meta-cognitive level of the students should be considered to form a small group for discussion in order to improve group activities.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.125-133
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• 2017

Recently, as the programming education has become essential in school, discussion of how to teach programming has been important. This study performed a meta-analysis of the effect size depending on the teaching and learning method for the programming education. 78 research data selected from 45 papers were analyzed from cognitive and affective aspects according to dependent variables. The analysis from the cognitive aspect showed that there was no statistically significant difference in the effect size depending on whether or not the teaching and learning method was specified in the research paper. Meta-analysis of the research data where the teaching and learning method was designated displayed significances in CPS, PBL and Storytelling. Unlike the cognitive aspect, the analysis from the affective aspect showed that the effect size of the research data without the specified teaching and learning method was larger than those with specified teaching and learning method with a statistical significance. Meta-analysis of the data according to the teaching and learning method displayed no statistical significance. Based upon these research results, this study suggested implications for the effective programming education.

• Journal of the Korean Society of Radiology
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• v.13 no.3
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• pp.407-414
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• 2019

Recently, after the reorganization as the basis of NCS education, various learning methods are being sought for improving the basic occupational ability and job ability required by NCS, and the evaluation method accordingly is urgently needed. The purpose of this study was to evaluate the applicability of meta-cognitive learning and Havruta learning as evaluation cases in order to improve the job skills and basic skills required in the NCS curriculum. As a result, the meta-cognitive learning response sample statistic showed an average of 2.6883 when the pre-meta-cognitive learning questionnaire was a 5-point scale, and an average of 4.2468 after the meta-cognitive learning questionnaire. The correlation coefficient was 0.782 and the significance probability was 0.045. In the case of the Havruta learning correspondence sample statistic, the average of 3.1515 when the preliminary Havruta learning questionnaire was a 5 point scale and the average of the post-Havruta learning questionnaire was 4.3853, which was improved by 1.23 points. The correlation coefficient was 0.631 and the significance probability was 0.049. Meta-cognitive learning and Havruta learning were found to be correlated. The mean of meta cognition was 3.4675 and the mean of Havruta was 3.7684. Metacognitive learning and Havruta learning were -0.042 And there was no statistically significant difference. Therefore, the learning method to improve the job ability should be applied considering the characteristics of the subject.

• Journal of Korean society of Dental Hygiene
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• v.14 no.5
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• pp.667-672
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• 2014

Objectives : The purpose of this study was to examine classifying the level and accuracy of the meta-cognitive level of students and dental hygiene, and to understand the impact on the process of problem solving and accordingly, it is intended to provide a basis for learning strategies. Methods : A self-reported questionnaire was filled out by 328 dental hygiene students in 3 colleges in Gyeonggi-do and Chungnam. Data were analyzed by the frequency analysis, one-way ANOVA, Scheffe's post-hoc test, Pearson's correlation coefficient using SPSS 12.0. Results : Meta-cognitive level of the subject was on average 4.43 points and problem solving level was lower at 2.82 points. Showed a significant difference in satisfaction with the major motives meta-cognitive level in accordance with the general characteristics of the subjects(p<0.05). Results of this study showed that no statistically significant differences in both the sub-areas of the level of problem solving according to the general characteristics of the subject(p>0.05). There was no correlation between the ability to solve problems and meta-cognitive level of the subjects(p>0.05). Conclusions : The finding of the study showed that meta-perception of dental hygiene students are lower the level of problem-solving that is compared to meta-cognition. It is suggested that development of a variety of learning methods for improving meta-cognitive thinking and problem-solving skills required in dental hygiene school curriculum.

• The Mathematical Education
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• v.58 no.4
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• pp.519-530
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• 2019

According to previous studies, meta-affect based on the interaction between cognitive and affective elements in mathematics learning activities maintains a close mechanical relationship with the learner's mathematical ability in a similar way to meta-cognition. In this study, in order to grasp these characteristics phenomenologically, small group problem-solving cases of 5th grade elementary mathematically gifted children were analyzed from a meta-affective perspective. As a result, the two types of problem-solving cases of mathematically gifted children were relatively frequent in the types of meta-affect in which cognitive element related to the cognitive characteristics of mathematically gifted children appeared first. Meta-affects were actively acted as the meta-function of evaluation and attitude types. In the case of successful problem-solving, it was largely biased by the meta-function of evaluation type. In the case of unsuccessful problem-solving, it was largely biased by the meta-function of the monitoring type. It could be seen that the cognitive and affective characteristics of mathematically gifted children appear in problem solving activities through meta-affective activities. In particular, it was found that the affective competence of the problem solver acted on problem-solving activities by meta-affect in the form of emotion or attitude. The meta-affecive characteristics of mathematically gifted children and their working principles will provide implications in terms of emotions and attitudes related to mathematics learning.

