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相关概念视频

Purposive Learning01:22

Purposive Learning

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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...
557
meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H01:13

meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H

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All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for...
7.0K
Introduction to Learning01:18

Introduction to Learning

1.3K
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...
1.3K
Stereotype Content Model02:16

Stereotype Content Model

15.6K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

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Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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相关实验视频

Updated: Mar 7, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

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MDENet教育平台:为学习MDE提供零安装的定向活动.

Steffen Zschaler1, Will Barnett1, Artur Boronat2

  • 1Department of Informatics, King's College London, London, UK.

Software and systems modeling
|March 6, 2026
PubMed
概括

模型驱动工程 (MDE) 工具的设置是复杂的. 一个新的基于网络的游乐场平台通过消除安装障碍并为教育活动提供特定的上下文功能来简化MDE学习.

关键词:
教育教育教育教育教育教育.在此之前,我一直在寻找MDE MDE.没有安装 没有安装在线在线在线 在线在线在线在线游乐场 游乐场

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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

背景情况:

  • 基于模型的工程 (MDE) 工具由于碎片化和有限的文档,难以设置.
  • 学习者面临着安装和配置的挑战,阻碍了对MDE核心概念的关注.
  • 复杂的MDE工具可以压倒新用户,阻碍目标的实现.

研究的目的:

  • 开发一个基于Web的平台,简化MDE工具对学习者的参与.
  • 通过消除安装障碍,减少学习MDE的意外复杂性.
  • 为教师提供灵活的环境来定义和提供MDE学习活动.

主要方法:

  • 设计了一个基于Web的游乐场平台,用于MDE学习.
  • 实施了一种声明式的方法来整合新的MDE工具.
  • 使教师能够以宣言的方式定义MDE学习活动和功能.

主要成果:

  • 该平台允许用户在没有安装的情况下参与MDE活动.
  • 教师可以通过展示特定功能来定制学习体验.
  • 平台架构支持MDE工具和活动定义的声明集成.

结论:

  • 基于网络的游乐场有效地解决了MDE学习的挑战.
  • 该平台的灵活配置可支持各种教育环境和活动.
  • 这种方法提高了可访问性,并减少了模型驱动工程的学习曲线.