• 제목/요약/키워드: Scientific Model

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Project Approach in the Organization of Scientific and Methodological Work by Applying Information Technology in Higher Education Institutions

  • Bieliaiev, Serhii;Ponomarova, Halyna;Repko, Inna;Stepanets, Ivan;Chagovets, Alla;Mykhailichenko, Mykola
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.703-711
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    • 2021
  • The article is devoted to studying the development of scientific and methodological work and its impact on the quality of students' vocational training in higher pedagogical education institutions by applying information technology. The article aim is to development of the organizational methodological support and pedagogical diagnostics of the effectiveness of the project «Modelling scientific and methodological work in a higher education pedagogical institution by applying information technology » realization in the framework of increasing the level of scientific and methodological work in a higher education pedagogical institution as a factor contributing to enhancing the quality of pedagogical education. The research program of the project activity envisages stating and substantiating the problem of scientific and methodological work by applying information technology in the framework of increasing the level and quality of educational activities in a higher pedagogical education institution through the implementation of the project approach, developing a model for the system of organizational and methodological support of the project implementation as well as monitoring the process and evaluating the results of the project implementation in terms of developing teachers' scientific, methodological, information competency and enhancing students' progress in studying. The set of criteria were developed to evaluate the level of formation of scientific and methodological competency as a result of implementing the project for the development of scientific and methodological work. The scientific and methodological work by applying information technology in the academy was carried out in accordance with the following principles: systematic character, consistent diagnostics, practical focus, scientific organizational and methodological support.

과학적 모델의 사회적 구성 수업에서 구현된 두 과학 교사의 실천적 지식의 내용 (The Contents of Practical Knowledge Realized in Two Science Teachers' Classes on Social Construction of Scientific Models)

  • 김소정;맹승호;차현정;김찬종;최승언
    • 한국과학교육학회지
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    • 제33권4호
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    • pp.807-825
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    • 2013
  • 이 연구는 과학적 모델의 사회적 구성 과정을 목적으로 설계된 수업을 실행한 두 과학 교사의 과학 수업에서 형성되었던 실천적 지식의 내용을 Elbaz가 제시한 실천적 지식의 5가지 내용 범주를 준거로 조사하였다. 이를 위해 두 과학 교사의 과학 수업에 대한 참여 관찰 및 수업 촬영 비디오 자료를 바탕으로 행위 동안의 반성 과정 및 수업 후 면담에 반영된 교사들의 내러티브를 통한 행위에 대한 반성 과정을 질적으로 분석하였다. 연구 결과, 1) 두 과학 교사의 수업 실행 과정에서 학생들이 과학적인 모델을 구성할 수 있도록 지원하는 비계를 제공할 때 교과내용 지식에 대한 실천적 지식이 발현되는 것을 볼 수 있었다. 2) 교육 과정에 대한 교사의 지식이 어려운 과학 개념의 이해와 전달에서 주어진 학습 목표에 적절한 모델 형성으로 수업의 목표를 변화하는데 중요함을 알 수 있었다. 3) 참여 교사의 교수법 지식의 실행은 과학적 모델의 사회적 구성 수업의 의도에 맞추어 학생들의 모둠 활동과 모델 생성 활동을 지원하는 방향으로 변화하였다. 4) 교사의 자아에 대한 실천적 지식은 학생들이 모둠 활동을 통해 과학적 모델을 구성하는 것을 지원할 수 있으려면, 교사는 조력자, 안내자, 그리고 격려자로서 자신의 역할을 인식하고 변화된 역할을 적절하게 수행하는 것이 중요함을 보여주었다. 5) 두 참여 교사의 학습 환경에 대한 실천적 지식은 수업을 진행하는 동안 각 모둠과 교사가 형성한 상호작용의 양상을 통해 발현되었으며, 두 교사는 함께 뛰는 운동 선수 또는 그라운드 옆의 코치와 같은 양상을 보였다. 이상의 결과를 바탕으로 과학적 모델 구성에 대한 영역 특이적 실천적 지식의 특성에 대해 논의하였다.

