• 제목/요약/키워드: belief system

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고등학생의 수학적 신념체계 및 중심신념요인 분석 (Analysing High School Students' Mathematical Belief System and Core Belief Factors)

  • 김윤민;이종희
    • 대한수학교육학회지:학교수학
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    • 제16권1호
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    • pp.111-133
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    • 2014
  • 본 연구는 수학적 신념체계를 탐색하고, 고등학생의 수학적 신념체계의 중심신념요인 분석을 목적으로 한다. 개별적인 수학적 신념보다는 수학적 신념체계가 수학 학습 및 문제해결에 훨씬 많은 영향을 끼쳐서 내부적인 동력이 될 수 있고, 학생의 수학적 관점을 갖게 하기에 수학 교수 학습 및 문제해결에서 수학적 신념체계는 중요하다. 수학적 신념체계는 수학 교과, 수학 문제해결, 수학 교수 학습, 자아개념에 대한 신념이 밀접한 상호관련성을 갖고 구성되며, 신념체계에는 신념간의 관련성과 영향력에 따라 중심신념이 존재한다. 이에, 고등학생 526명의 수학적 신념 검사결과를 바탕으로, 수학적 신념의 요인간 상관분석과 중다회귀분석 결과를 이용하여, 중심신념요인으로 끈기, 도전성, 자신감, 감정을 확인할 수 있었다. 이러한 수학적 신념체계의 중심신념요인들은 학생들의 수학학습의 경험에 의해 발달되고 평가에 의해 견고해진 것으로 살펴볼 수 있었다.

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철도기관사의 신념수정에 영향을 미치는 요인에 관한 연구 (A Study on the Factors of the Engine driver′s Belief Revision)

  • 김충수;김정평;안준용
    • 한국철도학회논문집
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    • 제5권4호
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    • pp.209-214
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    • 2002
  • Belief revision involves integrating new information with the current belief. It is a ubiquitous human activity. A critical feature of belief revision lies in its sequential nature. Railroad system can be described as organic. Engine drivers take a great role in this system. Recently, Hogarth and Einhorn(1992) have posited a belief-adjustment model for updating beliefs. Based on a sequential anchoring and adjustment strategy, the model is important for decision makers. The sequential nature of information processing is affected by some task variables. The purpose of this study is to examin factors which influnce on the Enginr Driver's belief revision process. The factors are the order, experience and task. The difference of belief revision is due to the order and experience level.

철도기관사의 경험효과에 관한 연구 (A Study on the Experience Effect of Engine Drivers)

  • 김충수;안승호
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 1999년도 추계학술대회 논문집
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    • pp.73-80
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    • 1999
  • Belief revision involves integrating new information with the current belief. It is a ubiquitous human activity. A critical feature of belief revision lies in its sequential nature. Railroad system can be described as organic. Engine drivers take a great role in this system. Recently, Hogarth and Einhorn(1992) have Posited a belief-adjustment model for updating beliefs. Based on a sequential anchoring and adjustment strategy, the model is important fro decision makers. The sequential nature of information processing is affected by some task variables. This will be mainly explained in this paper. The purpose of this study is to examine the engine drivers' belief revision process and factors which influence on the belief revision process. The factors are the order and the experience. Thereby, this will contribute to the study of engine drivers' behavior. The result of this study is summarized as follows. The order effect due to the order of presentation of the evidence exist. The difference of belief revision is due to The experience level.

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수리 철학 학습 과정이 예비 초등 교사의 수학적 신념에 미치는 영향 (Influence of a Mathematical Philosophy Course on Preservice Elementary Teachers' Mathematical Beliefs)

