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相关概念视频

Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

129
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
129
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

342
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
342
Machines: Problem Solving II01:30

Machines: Problem Solving II

308
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
308
Machines: Problem Solving I01:22

Machines: Problem Solving I

319
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
319
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Heuristics01:21

Heuristics

84
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
84

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相关实验视频

Updated: Jun 26, 2025

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
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图表基于语义相似性的编程练习的自动评估.

Chengguan Xiang1,2, Ying Wang3, Qiyun Zhou1

  • 1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, 430079, China.

Scientific reports
|May 8, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于自动编程练习评估的高效算法. 它在不运行程序的情况下评估代码结构和语义,为多种语言提供可靠和准确的评分.

关键词:
自动评估自动评估.程序依赖度图表的图表程序语义学 程序语义学编程练习 编程练习相似之处 相似之处

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科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程
  • 教育技术的教育技术.

背景情况:

  • 传统的编程练习评估通常需要程序执行,这可能是计算密集的,容易出现环境问题.
  • 现有的自动分级系统可能会在语义理解和学生代码中的结构变化方面扎.
  • 需要高效准确的自动化评估方法,能够处理多种编程语言.

研究的目的:

  • 提出一种新的算法,用于对编程练习进行自动评估.
  • 开发一种基于结构和语义相似性的程序得分的方法,而无需执行.
  • 提高自动化编程评估的可靠性和准确性.

主要方法:

  • 该算法分析了程序依赖图结构和语义相似性.
  • 它计算了学生和参考程序之间的节点相似性.
  • 生成一个相似度矩阵以确定最佳相似度节点路径.

主要成果:

  • 拟议的算法实现了改进的计算效率,时间复杂度为O{\displaystyle O{\text{n}^{2}} .
  • 与现有的算法相比,实验结果显示出更高的可靠性和准确性.
  • 该方法对于评估C/C++,Java和Python中的编程练习是有效的.

结论:

  • 开发的算法为自动化编程练习评估提供了一种高效和有效的方法.
  • 它为基于执行的分级系统提供了可靠的替代方案.
  • 该算法的语言不可知设计使其在计算机科学教育中广泛适用.