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相关概念视频

Types of Aggregate Grading01:15

Types of Aggregate Grading

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Aggregate grading is crucial in economically obtaining a concrete mix with adequate strength, reasonable workability, and minimal segregation. There are four types of aggregate gradation: well-graded, uniformly (or one-sized) graded, gap-graded, and open-graded.
Well-graded aggregates include a complete range of necessary size fractions that fit together to create a dense matrix with minimal voids, represented by a smooth, continuous gradation curve. This type of grading ensures good...
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Sieve Analysis and Grading Curves01:19

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Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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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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Graded Potential01:19

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Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
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相关实验视频

Updated: Sep 19, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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使用自然语言处理和语义分析进行自动分级.

Ahmad Ayaan1, Kok-Why Ng1

  • 1Faculty of Computing and Informatics, Multimedia University, Cyberjaya, 63100, Selangor, Malaysia.

MethodsX
|June 18, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用自然语言处理 (NLP) 和语义分析的新型自动分级系统. 混合方法提供了对学生反应的一致和准确的评估,识别了需要人类审查的领域.

关键词:
使用自然语言处理和语义分析进行自动评分.自动分级系统 自动分级系统自然语言处理自然语言处理.语义分析 语义分析

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科学领域:

  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 人工智能 (AI) 是一种人工智能.
  • 教育技术的教育技术

背景情况:

  • 教育分级系统越来越多地通过NLP和AI的进步实现自动化.
  • 传统的分级方法正在被复杂的计算方法所增强.
  • 现有的自动化系统通常依赖于关键字匹配或更简单的NLP技术.

研究的目的:

  • 探索和分析自动化分级系统,包括传统和当代方法.
  • 实施和评估一种基于NLP的新型自动分级系统.
  • 评估教育中自动分级的有效性,局限性和未来前景.

主要方法:

  • 对自动分级技术进行了广泛的文献审查.
  • 开发了一种混合NLP系统,将相似度衡量 (编辑,等位数,Jaccard,单词数) 与语义分析 (通用句子编码器) 结合起来.
  • 实施加权评分机制和基于规则的最终评分层进行评估.

主要成果:

  • 新的NLP系统展示了一致和准确的分级能力.
  • 该系统有效地识别了需要进一步的人类评估的学生反应.
  • 对14名学生的反应的实验结果验证了混合方法的有效性.

结论:

  • 自动评分系统为提高教育评估提供了巨大的潜力.
  • 结合表面层面和语义分析的混合方法提供了全面的评估.
  • 开发的系统为教育工作者提供了一个有前途的工具,平衡自动化与人类监督的需要.