  • 서관석
    • 한국초등수학교육학회지
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    • 제6권1호
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    • pp.1-21
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    • 2002
  • 교사들의 교수 행동은 그들 신념의 직접적인 영향을 받고 학생들의 신념 체계 형성에 직접적인 영향을 미친다. 본 연구에서는 교원 양성 대학의 교육과정이 예비교사들의 긍정적 신념 체계 형성에 도움을 줄 수 있는가를 경험적으로 살펴보았다. 먼저 신입 예비 교사들의 수학에 대한 신념을 묻는 설문 조사 결과, 신입 예비 교사들의 전체적인 수학에 대한 신념이 다소 긍정적으로 나타났으나 만족할 만한 수준은 아니었다. 그러나 ‘수리 철학’ 강의를 실시한 뒤 나타나는 수학적 신념 변화를 사전-사후 질문지로 분석한 결과, 신입 예비 교사가 수학 교수 학습 방법 등 수학 교육과 관련한 교과목을 이수하지 않은 상황에서도 수학에 대한 신념이 매우 긍정적으로 바뀌었음을 알 수 있었고, 그 중에서도 수리 철학 그 자체의 개념과 가장 부합되는 수학 본질 신념 영역에서 가장 많은 변화를 보여 주었다. 이를 통해 예비 교사들을 대상으로 실시한 수리 철학 강의가 예비 교사들의 수학에 대한 긍정적 신념 체계 형성에 많은 영향을 주었음을 알 수 있었다.

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Fuzzy Belief Network : 가능성을 이용한 근사추론 시스템 (Fuzzy Belief Network : Approximate Reasoning System Using The Possiblity)

  • 조상엽;김기태
    • 인지과학
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    • 제4권1호
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    • pp.261-294
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    • 1993
  • 대부분의 규칙 기반 전문가 시스템에서 규칙의 갱신과 새로운 규칙의 추가가 다른 규칙에 영향을 주어서는 안된다. 이러한 원리를 규칙의 모듈성이라고 한다. 전문가 시스템에서 증거간의 관계를 알려고 할때, 기존의 전문가 시스템은 정보의 근원이 다른것으로 가정하고 믿음값을 갱신한다. 이러한 가정은 규칙의 모듈성을 위반하게 된다. 본 논문에서는 이러한 문제점을 해결하기 위해 규칙의 모듈성을 보장하는 베이지안 네트워크에 기반을 둔 Fuzzy Belief Network 를 제안한다. Fuzzy Belief Network을 구축하기 위해 노드와 링크 등을 정의하고, 각 노드에서 발생하는 자료의 융합 알고리즘과 자료를 융합한 결과인 믿음값을 모든 노드에 전달하는 확산 알고리즘을 제안한다.

부산시(釜山市) 청소년(責少年)의 반주행위(飯酒行爲)에 관한 연구(硏究) - 사회심리적(社會心理的) Model에 의한 분석(分析) - (Adolescent Drinking Behaviors in Pusan City : An Analysis on the Sociopsychological Model)

  • 고정자
    • 아동학회지
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    • 제7권2호
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    • pp.55-73
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    • 1986
  • This study analyzed the socio-psychological process of adolescent drinking behaviors. A total 1,732 high school students in Pusan city were studied by the questionnaire from May to July, 1985. A structural model based on review of the literature was examined in order to test the following three hypotheses: (1) sociocultural and environmental impact on the adolescent belief system for drinking, on drinking situations, and on experiences of deviation, (2) relationships among adolescent belief system, drinking situations, and experiences of deviation, and (3) impact of antecedent variables on adolescent drinking levels. All hypotheses were supported by the data. The important outcomes were discussed as follows: 1. Because interpersonal factors were influential for the adolescent belief system concerning drinking, public drinking education through mass communication or drinking education in the curriculum were recommended. In addition to sex variables, friends' drinking and sibling's drinking were shown to have a positive impacts on drinking situations. Also, adolescent self-reported parents' views on drinking had significant effects. Because adolescent deviant experiences were generally affected by environmental factors, it is recommended that positive extra-curricular activities at both home and school should be investigated. 2. There were significant relationships among adolescent belief systems, drinking situations, and deviant experiences. However, adolescent drinking behaviors in supervised situations had weak correlations with their belif systems and deviant behaviors. 3. Adolescent drinking levels were remarkably influenced by drinking behaviors in unsupervised situations. Because it is difficult to control actual adolescent drinking behaviors in unsupervised situations, it is important to fortify their belief system with continuous education programs.

