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関連する概念動画

Intelligence01:27

Intelligence

8.8K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.8K
Measures of Intelligence01:29

Measures of Intelligence

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Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.6K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

9.1K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
9.1K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.2K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
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Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

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Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
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Biological Influences on Intelligence01:30

Biological Influences on Intelligence

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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
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Updated: Feb 14, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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看護教育における人工知能: 図書測定分析

Xiaoyue Yu1,2, Weizhen Wu1, Jun Ni3

  • 1Department of Obstetrics and Gynecology, Department of Nursing, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-HongKong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China, gzhmc.edu.cn.

Nursing research and practice
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PubMed
まとめ

人工知能 (AI) は,看護教育の有望な機会を提供し,実務者の準備を強化します. 本文献測定分析は,看護教育研究におけるAIの主要な傾向と貢献者を特定しています.

キーワード:
AIはAIでAIはAIで人工知能 (AI) とは,人工知能 (AI) に関するデータベースのデータベースデータベースのデータベースホットスポット ホットスポット看護学生の看護学についてです.

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科学分野:

  • ビビロメトリクス (Bibliometrics) とは
  • 教育における人工知能
  • 介護教育に関する教育

背景:

  • 人工知能 (AI) は,産業全体で急速に進歩しています.
  • AIは,看護教育を改善し,将来の実務者を準備するための大きな可能性を秘めています.
  • ヘルスケア・ランドスケープは,看護訓練の継続的な適応を必要とします.

研究 の 目的:

  • 介護教育における人工知能に関する研究の文献分析を実施する.
  • この分野における主要なトレンド,影響力のある情報源,新興トピックを特定する.
  • AI強化看護教育における将来の研究開発のための洞察を提供する.

主な方法:

  • VOSviewer,CiteCite,およびBibliometrix Rパッケージを使用した図書館測定分析.
  • パターンやトレンドを特定するために,出版データの可視化.
  • キーワード,情報源,貢献する機関を分析する.

主要な成果:

  • 合計430の出版物を分析した.
  • 米国と中国は主要な寄与国であり,シンガポールの国立大学が著名な機関である.
  • 主要なジャーナルには,Nurse Education TodayとNurse Education in Practiceが掲載されています.
  • トレンドの話題には,テクノロジー,教育プログラム,シミュレーションなどがあります.

結論:

  • この研究は,看護教育におけるAIの統合に関する新しい視点を提供します.
  • 発見は,将来の看護師の訓練におけるAIの役割に関心のある学者を導くことができます.
  • 介護のカリキュラムにおけるテクノロジーとシミュレーションの重要性を強調する.