• ETRI Journal
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• v.45 no.1
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• pp.105-118
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• 2023

We tested the feasibility of automated discrimination of patients with panic disorder (PD) from healthy controls (HCs) based on multimodal physiological responses using machine learning. Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and peripheral temperature (PT) of the participants were measured during three experimental phases: rest, stress, and recovery. Eleven physiological features were extracted from each phase and used as input data. Logistic regression (LoR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) algorithms were implemented with nested cross-validation. Linear regression analysis showed that ECG and PT features obtained in the stress and recovery phases were significant predictors of PD. We achieved the highest accuracy (75.61%) with MLP using all 33 features. With the exception of MLP, applying the significant predictors led to a higher accuracy than using 24 ECG features. These results suggest that combining multimodal physiological signals measured during various states of autonomic arousal has the potential to differentiate patients with PD from HCs.

• Communications of Mathematical Education
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• v.38 no.2
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• pp.187-213
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• 2024

This study aims to investigate the impact of mathematical journal writing activities on sixth-grade students' mathematics anxiety and the 'writing' aspect of mathematical communication. For this purpose, 27 sixth-grade students participated in 14 sessions of mathematical journal writing activities while learning division with fractions and decimals. Mathematics anxiety was measured using a questionnaire, with pre- and post-test results statistically analyzed. Mathematical communication in the 'writing' domain was quantitatively measured using an analytical framework to track changes in levels. Additionally, 13 students were interviewed to examine the impact of journal writing on mathematics anxiety and mathematical communication in more detail. The study found that among the four main factors of mathematics anxiety, there was a significant reduction in the subject-specific and environmental factors. The average levels of 'expression' and 'explanation' in the 'writing' domain of mathematical communication gradually increased, with specific teacher feedback supporting improvements in students' communication levels. Based on these findings, the study suggests implications for the use and guidance of mathematical journal writing activities in school settings.

• Journal of Korean Society of Forest Science
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• v.104 no.1
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• pp.127-132
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• 2015

Aim of this study was to investigate the influence of forest experience program on depression, anxiety, and self concept in adolescents living in urban area. A total of 47 adolescents living in Seoul, South Korea were recruited for the study and participated in a series of forest experience programs that the Korea National Park Service had developed. Before and after applying the program, their depression, anxiety, and self concept were evaluated using Children's Depression Inventory (CDI), Revised Child Manifest Anxiety Scale (RCMAS), and Offer Self Image Questionnaire-Revised (OSIQ). The outcome measures were analyzed using paired-t tests. CDI score was significantly reduced after the program (before:$12.41{\pm}8.34$, after:$8.65{\pm}9.48$). Excluding 16 participants whose scores of Lie Scale in the RCMAS were more than 8 on the analysis, the total RCMAS score showed significant reduction after the program (before:$14.87{\pm}7.30$, after:$10.81{\pm}7.81$). There was no significant difference in the total score of the total self-image scale in the OSIQ. However, the Self-confidence (SC) which was used as subscale of the OSIQ was significantly higher after the program (before:$29.94{\pm}3.71$, after:$38.11{\pm}6.45$), and the Idealism scale (I) in the OSIQ increased significantly after the program (before:$21.03{\pm}3.80$, after:$23.17{\pm}3.89$). On our analysis, the forest experience program showed considerable positive effects on depression and anxiety in adolescents. This result leads the postulation that the program might be helpful for adolescents to adapt to their surrounding experiences and to achieve improvement in interpersonal relationship.

• School Mathematics
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• v.2 no.2
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• pp.489-508
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• 2000

With the increased use of computational technology, many educators question about spending large amount of class time for dealing with computational algorithms in elementary school math classroom at the expense of more holistic aspects of mathematics such as number sense, spatial sense, problem solving and data management. This paper introduce the new method for learning addition and subtraction so called ‘Mrs. Weill’s Hill’, which is believed as a suitable remedial method for children with mathematical learning disabilities, with perceptual problems, or with limited working memory capacities. This method provides children with external memory strategies by allowing them to solve the addition and subtraction problems in a stage by stage fashion with as many steps as they require. It also gives the child greater flexibility in the solution process and thus helps reduce anxiety.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2006.04a
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• pp.133-148
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• 2006

Although gifted students are well ready in the perspective of intelligence, in order to make their Beaming highly effective, it is necessary to revitalize their intellectual abilities and progress it into proactive learning behaviour. It is requisite to stress on the affective variables for achieving this. This study examined and analyzed affective variables for the subject mathematics on self-concept toward mathematics, attitude, interest, mathematical anxiety, and learning habits.