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육류에 대한 쾌락적 신념, 양면가치, 주관적 규범, 태도와 육류 소비행동의 인과관계 평가 (Assessing the Causal Relationships among Hedonic belief, Ambivalence, Subjective norm, Attitude and Meat Consumption Behavior)

  • 강종헌;정항진
    • 한국생활과학회지
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    • 제17권1호
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    • pp.141-150
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    • 2008
  • The purpose of this study was to assess the causal relationships among hedonic belief, ambivalence, subjective norm, attitude and meat consumption behavior. A total of 318 questionnaires were completed. Structural equation model was used to measure the causal effects of constructs. Results of the study demonstrated that fit of the restricted baseline model is significantly worse than that of the unrestricted proposed model, in which more parameters are estimated. The effects of hedonic belief, ambivalence and subjective norm on attitude were statistically significant. The effects of hedonic belief, subjective norm and attitude on meat consumption were statistically significant. The effect of attitude on intention was statistically significant. Moreover, attitude played a mediating role in the relationships between hedonic belief and meat consumption, between ambivalence and meat consumption, and between subjective norm and intention. This study suggested that the consumer decision-making process for eating meat products is best modeled as a complex system that incorporates both direct and indirect effects on meat consumption. This study believed the evidence presented supports this position. Moreover, this study appeared to be a worthy area of pursuit.

스마트폰 센서를 이용하여 행동을 인식하기 위한 계층적인 심층 신뢰 신경망 (Hierarchical Deep Belief Network for Activity Recognition Using Smartphone Sensor)

  • 이현진
    • 한국멀티미디어학회논문지
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    • 제20권8호
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    • pp.1421-1429
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    • 2017
  • Human activity recognition has been studied using various sensors and algorithms. Human activity recognition can be divided into sensor based and vision based on the method. In this paper, we proposed an activity recognition system using acceleration sensor and gyroscope sensor in smartphone among sensor based methods. We used Deep Belief Network (DBN), which is one of the most popular deep learning methods, to improve an accuracy of human activity recognition. DBN uses the entire input set as a common input. However, because of the characteristics of different time window depending on the type of human activity, the RBMs, which is a component of DBN, are configured hierarchically by combining them from different time windows. As a result of applying to real data, The proposed human activity recognition system showed stable precision.

Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks

  • Farhadipour, Aref;Veisi, Hadi;Asgari, Mohammad;Keyvanrad, Mohammad Ali
    • ETRI Journal
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    • 제40권5호
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    • pp.643-652
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    • 2018
  • Dysarthria is a degenerative disorder of the central nervous system that affects the control of articulation and pitch; therefore, it affects the uniqueness of sound produced by the speaker. Hence, dysarthric speaker recognition is a challenging task. In this paper, a feature-extraction method based on deep belief networks is presented for the task of identifying a speaker suffering from dysarthria. The effectiveness of the proposed method is demonstrated and compared with well-known Mel-frequency cepstral coefficient features. For classification purposes, the use of a multi-layer perceptron neural network is proposed with two structures. Our evaluations using the universal access speech database produced promising results and outperformed other baseline methods. In addition, speaker identification under both text-dependent and text-independent conditions are explored. The highest accuracy achieved using the proposed system is 97.3%.

근골격계 하지손상환자의 정맥혈전색전증 관련 지식과 건강신념 및 예방행동의도 (Knowledge, Health Belief, and Preventive Behavioral Intention related to Venous Thromboembolism (VTE) of the Patients with Lower Limb Musculoskeletal System Disorders)

  • 양혜진;강희영
    • 한국간호교육학회지
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    • 제19권4호
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    • pp.531-541
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    • 2013
  • Purpose: This study was done to examine the relationship among knowledge, health belief, and preventitive behavioral intention related to venous thromboembolism (VTE) in patients with lower-limb musculoskeletal disorders. Methods: This transversal descriptive study looked at 145 adult patients with lower-limb musculoskeletal disorders, who were hospitalized in C hospital in G city. Data were collected from September 29 to October 6, 2012. Knowledge, health belief and preventitive behavioral intention were measured by structured questionnaires. Date were analyzed by descriptive statistics, one-way ANOVA, independent t-test, and Pearson correlation, using the SPSS program. Results: The mean score of knowledge related to VTE was low. The mean scores of health belief and preventitive behavioral intention related to VTE were moderate or higher than average. Preventitive behavioral intention positively correlated with knowledge, perceived benefit, and health motivation. Whereas, there was a negative correlation between preventitive behavioral intention and perceived barriers. Conclusion: These results suggest that developing a health care program which is able to enhance knowledge, perceived benefit, and health motivation related to VTE and reduce perceived barriers, is essential in order to promote preventitive behaviors.