• Title/Summary/Keyword: 학생 수 예측

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Effect of the Suicide Prevention Program to the Impulsive Psychology of the Elementary School Student (자살예방 프로그램이 초등학교 충동심리에 미치는 영향)

  • Kang, Soo Jin;Kang, Ho Jung;Cho, Won Cheol;Lee, Tae Shik
    • Journal of Korean Society of Disaster and Security
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    • v.6 no.1
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    • pp.65-72
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    • 2013
  • In this study, the early suicide prevention program was applied to the elementary school students and compared the prior & post effect of the program, and verified the status of psychology change like emotional status, or temptation to take a suicide, and presented the possibility as a suicide prevention program. The period of adolescence is the very unstable period in the process of growth being cognitively immature, emotionally impulsive period. It is the period emotionally unstable and unpredictable possible to select the method of suicide as an extreme method to escape the reality, or impulsive problem solving against small conflict or dispute situation. Many stress of the student such as recent nuclear family, expectation of parents to their children, education problem, socio-environmental elements, individual psychological factor lead students to the extreme activity of suicide in recent days. In this study, the scope of stress experienced in the elementary school as well as idea and degree of temptation regarding suicide by the suicide prevention program were identified, and through prevention program such as meditation training, breath training and through experience of anger control, emotion-expression, self overcome and establish positive self-identity and make understanding Self-control, Self-esteem & preciousness of life based on which the effect to suicide prevention was analyzed. The study was made targeting 51 students of 2 classes of 6th grade of elementary school of Goyang-si and processed 30 minutes every morning focused on through experience & activity of the principle & method of brain science. The data was collected for 20 times before starting morning class by using Suicide Probability Scale(herein SPS-A) designed to predict effectively suicide Probability, suicide risk prediction scale, surveyed by 7 areas such as Positive outlook, Within the family closeness, Impulsivity, Interpersonal hostility, Hopelessness, Hopelessness syndrome, suicide accident. Analytical methods and validation was used the Wilcoxon's signed rank test using SPSS Program. Though the process of program in short period, but there was a effective and positive results in the 7 areas in the average comparison. But in the t-test result, there was a different outcome. It indicated changes in the 3 questionnaires (No.7, No.14, No.19) out of 31 SPS-A questionnaires, and there was a no change to the rest item. It also indicated more changes of the students in the class A than class B. And in case of the class A students, psychological changes were verified in the areas of Hopelessness syndrome, suicide accident among 7 areas after the program was processed. Through this study, it could be verified that different results could be derived depending on the Student tendency, program professional(teacher in charge, processing lecturer). The suicide prevention program presented in this article can be a help in learning and suicide prevention with consistent systematization, activation through emotion and impulse control based on emotional stress relief and positive self-identity recovery, stabilization of brain waves, and let the short period program not to be died out but to be continued connecting from childhood to adolescence capable to make surrounding environment for spiritual, physical healthy growth for which this could be an effective program for suicide prevention of the social problem.

An Analysis of Educational Capacity Prediction according to Pre-survey of Satisfaction using Random Forest (랜덤 포레스트를 활용한 만족도 사전조사에 따른 교육 역량 예측 분석)

  • Nam, Kihun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.487-492
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    • 2022
  • Universities are looking for various methods to enhance educational competence level suitable for the rapidly changing social environment. This study suggests a method to promote academic and educational achievements by reducing drop-out rate from their majors through implementation of pre-survey of satisfaction that revised and complemented survey items. To supplement the CQI method implemented after a general satisfaction survey, a pre-survey of satisfaction was carried out. To consolidate students' competences, this study made prediction and analysis of data with more importance possible using the Random Forest of the machine learning technique that can be applied to AI Medici platform, whose design is underway. By pre-processing the pre-survey of satisfaction, the students information enrolled in classes were defined as an explanatory variable, and they were classified, and a model was created and learning was conducted. For the experimental environment, the algorithms and sklearn library related in Jupyter notebook 3.7.7, Python 3.7 were used together. This study carried out a comparative analysis of change in educational satisfaction survey, carried out after classes, and trends in the drop-out students by reflecting the results of the suggested method in the classes.

The Effects of Major Commitment Level by Department Climate among Students at the Department of Dental Hygiene (치위생과 학생이 인식한 학습풍토가 전공몰입에 미치는 영향)

  • Yu, Ji-Su;Choi, Su-Young
    • Journal of dental hygiene science
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    • v.11 no.2
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    • pp.99-105
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    • 2011
  • In this study a survey was conducted with 431 students at the department of dental hygiene in three regions from April 2010 to investigate various actual states and levels of perception of their major commitment. Department-Climate and levels of major commitment were classified and described through cross-tabulation analysis; multinomial logistic regression analysis was used to predict the level of major commitment perceived for department climate and identify its influence. Major commitment classified into three levels about Inferiority, Normality and Superiority. Recognition factor of Major field was divided into external factor, eternal factor. External factor classified into professor, friends, facilities, administration-service and quality of education. As well as, eternal factor was department climate. Eternal factor consisted of relationship dimensions, goal-orientation dimensions, system maintenance dimensions and system change dimensions. This study was conducted to get a phenomenal understanding of students' learning in the major field and their school life. With this study, if friends and professor raise students at the Department of Dental Hygiene's department-climate recognition, their major-commitment will rise. And high major-commitment will be bring about their professional ability.

