Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

696
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...
696
Purposive Learning01:22

Purposive Learning

225
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...
225
Social Exchange Theory02:06

Social Exchange Theory

36.3K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
36.3K
Associative Learning01:27

Associative Learning

659
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...
659
Introduction to Learning01:18

Introduction to Learning

598
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...
598
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Predicting Fall Risk in Community-Dwelling Older Adults Using a Fine-Tuned Quantized Large Language Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles.

Ecotoxicology and environmental safety·2025
Same author

Deep learning for electroencephalography emotion recognition.

AIMS public health·2025
Same author

A two-stage deep learning-based hybrid model for daily wind speed forecasting.

Heliyon·2025
Same author

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.

AIMS public health·2024
Same author

Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.

Ecotoxicology and environmental safety·2023
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles

Related Experiment Video

Updated: Oct 12, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.8K

The value co-creation behavior in learning communities: Comparing conventional learning and e-learning.

Huan-Ming Chuang1, Shahab S Band2, Mehdi Sookhak3

  • 1Department of Information Management, National Yunlin University of Science and Technology, 123 University Road, Yunlin 64002, Taiwan.

Mathematical Biosciences and Engineering : MBE
|November 24, 2021
PubMed
Summary
This summary is machine-generated.

This study examines how self-directed learning and perceived benefits influence value co-creation behavior in educational settings. It utilizes advanced decision-making techniques to analyze these relationships for improved learning performance.

Keywords:
S-O-R frameworkU & G theoryVIKORself-directed learningvalue co-creation

More Related Videos

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.4K

Related Experiment Videos

Last Updated: Oct 12, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.8K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.2K
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.4K

Area of Science:

  • Education Technology
  • Learning Sciences
  • Information and Communication Technology (ICT)

Background:

  • The rapid evolution of Information and Communication Technology (ICT) is transforming the educational landscape.
  • E-learning and ICT integration offer potential for enhancing teaching and learning experiences.
  • Conventional and e-learning environments present unique opportunities and challenges for value co-creation behavior in learning communities.

Purpose of the Study:

  • To investigate the factors influencing value co-creation behavior in educational contexts.
  • To analyze the relationships between self-directed learning, perceived benefits, and value co-creation behavior using the Stimulus-Organism-Response (S-O-R) framework.
  • To provide insights for improving learning performance in diverse educational settings.

Main Methods:

  • Application of the Stimulus-Organism-Response (S-O-R) framework.
  • Utilizing multi-criteria decision-making (MCDM) techniques: Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Vital Few, Linear Combination, Optimal (VIKOR).
  • Exploration of causal effects, influential weights, and performance rankings of key constructs.

Main Results:

  • Identification of self-directed learning as a key stimulus and perceived benefits as the mediating organismic factor.
  • Quantification of the causal relationships and importance weights among the constructs.
  • Ranking of different approaches or factors based on their impact on value co-creation behavior.

Conclusions:

  • Self-directed learning and perceived benefits significantly impact value co-creation behavior in educational settings.
  • The study provides a robust framework and methodology for analyzing complex educational interactions.
  • Findings offer practical implications for educators and institutions aiming to enhance learning outcomes and foster collaborative learning environments.