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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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Introduction to Learning01:18

Introduction to Learning

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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.
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
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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...
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Updated: Jun 22, 2025

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在高等教育中整合深度学习技术,以实现个性化的学习途径.

Fawad Naseer1, Muhammad Nasir Khan2, Muhammad Tahir3

  • 1Computer Science and Software Engineering Department, Beaconhouse International College, Pakistan.

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概括
此摘要是机器生成的。

人工智能 (AI) 和深度学习 (DL) 在高等教育中创造了个性化的学习途径. 与传统方法相比,这种人工智能驱动的平台显著提高了学生的成绩,分数和参与度25%.

关键词:
深度学习是一种深度学习.高等教育 高等教育个性化学习个性化学习

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科学领域:

  • 教育技术的教育技术
  • 教育中的人工智能
  • 深度学习应用程序

背景情况:

  • 传统的高等教育经常使用一种适合所有人的方法,无法满足各种学生的需求.
  • 人工智能的快速发展为个性化学习体验提供了机会.
  • 迫切需要弥合静态的教育内容和动态的学生需求之间的差距.

研究的目的:

  • 调查人工智能驱动的自适应学习平台在高等教育个性化教育的有效性.
  • 为学生使用深度学习技术创建定制的学习途径.
  • 为大规模在教育中实施人工智能提供一个有效的框架.

主要方法:

  • 在四个大学课程中实施AI驱动的自适应式学习平台,共有300名学生.
  • 一个受控的实验,比较使用人工智能平台的学生与传统教学中的学生之间的结果.
  • 对成绩,考试成绩和参与度指标的定量分析,以及对绩效数据的定性反和深度学习分析.

主要成果:

  • 在使用人工智能平台的学生的成绩,考试成绩和参与度的统计学上显著提高25% (p值 = 0.00045).
  • 定性反表明,由于个性化的学习途径,学生体验得到了增强.
  • 深度学习分析证实了随着时间的推移增强的学习成果和参与度量.

结论:

  • 利用深度学习和强大分析的AI平台可以显著提高学生的学业成绩,参与度和满意度.
  • 该研究为机构提供了一个经验验证的,数据驱动的框架,用于实施个性化,人工智能驱动的教育.
  • 这些发现对适应性和以学生为中心的高等教育方法论的未来有重大影响.