학생들의 학교 밖 과학 경험과 과학의 본성에 대한 견해 사이의 관계 (The Relationship between Students' Out-of-school Science Experience and Their View on the Nature of Science)

  • 강석진
    • 대한화학회지
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    • 제56권3호
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    • pp.378-385
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    • 2012
  • 이 연구에서는 학생들의 학교 밖 과학 경험과 과학의 본성에 대한 견해 사이의 관계를 조사하였다. 연구 대상은 서울시 소재의 학교에서 표집한 6학년 267명, 8학년 281명, 10학년 307명이었다. 과학의 본성에 대한 학생들의 견해 조사에는 과학의 목적, 과학 이론의 정의, 과학적 모형의 성질, 과학 이론의 잠정성, 과학 이론의 기원에 관한 5 문항으로 이루어진 과학의 본성 검사지를 이용하였다. 학생들의 학교 밖 과학 경험은 7 문항으로 구성된 수정본 과학 경험 검사의 하위 범주를 이용하여 측정하였다. 연구 결과, 6학년에서는 학생들의 학교 밖 과학 경험과 과학의 본성에 대한 견해 사이에 통계적으로 유의미한 관계가 나타나지 않았다. 8학년의 경우, 학교 밖 과학 경험 상위 수준 학생들은 과학적 모형의 성질에 대한 문항에서 현대 인식론적인 견해를 지니고 있었으나, 과학 이론의 잠정성 문항에서는 반증주의적 견해를 지니고 있었다. 10학년 학생들의 경우, 과학의 목적, 과학 이론의 정의, 과학적 모형의 성질에 대한 문항에서 학교 밖 과학 경험 상위 수준 학생들이 하위 수준 학생들에 비해 인식론적으로 세련된 견해를 지니고 있는 것으로 나타났다.

초등과학에서 창의적 문제 해결 수업 적용에 따른 학습자 유형에 대한 효과 (The Effects on Students' Leaning Types through the Creative Problem Solving Teaching Model in Elementary Science Class)

  • 최선영;김지인
    • 한국초등과학교육학회지:초등과학교육
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    • 제30권4호
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    • pp.615-623
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    • 2011
  • The purpose of this study was to analyse of the effects on students' leaning types through the Creative Problem Solving Teaching Model in elementary science class. The results of this study were as follows; 1. experimental group in creative problem solving, scientific inquiry skills and academic achievement was higher than control group which was statistically significant (p<.05). 2. for the students' learning type the experimental group was distributed to accommodators (35.7%), divergers (25.0%), convergers (25.0%) and assimilators (14.3%). 3. after the program treatment, assimilator type group students in creative problem solving were higher than other type group students. 4. diverger and assimilator group students in academic achievement, diverger group students in scientific inquiry skills, and accommodator group students in scientific attitude were higher than other groups.

과학 모델의 알고리즘의 학습이 학생들의 과학 개념 이해에 미치는 영향: 산-염기 개념을 중심으로 (Effect of Learning Scientific Model's Algorithm on Student's Understanding of Scientific concept : Focus on the Acid-Base Concept)

  • 백성혜;박철용;최희
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2017년도 제56차 하계학술대회논문집 25권2호
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    • pp.384-385
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    • 2017
  • 과학 모델은 복잡한 자연현상을 단순화하고 패턴화한 것이다. 따라서 과학 모델은 특정한 알고리즘을 가지며, 과학 모델에 대한 이해는 모델이 갖는 특정한 알고리즘에 대한 이해와 직접적으로 관련되어있다. 본 연구에서는 많은 학생들이 대안 개념을 가지고 있는 산-염기를 주제로 하여, 이 모델이 가지는 알고리즘을 학습하기 위한 프로그램을 설계하고, 알고리즘을 학습 하였을 때 과학 학습에 미치는 효과를 확인하였다. 고등학생 3학년을 대상으로 4차시로 수업을 진행하였으며, 수업의 사전과 사후 검사를 실시하여, 학생들의 모델에 대한 이해를 분석하였다. 수업 결과, 학생들은 모델의 정의와 화학반응 및 화학평형의 정성적인 부분에서는 이해의 향상을 보였으나, 정량적인 부분에는 효과를 보이지 못하였다. 이는 화학이 많은 수의 입자를 고려해야 하는 독특한 과목의 특성에 기인하며, 이를 보완하기 위하여 추후 컴퓨터프로그램을 교육 도구로 사용하는 수업을 통해 후속연구를 진행하고자 한다.

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Research on total resistance of ice-going ship for different floe ice distributions based on virtual mass method

  • Guo, Wei;Zhao, Qiao-sheng;Tian, Yu-kui;Zhang, Wan-chao
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제12권1호
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    • pp.957-966
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    • 2020
  • This paper presents the virtual mass method to implement the prediction of total resistance for ice-going ship in floe ice region based on the combined method of CFD and DEM. Two ways of floe ice distribution are adopted for the analysis and comparison. The synthetic ice model test has been conducted to determine the optimal virtual mass coefficients for the two different floe ice distributions. Moreover, the further verification and prediction are developed in different ice conditions. The results show that, the fixed and random distributions in numerical method can simulate the interaction of ship and ice vividly, the trend of total resistance varying with the speed and ice concentration obtained by the numerical simulation is consistent with the model test. The random distribution of floe ice has higher similarity and better accuracy than fixed distribution.

