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Cognitive Learning01:21

Cognitive Learning

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...
Introduction to Learning01:18

Introduction to Learning

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...
Purposive Learning01:22

Purposive Learning

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 bonus...
Associative Learning01:27

Associative Learning

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...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Learning Disabilities01:25

Learning Disabilities

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...

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Related Experiment Video

Updated: May 24, 2026

Mixed Reality for Education (MRE) Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education (MRE) Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

MLS student active learning within a "cloud" technology program.

Patricia M Tille1, Heather Hall

  • 1MLS Program, South Dakota State University, Brookings, 57007, USA. Pat.tille@sdstate.edu

Clinical Laboratory Science : Journal of the American Society for Medical Technology
|March 17, 2012
PubMed
Summary
This summary is machine-generated.

This study details the integration of technology-enhanced learning in a Medical Laboratory Science (MLS) program. It focuses on creating active learning environments using cloud technology for improved student engagement and outcomes.

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Area of Science:

  • Medical Laboratory Science Education
  • Educational Technology
  • Active Learning Strategies

Background:

  • The Medical Laboratory Science (MLS) program at a large public university initiated a technology integration project in 2009.
  • This initiative aimed to enhance teaching and learning within the curriculum, particularly in a geographically vast and sparsely populated state.

Purpose of the Study:

  • To introduce system requirements and instructional exercises for an active learning, technology-based classroom.
  • To define active learning components and explore cloud technology applications in education.
  • To assess the impact of technology integration on curriculum and student outcomes.

Main Methods:

  • Defining active learning principles and essential components.
  • Summarizing teaching methods, technologies, and exercises within a cloud computing framework.
  • Describing a cloud-enhanced classroom setup and programming considerations.
  • Identifying active learning tools and exercises suitable for laboratory science programs.
  • Outlining the evaluation and assessment strategies for curriculum changes and student results.

Main Results:

  • The integration process is ongoing, emphasizing continuous improvement.
  • The program utilizes cloud technology to foster student-driven active learning experiences.
  • Sample instructional exercises and system requirements for technology-enhanced classrooms are presented.

Conclusions:

  • Technology integration in MLS programs is a dynamic and evolving process.
  • The initiative successfully established a framework for active learning through technology.
  • The focus remains on providing student-centered, technology-enabled educational experiences.