• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.1
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• pp.1-9
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• 2023

Patients with neurocognitive disorder show behavioral psychological symptoms such as agitation, aggression, depression, and wandering, as well as cognitive decline, which puts a considerable burden on patients and their families. For the treatment of behavioral psychological symptoms, patient-centered, non-pharmacological treatment should be used as a first line approach. This paper describes non-pharmacological interventions to manage and treat behavioral psychological symptoms in patients with neurocognitive disorder. In order to control behavioral psychological symptoms such as agitation, depression, apathy, insomnia, and wandering, it is important to identify and evaluate factors such as environmental changes and drugs, and then solve such problems. Non-pharmacological interventions include reassurance, encourage, distraction, and environmental change. It is necessary to understand behavior from a patient's point of view and to approach the patient's needs and abilities appropriately. Reminiscence therapy, music therapy, aroma therapy, multisensory stimulation therapy, exercise therapy, light therapy, massage therapy, cognitive intervention therapy, and pet therapy are used as non-pharmacological interventions, and these approaches are known to improve symptoms such as depression, apathy, agitation, aggression, anxiety, wandering, and insomnia. However, the quality of the evidence base for non-pharmacological approaches is generally lower than for pharmacological treatments. Therefore, more extensive and accurate effectiveness verification studies are needed in the future.

• 한국노년학
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• v.29 no.3
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• pp.851-865
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• 2009

The purpose of this study is to explore Women University students' supporting awareness, knowledge and attitude toward the elderly. After obtaining the participants' consent form, survey was performed with structured questionnaire about characteristics, supporting awareness, knowledge and attitude toward the elderly. Collected data were analyzed with SPSS 13.0 program, which was used for frequency, percentage, mean, standard deviation, t-test, ANOVA and Pearson correlation coefficients. The result of this study were as follows. 1) Supporting awareness of participants was 115.50±13.19. Participants' knowledge was 10.21±2.90 and attitude was 84.19±12.19. 2) More knowledge and more positive attitude toward elderly were significant related to higher supporting awareness. 3) Supporting awareness of participants was significantly different by religion, monthly pocket money, religious service, supporting parents in the future, living with parents-in-law, though of ideal support system, father-grandmother(paternal) relationship, mother-grandfather(paternal) relationship, mother-grandmother(paternal) relationship and mother-grandfather(maternal). The finding of this study gives useful information for developing an educational management program for women.

• 한국노년학
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• v.39 no.4
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• pp.941-958
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• 2019

The purpose of this study was to explore change trajectories patterns of Self-Rated Health in middle aged, to identify socioeconomic factors, self-esteem, family relationship factors, and to identify relevant predictors. For this purpose, the 2,418 middle aged, who married couples were extracted from the 2^nd to 12^st waves of Korea Welfare Panel Survey data. The data analysis included Latent Class Growth Analysis, multiple logistic regression. The change trajectories patterns of self-rated health in middle aged were classified into four types: (1) high state-retained type(46.3%), (2) low state-retained type(19.6%), (3) reduced type(17.5%), (4) increasing type(16.6%). Despite the control of chronic diseases that are closely related to health, when the low state-retained type, which is a crisis group, was set as the reference group for the self-rated health, the economic participation, self-esteem and satisfaction of the family relationship had a more inadequate effect than the high state-retained type. Likewise, when the reduced type, which is a crisis group, was set as the reference group for the self-rated health, the economic participation, self-esteem, satisfaction of the family relationship, and family stress had a more effect than the increasing type. Based on the analysis results, this study suggest political and practical intervention to maintain the proper health, and the details are as follows.

• Korean Journal of Social Welfare Studies
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• v.41 no.4
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• pp.313-343
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• 2010

The aim of this study is to examine the factors influencing network centrality on women's welfare organizations, and to investigate how the level of network centrality influence the effectiveness of the organization. To achieve this goal, this study conducted a survey on women's welfare organizations in Seoul from March to June, 2009. Network analysis method was used to get each organization's network centrality value. Also, through the Structural Equation Modelling, organizational characteristics predicting network centrality and effect of network centrality on organizational effectiveness. The main results are as follows. First, the significant affecting factors were different between three types of centralities with regards to the type of organization, recognition of resource dependency, attitude of top manager, and established year. Second, the common factors affecting three network centralities were the number of informal ties, accepting feminism as the main organizational philosophy, and the number of qualified staffs. Third, only closeness centrality positively predicted the level of organizational effectiveness among three types of centralities. The faster the organization reaches to other organizations in a network, the organizational effectiveness becomes higher, which means high closeness centrality is more important factor than high degree centrality or high betweenness centrality to increase organizational effectiveness. This result shows social welfare organization should consider changing inter-organizational network strategy from quantity-focused to quality-focused.

