• Research in Mathematical Education
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• v.13 no.1
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• pp.31-48
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• 2009

Utilizing the path analysis method, the study explores the relationships among the influential factors in mathematics modeling academic achievement. The following conclusions are drawn: 1. Achievement motivation, creative inclination, cognitive style, the mathematical cognitive structure and mathematics modeling self-monitoring ability, those have significant correlation with mathematics modeling academic achievement; 2. Mathematical cognitive structure and mathematics modeling self-monitoring ability have significant and regressive effect on mathematics modeling academic achievement, and two factors can explain 55.8% variations of mathematics modeling academic achievement; 3. Achievement motivation, creative inclination, cognitive style, mathematical cognitive structure have significant and regressive effect on mathematics modeling self-monitoring ability, and four factors can explain 70.1% variations of mathematics modeling self-monitoring ability; 4. Achievement motivation, creative inclination, and cognitive style have significant and regressive effect on mathematical cognitive structure, and three factors can explain 40.9% variations of mathematical cognitive structure.

• Journal of the Korean Home Economics Association
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• v.39 no.10
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• pp.153-168
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• 2001

The objects of this study were to find out the effects of peer relations and perceived cognitive self-competence according to 1) grade, sex, and self-care, 2) parental social status and monitoring. 429 3rd- and 6th-graders (238 boys and 191 girls) were included as subjects. For measuring variables, RCP, Harter's Perceived Cognitive Self-Competence Rating Scale, and Parental Monitoring Questionnaire based on Crouter et al.(1990) were used. The data were analysed by MANOVA, t-test, and univariate ANOVA. The results were as follows.‘Social-Leadership’of peer relations was influenced by children's grade, grade $\times$ sex effects. 3-way interaction of children's variables and parental monitoring made significant differences in ‘Shy-Isolation’. Children's perceived cognitive self-competence was influenced by their grade and parent's social status. These results confirmed the significant roles of self-care and parental monitoring in children's development.

• Journal of The Korean Association For Science Education
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• v.24 no.6
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• pp.1173-1180
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• 2004

The purpose of this study was to investigate the effectiveness of cognitive monitoring skills of elementary students on science by the grade and sex. The subject of this study was 1001 elementary students of $2{\sim}6$ grade from 5 schools. The instrument of study, TSCM I (Test of Science Cognitive Monitoring I ) for $2{\sim}4$ grade and TSCM II for $4{\sim}6$ grade were developed. The results of this study showed that the effectiveness of cognitive monitoring skills was 63.4% for $2{\sim}4$ grade and 57.4% for $4{\sim}6$ grade. The effectiveness of cognitive monitoring skills of 3 and 4 graders was significantly higher than 2, while 5 and 6 was higher than 4 graders. Girls were higher than boys for 2 and 3 grade, but 4${\sim}$6 graders were not significantly different by the sex.

• Nuclear Engineering and Technology
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• v.52 no.1
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• pp.78-86
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• 2020

The operation and monitoring (OM) interface is the digital medium between nuclear power system and operators. The cognitive load of OM interface has an important effect on the operation errors made by operator during OM task between operator and computer. The cognitive load model of OM interface is constructed for analysing the composition and influencing factors of OM interface cognitive load. And to study the coping strategies and methods for cognitive load of nuclear power system. An experiment method based on eye movement is proposed to measure the cognitive load of OM interface. Experiment case is carried out with 20 subjects and typical OM interface of a nuclear power system simulator. The OM interface is optimized based on the experiment results. And the results comparison between the original OM interface and the optimized OM interface shows that the cognitive load model and proposed method is valuable contributions in reducing the cognitive load and improving the interaction efficiency of OM tasks.

• Korean Journal of Psychosomatic Medicine
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• v.4 no.1
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• pp.85-90
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• 1996

Cognitive-behavioral approach to two cases with chronic headache was presented. Cognitive-behavioral interventions focus on indirectly altering symptom-related physiological activity by changing the way patients cope with headache-eliciting stressors. This treatment focuses directly on the patients' cognitive and behavioral changes. Cognitive-behavioral treatment can be divided into three phases Education, self-monitoring, and problem-solving or coping-skills training. Literature reviews on the follow-up evaluation of therapeutic effectiveness revealed that cognitive-behavioral treatment is effective in the management of chronic headache.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.1
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• pp.64-71
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• 1995

Cognitive-behavioral approach can be clinically applied to coping with stress, because cognitions are playing a central mediating role in the occurances of stress and stress reactions. In other words, cognitive distortions can be associated with causing and/or maintaining psychopathology. The goal of cognitive-behavioral approach is to help the patients identify and alter cognitive distortions and maladaptive assumptions. This approach is aimed not at curing but rather at helping the patients to develop better coping strategies to deal with their life and work. The cognitive-behavioral techniques often used in this approach include problem solving, hypothesis-testing, self-monitoring, cognitive challenges, generating alternatives to automatic cognitive distortions, self-instruction, attribution and reattribution, and techniques to control or suppress thoughts. This approach is considered to be helpful for treatment and prevention of psychiatric disorders including psychosomatic disorders, in which stress can greatly affect their onset and course.

• 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.

• The Journal of Industrial Distribution & Business
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• v.9 no.8
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• pp.35-40
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• 2018

Purpose - The purpose of this study is to conduct a monitoring study on the learning process of e-learning contents. This study has two research objectives. First, by conducting monitoring research on the learning process, we aim to explore the implications for content development that reflects future student needs. Second, we want to collect empirical basic data on the estimation of appropriate amount of learning. Research design, data, and methodology - This study is a case study of learner's learning process in e-learning. After completion of the study, an in-depth interview was made after conducting a test to measure the total amount of cognitive load and the level of engagement that occurred during the learning process. The tool used to measure cognitive load is NASA-TLX, a subjective cognitive load measurement method. In the monitoring process, we observe external phenomena such as page movement and mouse movement path, and identify cognitive activities such as Think-Aloud technique. Results - In the total of three research subjects, the two courses showed excess learning time compared to the learning time, and one course showed less learning time than the learning time. This gives the following implications for content development. First, it is necessary to consider the importance of selecting the target and contents level according to the level of the subject. Second, it is necessary to design the learner participation activity that meets the learning goal level and to calculate the appropriate time accordingly. Third, it is necessary to design appropriate learning support strategy according to the learning task. This should be considered in designing lessons. Fourth, it is necessary to revitalize contents design centered on learning activities such as simulation. Conclusions - The implications of the examination system are as follows. First, it can be confirmed that there is difficulty in calculating the amount of learning centered on learning time and securing objective objectivity. Second, it can be seen that there are various variables affecting the actual learning time in addition to the content amount. Third, there is a need for reviewing the system of examination of learning amount centered on 'learning time'.

• Korean Journal of Child Studies
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• v.28 no.6
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• pp.169-182
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• 2007

Creative problem solving skills in mathematics were measured by fluency, flexibility, and originality; cognitive strategies were measured by rehearsal, elaboration, organization, planning, monitoring, and regulating. The Creative Problem Solving Test in Mathematics developed at the Korea Educational Development Institute(Kim et al., 1997) and the Motivated Strategies for Learning Questionnaire(Pintrich & DeGroot, 1990) were administered to 84 subjects in grade 5(45 girls, 39 boys). Data were analyzed by Pearson's correlation, multiple regression analysis, and canonical correlation analysis. Results indicated that positive regulating predicted total score and fluency, flexibility, and originality scores of creative problem solving skills. Elaboration, rehearsal, organization, regulating, monitoring, and planning positively contributed to the fluency and flexibility scores of creative problem solving skills.

• 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.