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相关概念视频

Auditory Perception01:17

Auditory Perception

318
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
318
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Elaborative Rehearsals01:07

Elaborative Rehearsals

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Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...
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Auditory Pathway01:15

Auditory Pathway

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Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
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Air-entraining Agents01:27

Air-entraining Agents

76
Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
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相关实验视频

Updated: Jun 7, 2025

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

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一个生成的人工智能驱动的交互式倾听评估任务.

Andrew Runge1, Yigal Attali1, Geoffrey T LaFlair1

  • 1Duolingo, Pittsburgh, PA, United States.

Frontiers in artificial intelligence
|November 19, 2024
PubMed
概括
此摘要是机器生成的。

大型语言模型允许自动生成项目,用于交互式语言评估. 这种人工智能驱动的方法在规模上创造了复杂的任务,改善了在英语水平测试中交互能力的评估.

关键词:
杜奥林戈的英语测试试题自动生成项目自动生成项目.生成型的人工智能互动能力 互动能力互动式倾听 互动式倾听听力评估 听力评估 听力评估心理测量是指心理测量.

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相关实验视频

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科学领域:

  • 自然语言处理自然语言处理.
  • 教育技术的教育技术
  • 教育中的人工智能

背景情况:

  • 传统的语言评估很难在规模上评估交互能力.
  • 自动化评估往往缺乏复杂性来捕捉真实的对话能力.
  • 现有的数字格式具有从纸质任务中继承的局限性.

研究的目的:

  • 描述使用生成人工智能来创建大规模的交互式听力任务.
  • 加强在英语能力测试中对交互能力的评估.
  • 开发更真实的自动测量听力能力.

主要方法:

  • 利用大型语言模型进行自动化项目生成 (AIG).
  • 开发了Duolingo英语测试 (DET) 的交互式听力任务.
  • 采用了人工智能驱动的评估创建的人在循环系统.

主要成果:

  • 使用生成性AI成功生成了713个复杂的任务.
  • 试点结果表明,大规模创建教育评估的可行性.
  • 人类审查证实了人工智能驱动方法的有效性.

结论:

  • 生成型人工智能为创建复杂,交互式语言评估任务提供了可扩展的解决方案.
  • 人工智能驱动的方法可以克服传统和现有的自动化评估的局限性.
  • 这种方法支持对交互能力的更丰富,更真实的评估.