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関連する概念動画

Solving Problems in Physics02:32

Solving Problems in Physics

Problem-solving is the ability to apply general physical principles to specific situations, usually expressed by equations. It is an essential skill in physics, and can also be useful for applying physics in everyday life as well. Analytical skills and problem-solving abilities can be applied to new situations, compared to a list of facts, which can never be extensive enough to include every possible circumstance. To solve physics problems, a certain amount of creativity and insight is...
Critical Thinking01:19

Critical Thinking

Critical thinking involves reflective and productive thinking and the evaluation of evidence. Critical thinkers seek to understand the deeper meaning of ideas, question assumptions, and make independent decisions about what to believe or do. Scientists, for instance, are often critical thinkers. Critical thinking also requires humility about what we know and don't know and the motivation to look beyond the obvious. It is essential for effective problem-solving.
Colleges and universities are...
Newton’s Method01:30

Newton’s Method

Newton’s Method is a powerful iterative technique for approximating the roots of real-valued, differentiable functions, particularly when analytical solutions are impractical. This approach is widely used in scientific computing, engineering, and finance, where equations may be too complex for traditional algebraic methods to handle. The method relies on an iterative process that refines an initial estimate using the function’s derivative to approach the true solution progressively.
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
Mathematical Induction01:29

Mathematical Induction

Mathematical induction is a structured method of proof used to confirm the truth of statements involving natural numbers. Consider the sum of the first n natural numbers:This formula describes a pattern that appears to hold true as more terms are added. To verify that it is valid for all natural numbers, mathematical induction proceeds in two essential steps. The first is the base case, where the formula is tested for the initial value, typically n = 1. Substituting into both sides confirms the...
Increasing Function01:18

Increasing Function

An increasing function exhibits a rise in output values as input values increase. This behavior is depicted graphically as a curve or line that slopes upward from left to right. Such a function satisfies the condition that if x1 < x2, then f(x1) < f(x2), indicating that the function values grow with increasing inputs. This concept is fundamental in understanding growth trends across various domains, such as population dynamics, financial investments, or resource consumption.The average...

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Ole Isacson: Development of New Therapies for Parkinson's Disease
23:53

Ole Isacson: Development of New Therapies for Parkinson's Disease

Published on: April 29, 2007

教師養成:より良い数学と理科の教師を育成する方法

J Mervis

    Science (New York, N.Y.)
    |September 11, 2007
    PubMed
    まとめ
    この要約は機械生成です。

    2つの国家研究評議会のパネルは,継続的な教師の準備と,高校の教職に移行する最近のPh.D.を支援することによって,米国の科学と数学教育の改善を提案しています.

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    Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
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    Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
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    科学分野:

    • 教育政策 教育政策について
    • STEM教育についてです.
    • 教師のプロフェッショナル・デベロッパメント

    背景:

    • 米国国立研究評議会の2つのパネルが,米国の科学と数学教育の課題に取り組むために招集されました.
    • 既存の教師の準備と認定の経路は,STEMの効果的な指導に障壁となっています.

    研究 の 目的:

    • 科学と数学教育の質を高めるための実行可能な戦略を提案する.
    • 中学校におけるSTEMの資格のある教師の数を増やすための経路を特定する.

    主な方法:

    • 現在の教師教育モデルの分析.
    • 先進科学の学位を持つ個人が教職に就くための潜在的なインセンティブの検討.

    主要な成果:

    • パネル1は,教員養成のための継続的モデルを推奨し,学区と大学の協力を強調しています.
    • パネル2は,最近の科学博士が,移行,簡素化された認定,研究関連を通じて支援されれば,高校で教えることを望むことを示しています.

    結論:

    • 継続的で協力的な教師教育モデルを実装することは,STEM教育の改善に不可欠です.
    • 博士課程の教授への移行を支援する政策の変更は,STEMの教師不足に対処することができます.