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Cognitive Learning01:21

Cognitive Learning

693
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
693
Purposive Learning01:22

Purposive Learning

215
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...
215
Learning Disabilities01:25

Learning Disabilities

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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
296
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.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
588
Associative Learning01:27

Associative Learning

637
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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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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Related Experiment Video

Updated: Oct 3, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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Learning Performance in Adaptive Learning Systems: A Case Study of Web Programming Learning Recommendations.

Hsiao-Chi Ling1, Hsiu-Sen Chiang2

  • 1Department of Marketing, Kainan University, Taoyuan, Taiwan.

Frontiers in Psychology
|February 14, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a personalized web programming recommendation system to address student learning challenges. The system, using C4.5 decision trees and adaptive instruction, improves learning effectiveness and confidence for beginner programmers.

Keywords:
computer programmingdecision treelearning motivationpersonality traitspersonalization

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Area of Science:

  • Computer Science Education
  • Human-Computer Interaction
  • Educational Technology

Background:

  • Learning computer programming presents challenges due to the discrepancy between programming logic and human cognition.
  • Mismatched course content and skill level lead to learner frustration, reduced motivation, and abandonment.
  • Personalized learning paths are crucial for fostering accomplishment and confidence in novice programmers.

Purpose of the Study:

  • To develop and evaluate a web programming recommendation system for personalized learning guidance.
  • To create tailored learning paths for front-end and back-end web development.
  • To enhance learner self-confidence and overall learning effectiveness.

Main Methods:

  • Study 1: Developed a recommendation system using C4.5 decision tree methods based on data from 41 professional web designers.
  • Study 1: Implemented and tested the system with 13 beginner programmers over 4 weeks, gathering feedback through interviews.
  • Study 2: Developed an online platform with real-time feedback and adaptive instruction, contrasting it with fixed instruction models.

Main Results:

  • Study 1: The recommendation system demonstrated acceptable effectiveness in guiding beginner programmers.
  • Study 2: Learners in the adaptive instruction group showed significantly better learning performance compared to the fixed instruction group.
  • The system successfully provided personalized learning paths, contributing to a sense of accomplishment.

Conclusions:

  • Personalized recommendation systems and adaptive instruction are effective in improving web programming education.
  • Addressing individual learning needs enhances student motivation, confidence, and programming skill acquisition.
  • The developed system offers a viable solution for overcoming common challenges in learning programming.