Gender Differences in Learning Geometric Transformations Using a Computer (컴퓨터를 이용한 기하 변환학습에서 남녀성차에 따른 연구)

  • ChoiKoh, Sang-Sook;Ko, Ho-Kyoung
    • Journal of the Korean School Mathematics Society
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    • v.9 no.4
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    • pp.539-556
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    • 2006
  • Tessellations are the pattern of iterations of geometric transformation. We can find them in the works of Escher, the famous Dutch artist. Also, We can find the beauty of tessellations in traditional Korean house doors, old Korean architecture, palace walls, and so forth. In this article, the figures of patterns we present are a pig, a frog, Tchiucheonwhang (the mascot of Korean football supporters), and figures by Escher, using the computer geometric program, GSP (Geometer's Sketchpad). We wanted to investigate the gender differences on students' achievement and disposition toward mathematics in constructing tessellations. The results indicated that if students were supported with well prepared instructional materials which helped students make their own figures, female students in particular would be more interested in learning geometric transformation.

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Academic Warning Students' Learning Behavior Type Exploration (학사경고 대학생의 학습행동 유형 탐색)

  • Hyun, Yong-Chan;Hong, Seung-Hee;Park, Jung-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.819-825
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    • 2020
  • This study explored the possibility of psychological testing as a way to proactively support underachieving students. Among the four-year college students that participated in our study, 43 students who participated in the academic warning support program for the second semester of 2019 and 30 students who had no academic warning experience used the data from the study personality type test. For data analysis, technical statistics, t-test, and correlation analysis were performed using jambi 1.1.9.0 to obtain the Pearson correlation. Studies have shown that the two classes of students differ in their learning behavior patterns. A student with a bachelor's degree warning scored high in the rest of the class, except for rebelliousness, perfection, mixed thoughts, hard work, satisfaction, single-mindedness and type satisfaction. This can be seen as a factor in the psychological conflict, such as the discrepancy between what one likes and what one studies, and lack of available support. It has been confirmed that psychology, emotional parts and economic support are needed as well as learning skills. In addition, this study is expected to provide basic data for proper preemptive support in schools, such as the prevention of dropouts and counseling programs.

A user behavior prediction technique using mobile-based Lifelog (모바일 기반 라이프로그를 이용한 사용자 행동 예측 기법)

  • Bang, Jae-Geun;Kim, Byeong Man
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.6
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    • pp.63-76
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    • 2014
  • Recently the desired information has been recommended to many people in a number of ways using the smartphone. Though there are many applications for that purpose, but most applications does not consider the user's current situation. In order to automatically recommend the information considering the user's situation, it is necessary to predict the future behavior of the user from the records of the past behavior of the user. Therefore, in this paper, we propose a method that predicts the user's future behavior through association analysis based on the user's current behavior which is identified by applying the user's current situation data collected via a smartphone to the Bayesian network built from the user's life log. From the experiments and analysis for five students and five virtual workers, the usefulness of the proposed method is confirmed.

The Development of Web-based Self-directed Learning Contents for Information and Communication Ethics Education (정보통신윤리교육을 위한 웹 기반 자기주도적 학습 콘텐츠 개발)

  • Kim Eun-Ju;Bae Yong-Geun;Chung Il-Yong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.813-816
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    • 2006
  • 정보화 역기능 현상에 대한 근본적인 대처 방안은 사용자의 정보 윤리적 관점에서 다각적으로 침해 사고에 대해 예측하고 평가하여 정보화 사회가 인간 중심의 바람직한 사회가 될 수 있도록 건전한 윤리 의식을 확립하는 것이다. 하지만, 현재의 정보통신윤리교육은 교육 목표와 내용에 있어서 균형성을 상실하여, 역기능 측면에만 치우치고, 학습자인 학생에게 자율적으로 선택하여 행동할 수 있는 능력을 키워주기보다는 일방적으로 설정된 내용을 전수하는 학습 형태를 벗어나지 못하고 있다. 따라서, 본 논문에서는 정보통신윤리교육에 대한 자기주도적 학습 방법을 웹 기반에서 적용될 수 있는 학습 콘텐츠 모형을 구현한다. 이를 위해 웹 콘텐츠를 이용하여 학습자 스스로가 개별 학습을 수행할 수 있고, 학습내용에 대한 보충 심화 반복 등의 자기주도적인 학습이 가능하도록 설계하였다.

