Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cognitive Learning

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...

Purposive Learning

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...

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

Associative Learning

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 Learning

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...

Introduction to Learning

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Taxonomic composition and carbohydrate-active enzyme content in microbial enrichments from pulp mill anaerobic granules after cultivation on lignocellulosic substrates.

Frontiers in microbiomes·2026

Same author

Enhancing the Diagnostic Performance of Early Lung Cancer by Integrating Multiplex Nucleic Acid Aptamer Detection With Conventional Tumor Markers: A Prospective Observational Study.

American journal of clinical oncology·2026

Same author

The Mechanism and Design Principles of Serious Games in Enhancing Adolescents' Internet Adaptability.

JMIR serious games·2026

Same author

Characterization and screening of a novel octapeptide from protein hydrolysates of <i>Crassostrea gigas</i> and its immunomodulatory effects on RAW264.7 cells.

Food chemistry: X·2026

Same author

Study on the mining stress field distribution law beneath isolated coal pillar in close coal seam and reasonable location of the roadway.

Scientific reports·2026

Same author

Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

ACS nano·2026

Same journal

Characterizing facilitators and barriers to Hypoglycemic Confidence among patients with diabetes: a qualitative descriptive study.

Frontiers in psychology·2026

Same journal

Psychometric evaluation and refinement of the 7DHW questionnaire for the German population.

Frontiers in psychology·2026

Same journal

Editorial: Ethical leadership and workplace equity: mediating and moderating mechanisms in emotional labor and well-being.

Frontiers in psychology·2026

Same journal

How organizational support promotes teacher professional recognition: a perspective on teachers' autonomous learning and teaching abilities.

Frontiers in psychology·2026

Same journal

From "performance competition arena" to "psychological exemption zone": psychological safety mechanisms in reverse mobility.

Frontiers in psychology·2026

Same journal

General and sport-specific mental toughness in university students: associations with personality traits and physical activity.

Frontiers in psychology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 14, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Using Artificial Intelligence-Based Collaborative Teaching in Media Learning.

Weijun Wang¹, Zhenhuan Liu²

¹School of Creative Design, Shanghai Institute of Commerce & Foreign Languages, Shanghai, China.

Frontiers in Psychology

|November 1, 2021

Summary

This summary is machine-generated.

Teachers

Keywords:

artificial intelligence collaborative teaching digital media education learning effectiveness teaching innovation

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

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

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

Published on: June 23, 2023

Related Experiment Videos

Last Updated: Oct 14, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

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

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

Published on: June 23, 2023

Area of Science:

Educational Technology
Artificial Intelligence in Education
Digital Media Education

Background:

The integration of artificial intelligence (AI) into education is accelerating with the 5G era.
Teachers require specific knowledge and skills for effective AI implementation in collaborative teaching environments.
Digital media education is crucial for leveraging AI's potential in schools.

Purpose of the Study:

To identify key decision-making factors influencing elementary school teachers' selection of AI technology.
To analyze the criteria teachers use when evaluating AI tools for collaborative teaching.
To provide insights for developing AI educational content and recommendation services.

Main Methods:

Literature review on digital media education and smart technology.
Comparison of AI-based collaborative teaching with traditional methods.
Expert questionnaires and data analysis to determine influencing factors and evaluation criteria.

Main Results:

The primary factors influencing teachers' AI technology choices are "collaborative tasks," "functional characteristics," and "modeling characteristics."
Key evaluation criteria include "learning assistance," "security," "teaching observation," and "record review."
Twelve evaluation criteria were identified and analyzed.

Conclusions:

Understanding teachers' decision-making factors is vital for successful AI adoption in elementary schools.
The study provides a framework for selecting and implementing AI tools to enhance collaborative teaching.
Further research can explore AI's role in digital media education for improved teaching and learning outcomes.