• The Mathematical Education
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• v.55 no.3
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• pp.357-382
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• 2016

The purpose of this study was to report the effects of self-directed and self-regulated learning programs on elementary, middle, and high school students through meta-analysis of previous studies. For this research, 22 of previous studies were selected which were all conducted in the country, and calculated the effect size of 'standardized change of the mean difference' for many factors included in each research. The findings were as follows: first, the overall effect sizes of self-directed and self-regulated learning programs on elementary, middle, and high school students were .665 and .702 in the affective and cognitive domain, respectively, meaning that the self-directed and self-regulated learning programs had average or greater effects on elementary, middle, and high school students and exerted somewhat greater effects in the cognitive domain. Second, when the areas of moderating effects were divided into self-directed and self-regulated learning, the former and latter had more influences on the cognitive and affective domains, respectively. Third, the elementary school level recorded a larger effect size both in the affective and cognitive domains than the secondary school level. Fourth, the findings show that the characteristics of affective domain, "reflective thinking" and "self-confidence," recorded a very large effect size both at the elementary and secondary school levels. Finally, the programs were more effective when the application period was one to four weeks in the affective domain and more than four weeks in the cognitive domain. And, Significance and implications of this research were discussed.

• Educational Technology International
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• v.10 no.1
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• pp.1-23
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• 2009

Learners are often posited in a paradoxical situation where they are not fully involved in decision making processes on how to learn, in designing their tools. Cognitive artifacts in e-learning are supposed to effectively support learner-centered e-learning. The purpose of the study is to analyze cases of cognitive artifacts and to inquire those design principles for facilitating the learner-centered e-learning. Four research questions are suggested: First, it will be analyzed the characteristics of learners with respect to design of cognitive artifacts for supporting the learner-centered e-learning. Second, characteristics of four cases to design cognitive artifacts in learner-centered e-learning environment are analyzed. Third, it will be suggested the appropriate design principles of cognitive artifacts to facilitating learner-centered learning in e-learning environment. Four cases of cognitive artifacts design in learner-centered e-learning was identified as follows: Wiki software as cognitive artifacts in computer-supported collaborative learning; 'Play Around Network (PAN)' as cognitive artifact to monitor learning activities in knowledge community; Knowledge Forum System (KFS) as a cognitive artifact in knowledge building; cognitive artifacts in Courses-as-seeds applied meta-design. Five design principles are concluded as follows: Promoting externalization of cognitive artifacts to private media; Helping learners to initiate their learning processes; Encouraging learners to make connections with other learners' knowledge building and their cognitive artifacts; Promoting monitoring of participants' contributions in collaborative knowledge building; Supporting learners to design their cognitive artifacts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1755-1777
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• 2022

The development of wireless communication technology has led to the underutilization of radio spectra. To address this limitation, an intelligent cognitive radio network was developed. Specific emitter identification (SEI) is a key technology in this network. However, in realistic non-cooperative scenarios, the system may detect signal classes beyond those in the training database, and only a few labeled signal samples are available for network training, both of which deteriorate identification performance. To overcome these challenges, a meta-learning-based open-set identification system is proposed for SEI. First, the received signals were pre-processed using bi-spectral analysis and a Radon transform to obtain signal representation vectors, which were then fed into an open-set SEI network. This network consisted of a deep feature extractor and an intrinsic feature memorizer that can detect signals of unknown classes and classify signals of different known classes. The training loss functions and the procedures of the open-set SEI network were then designed for parameter optimization. Considering the few-shot problems of open-set SEI, meta-training loss functions and meta-training procedures that require only a few labeled signal samples were further developed for open-set SEI network training. The experimental results demonstrate that this approach outperforms other state-of-the-art SEI methods in open-set scenarios. In addition, excellent open-set SEI performance was achieved using at least 50 training signal samples, and effective operation in low signal-to-noise ratio (SNR) environments was demonstrated.

• International Journal of Contents
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• v.16 no.3
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• pp.18-32
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• 2020

The aim of this study was to perform a meta-analysis of the learning outcomes of immersive learning technologies in English language teaching (ELT). This study examined 12 articles, yielding a total of 20 effect sizes. The Comprehensive Meta-Analysis (CMA) program was employed for data analysis. The findings revealed that the overall effect size was 0.84, implying a large effect size. Additionally, the mean effect sizes of the dependent variables revealed a large effect size for both the cognitive and affective domains. Furthermore, the study analyzed the impact of moderator variables such as sample scale, technology type, tool type, work type, program type, duration (sessions), the degree of immersion, instructional technique, and augmented reality (AR) type. Among the moderators, the degree of immersion was found to be statistically significant. In conclusion, the study results suggested that immersive learning technologies had a positive impact on learning in ELT.