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The Effects of Offering Similar Experiences for Hypothesis-Generation Based on Abduction (유사 경험의 제공이 귀추에 의한 가설 설정에 미치는 효과)

  • Park, Eun-Mi;Kang, Soon-Hee
    • Journal of The Korean Association For Science Education
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    • v.26 no.3
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    • pp.356-366
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    • 2006
  • The purpose of this study was to investigate the effects of offering similar experiences for hypothesis-generation based on abduction. Two hundred and seventy eight students in Seoul(8th and 10th grades) were requested to propose causal questions and generate hypotheses after observing an unfamiliar situation. Then, after having been presented numerous similar experimental situations to initial situation, the students were asked to regenerate a hypothesis. When the $X^2$ analysis was done to determine differences in hypothesis generation before and after offering the similar experimental situations, a meaningful difference appeared(p<.001). This study proposes that offering similar experimental situations ease hypothesis-generation based on abductive reasoning. Additionally, the second meaningful difference was discovered when the $X^2$ analysis was carried out to find differences in causal question proposal and hypothesis generation among students who had varied cognitive levels(p<.05) Considering the findings of the study, a progressive stage offering similar scenarios may further abductive reasoning while implementing lessons related to hypothesis generation in middle and high school.

Influence of Big Five Personality on Self-Regulation Learning and Achievement in Gifted Education (영재교육에 있어 성격 5요인의 자기조절학습 및 학업성취도 예측에 관한 연구)

  • Joo, Youngju;Kim, Dongsim
    • Journal of Gifted/Talented Education
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    • v.27 no.1
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    • pp.1-16
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    • 2017
  • This study aimed to analyze the relationships between Big five personality (openness to experience, conscientiousness, extraversion, agreeableness, neuroticism), self-regulation learning, and achievement in children in a gifted education program. 95 students in a gifted education program participated in this study. A hypothetical model proposed openness to experience, conscientiousness, extraversion, agreeableness, neuroticism as independent variables, and self-regulation learning and achievement with gifted education as dependent variables. Stepwise regression analysis indicated that openness to experience, conscientiousness, and agreeableness significantly predicted self-regulation learning. Also, neuroticism, selfregulation learning, and extraversion significantly impacted achievement with gifted education. openness to experience, conscientiousness, and agreeableness showed that complete mediating effects through self-regulation learning to achievement. A foundation for improving learning strategies in a successful gifted education program can be constructed on the basis of the results of this study.

A longitudinal analysis of high school students' dropping out: Focusing on the change pattern of dropout, changes in school violence and school counseling. (전국 고등학교 학생의 학업중단에 대한 종단적 분석 -학업중단 변화양상에 따른 유형탐색, 학교폭력 및 학교상담의 변화추이를 중심으로-)

  • Kwon, Jae-Ki;Na, Woo-Yeol
    • Journal of the Korean Society of Child Welfare
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    • no.59
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    • pp.209-234
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    • 2017
  • This study viewed schools as a cause of students dropping out and posited that dropping out of high school would vary depending on the characteristics and influencing factors of the school from which students were dropping out. Therefore, focusing on schools, we longitudinally investigated the change patterns of school dropout across high schools in the country, and the types of changes in dropping out of high school. In addition, we predicted the general characteristics of schools according to the type of school students were dropping out from, looked at the changes in the major factors (i.e., school violence and school counseling) affecting school dropout, and reviewed schools' long-term efforts and outcomes in relation to school dropout. For this purpose, KERIS EDSS's "Secondary School Information Disclosure Data" were used. The final model included data collected five years20122016) from high schools across the country. The results were as follows. First, in order to examine the longitudinal change patterns of dropping out of high schools, a latent growth models analysis was conducted, and it revealed that, as time passed, the dropout rate decreased. Second, growth mixture modeling was used to explore types according to the change patterns of the school students were dropping out from. The results showed three types: the "remaining in school" type, the "gradually decreasing school dropout" type, and the "increasing school dropping out". Third, the multinomial logistic regression was conducted to predict the general characteristics of schools by type. The results showed that public schools, vocational schools, and schools with a large number of students who have below the basic levels in Korean, English and mathematics were more likely to belong to the "increasing school dropout" type. Further, the larger the total number of students, the higher the probability of belonging to the "remaining in school" type or the "gradually decreasing school dropout" type. Lastly, growth mixture modeling was used to analyze the trend of school violence and school counseling according to the three types. The focus was on the "gradually decreasing school dropout" type. In the case of the "gradually decreasing school dropout" type, it was found that as time passed, the number of school violence cases and the number of offenders gradually decreased. In addition, in terms of change in school counseling the results revealed that the number of placement of professional counselors in schools increased every year and peer counseling was continuously promoted, which may account for the "gradually decreasing school dropout" type.