PEOE 수업모형을 적용한 수업이 학습자의 장·단기 파지 및 정의적 영역에 미치는 효과 (The Effects of PEOE-Based Class on Learners' Long- and Short-Term Retention and Affective Area)

  • 최성봉
    • 수산해양교육연구
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    • 제25권4호
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    • pp.878-890
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    • 2013
  • The purpose of this study is to apply the PEOE class model that can enhance students' scientific creative problem-solving ability and self-directed learning ability in the middle school science subject and analyze the effects of it on students' long- and short-term retention, scientific creative problem-solving ability, and self-directed learning characteristics. And the paper has gained the following results: First, according to the result of analysis through the pre-test, post-test, and delay test to examine the effects of PEOE-based class on learners' long- and short-term retention, it is found to be statistically significant in the significant level of .05. In other words, the class using PEOE influences learners' short-term retention significantly, but it is even more effective in transmitting the concept that students acquire into their long-term memory. Second, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' scientific creative problem-solving ability, it is found to be statistically significant in the significant level of .05 in general. However, 'elaboration' and 'originality', the subfactors of scientific creative problem-solving ability, do not indicate significant effects. Third, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' self-directed learning characteristics, it is found to be statistically significant in the significant level of .05 as a whole. However, 'openness' and 'future-oriented self-understanding', the subfactors of self-directed learning characteristics, do not exert significant effects. Based on the above study results, it can be concluded that PEOE-based class is more effective for learners' academic achievement in science, scientific creative problem-solving ability, and self-directed learning characteristics than lecture-method instruction regarding the middle school science unit of 'The Properties of Air and Weather Change'.

A 'Mode 3' Science Policy Framework for South Korea - Toward a Responsible Innovation System

  • Kim, Gouk Tae
    • STI Policy Review
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    • 제8권2호
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    • pp.23-48
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    • 2017
  • This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

Response prediction of laced steel-concrete composite beams using machine learning algorithms

  • Thirumalaiselvi, A.;Verma, Mohit;Anandavalli, N.;Rajasankar, J.
    • Structural Engineering and Mechanics
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    • 제66권3호
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    • pp.399-409
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    • 2018
  • This paper demonstrates the potential application of machine learning algorithms for approximate prediction of the load and deflection capacities of the novel type of Laced Steel Concrete-Composite (LSCC) beams proposed by Anandavalli et al. (Engineering Structures 2012). Initially, global and local responses measured on LSCC beam specimen in an experiment are used to validate nonlinear FE model of the LSCC beams. The data for the machine learning algorithms is then generated using validated FE model for a range of values of the identified sensitive parameters. The performance of four well-known machine learning algorithms, viz., Support Vector Regression (SVR), Minimax Probability Machine Regression (MPMR), Relevance Vector Machine (RVM) and Multigene Genetic Programing (MGGP) for the approximate estimation of the load and deflection capacities are compared in terms of well-defined error indices. Through relative comparison of the estimated values, it is demonstrated that the algorithms explored in the present study provide a good alternative to expensive experimental testing and sophisticated numerical simulation of the response of LSCC beams. The load carrying and displacement capacity of the LSCC was predicted well by MGGP and MPMR, respectively.

다중지능을 활용한 학습이 학생들의 과학탐구능력 및 과학적 태도에 미치는 효과 (The Effects of the Science Process Skill and Scientific Attitudes by multiple-Intelligence)

  • 홍순원;이용섭
    • 대한지구과학교육학회지
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    • 제3권1호
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    • pp.76-85
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    • 2010
  • The purpose of this study is to examine the effect of higher grades in elementary the science process skill and scientific attitudes by multiple-intelligence. To verify research problem, the subject of this study were sixth-grade students selected from two classes of an elementary school located in U1san : the search group is composed of twenty-nine students who were participated in multiple-Intelligence situation, and the other is composed of thirty-two students(comparison group) who were participated in teacher map based learning situation. During six weeks, the multiple-Intelligence was executed in th search group while the teacher map based instruction in comparison group Post-test showed following results: First, the search group showed a significant improvement in the science process skill compared th the comparison group. Second, the search group did not showed a significant improvement in the scientific attitudes compared th the comparison group. In conclusion, multiple-Intelligence teaching model was more effective than the teacher map based teaching model on science process skill. However, since the study has a limit on an object of the study and the applied curriculum, the additional studies need to be conducted with an extended comparative group and curriculum.

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