Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Language Development01:22

Language Development

444
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
444
Associative Learning01:27

Associative Learning

566
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
566
Language and Cognition01:27

Language and Cognition

436
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
436
Components of Language01:24

Components of Language

388
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
388
Purposive Learning01:22

Purposive Learning

203
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
203
Introduction to Learning01:18

Introduction to Learning

528
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
528

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Development and Validation of the ALARN Model: A Predictive Mortality Score for Antisynthetase Syndrome.

Arthritis & rheumatology (Hoboken, N.J.)·2026
Same author

A Novel β/ε Subunit Combination Expands the Tri-Subunit Acyl-CoA Carboxylase Repertoire in <i>Streptomyces coelicolor</i>.

Microorganisms·2026
Same author

From avoidance to ingestion: Microplastic-induced behavioral and physiological adaptations elevate microplastic ingestion and chronic toxicological risks in marine medaka (Oryzias melastigma).

Ecotoxicology and environmental safety·2026
Same author

Epigenetic reprogramming periosteum promotes aging critical segmental bone defect repair via methylation remodeling.

Bioactive materials·2026
Same author

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.

Lupus science & medicine·2026
Same author

Sweet Potato Gene Clusters Control Anthocyanin Biosynthesis and Leaf Morphology.

Plant biotechnology journal·2026

関連する実験動画

Updated: Sep 8, 2025

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
12:49

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Published on: July 13, 2019

17.2K

大型言語モデルが人間のように学ぶか:形態学的な学習における交差点と間隔の練習

Ying Xiong1, Shiyu Wu1

  • 1Shanghai Jiao Tong University, China.

Acta psychologica
|September 6, 2025
PubMed
まとめ

人間と大型言語モデル (LLM) は人工言語を異なる方法で学習します. LLMは人間より優れているが 交差や間隔効果のような人間の学習戦略を 複製することはない

科学分野:

  • 認知科学
  • 人工知能
  • コンピュータ言語学

背景:

  • 人間の学習メカニズムを理解することは,高度なAIの開発に不可欠です.
  • 大型言語モデル (LLM) は言語習得において有望ですが,その学習プロセスは十分に理解されていません.
  • 人工言語を学ぶ方法の研究は 人間の認知能力と比べて 根本的な違いを明らかにします

研究 の 目的:

  • 人工言語における形態学的パターンの習得を 人間とLLMの間で比較する.
  • 入力構造 (ブロックされた対交互,並列対間隔) が両方のシステムにおける学習にどのように影響するか調べる.
  • 学習メカニズムと認知戦略の違いを特定する.

主な方法:

  • 人工言語学習のパラダイムが採用されました.
  • 参加者は人間と3人のLLM (GPT4mini,DeepSeek_V3,Llama3.1) でした.
  • 動詞の分類と屈曲のタスクは,さまざまな入力シーケンスとプレゼンテーションで使用されました.

主要な成果:

  • LLMは一貫して 人間を上回り 優れたショット・ラーニングを証明しました
  • 人間の学習は 交差と間隔の効果によって 影響を受けます これは認知理論と一致しています
キーワード:
交差する効果大型言語モデル (LLM)メタコग्निション形態学的な学習スパッシング効果

さらに関連する動画

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

関連する実験動画

Last Updated: Sep 8, 2025

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
12:49

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Published on: July 13, 2019

17.2K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K
  • LLMはインプット構造に対するモデル依存の反応を示し,人間の学習パターンとは異なる.
  • 学習の好みに関するメタコグニティブの幻想を 人間の場合,ほとんどのLLMとは違います

    • 結論:

    • 人間の学習メカニズムである 交差や間隔は LLMに直接変換されません
    • LLMのパフォーマンスは入力構造に敏感ですが 人間の認知とは異なる方法でです
    • 異なるLLMアーキテクチャは,入力シーケンシングとプレゼンテーションに対して異なるレベルの感受性を示す.