• Journal of Engineering Education Research
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• v.8 no.2
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• pp.24-34
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• 2005

The purpose of this study was to investigate 1) learner's satisfaction and perception on PBL 2) the relationship between learning styles and PBL preferences 3) the effects of decreasing communication apprehension through PBL. The results were as follows: 1) the students were satisfied with PBL and perceived positively on PBL 2) the students with high participative or cooperative learning styles were satisfied with PBL and perceived more positively on PBL, but those who had avoidant or dependent learning styles didn't perceive positively on PBL 3) the degree of communication apprehension in meeting was decreased significantly. We expect this research to be foundation in instructional design of PBL with individual differences

• Journal of the Korean School Mathematics Society
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• v.17 no.4
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• pp.565-587
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• 2014

Self-Regulated Learning Strategy is a kind of learning strategy that learners could choose and apply metacognitive, cognitive, motivational, and behavioral strategy autonomically and could take an active part in the classes. The purpose of the study was to identify aspects of self-regulated learning strategy with mathematical journal writing. Mathematical journal was composed of 13 questions and each of factor had 1~2 questions. The results of the study have revealed that metacognitive strategies were identified as setting up learning goals, seeking problem solving strategies, reflective thinking and providing examples. Cognitive strategy was identified as understanding the structure among ideas, sequential ranking and key ideas. Motivational strategy was identified as satisfaction and anxiety for studies, confidence and frustration for next studies. There are implications for mathematics education that self-regulated learning strategy can be improved with mathematical journal writing and help students to study mathematics efficiently and successfully.

• Journal of the Korean Chemical Society
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• v.45 no.1
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• pp.76-82
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• 2001

In this study, the effects of grouping method (homogeneous/ heterogeneous) considering students' teamwork skills on their conceptual understanding, perceptions of science learning environments, communication anxiety, communication ability, and perceptions toward small group discussions were compared. Students were taught concerning changes of states, density, and dissolution for 9 class periods. The ANCOVA results indicated that there was no significant difference in the conceptions test scores. In the subcategory of 'students' negotiation' of the perceptions of science learning environments test, high teamwork skill students perceived more positively in the heterogeneous group, but low teamwork skill students in the homogeneous group. No significant differences were found in the communication anxiety. More students in the heterogeneous group perceived unequal participation as a disadvantage of the small group discussions than those in the homogeneous group.

• Journal of Oriental Neuropsychiatry
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• v.18 no.1
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• pp.1-14
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• 2007

Objective : The purpose of this study was to investigate the protective effects of Cheongsimondam-tang(COT) on the animal model of depression induced immobilization stress. Method 1) Male rats were used for this experiment. The subject were divided into 4 groups(1. normal 2. saline solution administered during immobilization stress treatment 3. COT of 100mg/kg administered 4. COT of 400mg/kg administered). 2) Immobilization stress was treated for 1 hours on day. During 2 days of immobilization stress treatment, they were executed forced swimming test, passive avoidance test, elevated plus maze test. Corticosterone in blood were measured Results 1) In EPM test, stress group showed significantly increased anxiety, COT groups showed significantly decreased anxiety. 2) In forced swimming test, COT groups did not show significantly decreased immobilization. 3) In passive avoidance test, stress group showed significantly decreased learning execution, COT groups showed significantly increased learning execution. 4) Stress group showed significantly increase in serum level of corticosterone, COT of 400mg/kg group showed significantly decreased serum level of corticosterone. Conclusion : These results suggest that Cheongsimondam-tang(COT) is effective in the treatment of depression.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.61-72
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• 2020

The fear of crime, discussed in the early 1960s in the United States, is a psychological response, such as anxiety or concern about crime, the potential victim of a crime. These anxiety factors lead to the burden of the individual in securing the psychological stability and indirect costs of the crime against the society. Fear of crime is not a good thing, and it is a part that needs to be adjusted so that it cannot be exaggerated and distorted by the policy together with the crime coping and resolution. This is because fear of crime has as much harm as damage caused by criminal act. Eric Pawson has argued that the popular impression of violent crime is not formed because of media reports, but by official statistics. Therefore, the police should watch and analyze news related to fear of crime to reduce the social cost of fear of crime and prepare a preemptive response policy before the people have 'fear of crime'. In this paper, we propose a deep - based news classification system that helps police cope with crimes related to crimes reported in the media efficiently and quickly and precisely. The goal is to establish a system that can quickly identify changes in security issues that are rapidly increasing by categorizing news related to crime among news articles. To construct the system, crime data was learned so that news could be classified according to the type of crime. Deep learning was applied by using Google tensor flow. In the future, it is necessary to continue research on the importance of keyword according to early detection of issues that are rapidly increasing by crime type and the power of the press, and it is also necessary to constantly supplement crime related corpus.