• Asia Marketing Journal
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• v.9 no.3
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• pp.117-149
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• 2007

It can be explained by congruity theory as a process that consumers engage in a matching process to identify personal community that is congruent with their self-images to find the identification between the self and the personal community. Personal community cues that evoke certain images are viewed as activating similar beliefs about the self (e.g., high status). Individuals prompt a comparison process to determine whether the personal community and self-image are congruent and imagine prototypical users of the personal community and select ones that maximize similarity to their actual or desired self-concept. Identity is devided into personal identity and social identity. Consumers are likely to be influenced by both personal identity and social identity. In this article the influencing factors of the commitment to on-line personal community are explored by the sources of both personal identification and social identification. The results are as follows. The maintenance expression and enhancement expression of personal self influence the level of personal identification positively and the maintenance expression and enhancement expression of social self influence the level of social identification positively. The level of both social and personal identification positively influence the commitment to on-line personal community which gives positive responses to the source enterprise that allows the cyberspace and the other benefits to be used.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.53-65
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• 2023

Objective : This study aimed to identify the experiences and practices of occupational therapists in mental health and provide interventions for improving body function in individuals with mental illness. Methods : Data were collected from mental health therapists between November 7 and November 14, 2022. A survey was distributed via email and 46 responses were analyzed using descriptive statistics and correlations. Results : The majority were female (58.7%), aged 20-30 years (84.8%), working in mental health centers (41.3%), and undergoing mental health occupational therapy training (91.3%). They had 1-3 years of mental health experience (65.2%) and were commonly involved in programs (71.1%), case management (62.2%), and administration (57.8%). Interventions for physical functioning were common (73.9%), including group interventions (41.2%), such as stretching, aerobic exercise, and walk training, and individual interventions (38.1%), such as walking, stretching, and aerobic exercise. Conclusion : Occupational therapists play a crucial role in enabling individuals with mental illness to engage in daily life activities. However, relevant studies in this field are lacking. This study emphasizes the importance of mental health occupational therapy and the need for evidence-based services for physical function improvement interventions to provide more effective treatments for mental illnesses.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.269-273
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• 2023

After participating in the Second Boer War in 1899, the Australian Army participated in world wars such as World War I, World War II, the Korean War, and the Vietnam War. To overcome the decline in the social recognition of soldiers and the continuous shortage of troops caused by the protracted war, the status and role of female personnel were expanded. The use of female manpower, which started as medical support during the Second Boer War, expanded to combat support missions such as communications, maintenance, driving, secret document management, and radar surveillance during World War II. After the Vietnam War, the Chiefs of Staff of the Australian Army, Navy and Air Force established a committee to expand women's participation in the military, improved service conditions for female personnel and supplemented regulations so that they were treated as soldiers, not women, and reached a turning point in expanding the role of female personnel in the Australian military. As a result, all combat positions, including special forces, were opened to women in 2014, and a plan was established to increase the proportion of women in each service by 2030. As a result, all combat positions, including special forces, were opened to women in 2014, and the Australian Armed Forces set a plan to increase the proportion of women by 2030. Like the Australian military, South Korea is also experiencing a demographic cliff and shortage of troops due to the continuing low birthrate problem. Through the history and current state of the use of female personnel in the Australian military, we would like to draw implications for the direction our military should go.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

• Journal of the Korea Institute of Building Construction
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• v.23 no.5
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• pp.651-662
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• 2023

Recently, research on the use of Building Information Modeling(BIM) for various construction management activities is being actively conducted, and interest in 3D model-based estimation is increasing because it has the advantage of being able to be automatically performed using the attribute information of the 3D model. Therefore, this study aimed that the difference in the quantities is calculated the quantity based on the 2D drawing of a building and is extracted from the 3D model created by the Revit software was compared and tried to find out the cause. The difference in the quantity calculated by the two methods was the largest in the formwork, followed by the smallest in the order of the quantity of rebar and concrete. The reason for this difference is that there is a part where the quantity extraction in the 3D model is not suitable for the quantity calculation standard, and in particular, in the case of formwork, it was difficult to separate only the quantity of the necessary part. In addition, since the quantity of rebar was not separated by member, it was impossible to accurately compare the quantity and identify the cause of the difference. Therefore, it is considered to be the most reasonable to use application software that imports only the numerical information necessary for quantity calculation from the 3D model and applies a separate calculation formula.