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

Social Loafing01:37

Social Loafing

34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
34.8K
Social Cognitive Perspective on Personality01:30

Social Cognitive Perspective on Personality

585
Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
585
Surveys02:16

Surveys

14.8K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.8K
Factors Affecting Perception01:25

Factors Affecting Perception

1.6K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
1.6K
Cognitive Learning01:21

Cognitive Learning

438
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...
438
Bullying02:04

Bullying

8.4K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.4K

You might also read

Related Articles

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

Sort by
Same author

Influencing factors of continuance intention of medical applications for the elderly.

Scientific reports·2026
Same author

Expanding the UTAUT2 framework to determine the drivers of mobile shopping behaviour among older adults.

PloS one·2023
Same author

Psychological factors affecting potential users' intention to use autonomous vehicles.

PloS one·2023
Same author

Research on the use intention of potential designers of unmanned cars based on technology acceptance model.

PloS one·2021

Related Experiment Video

Updated: Jul 25, 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

3.6K

Factors affecting students' online courses learning behaviors.

Tianyang Huang1

  • 1School of Mechanical Engineering, Guangdong Ocean University, No.1, Haida Road, Mazhang District, Zhanjiang, Guangdong 524088 China.

Education and Information Technologies
|June 26, 2023
PubMed
Summary

College students

Area of Science:

  • Educational Technology
  • Higher Education Pedagogy
  • Information Systems Research

Background:

  • Online learning is integral to higher education, yet factors influencing student engagement remain unclear.
  • Understanding these factors is crucial for optimizing digital learning environments.
  • Existing models offer partial explanations for online learning adoption.

Purpose of the Study:

  • To analyze key factors influencing college students' online course learning behavior.
  • To develop and test an integrated model of online learning acceptance.
  • To identify determinants of behavioral intention and actual usage in online education.

Main Methods:

  • Integrated the Information System Success Model, Technology Acceptance Model, and Self-efficacy Theory.
Keywords:
ChinaE-learningHigher educationInfluence factorLearned behavior

More Related Videos

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.6K
Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

9.4K

Related Experiment Videos

Last Updated: Jul 25, 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

3.6K
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.6K
Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity
07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

9.4K
  • Collected data from 308 college students in China via questionnaires.
  • Conducted semi-structured interviews with 18 participants.
  • Employed structural equation modeling for data analysis.

    • Main Results:

    • Self-efficacy positively impacts perceived usefulness and ease-of-use.
    • Perceived usefulness, attitude, system quality, and information quality positively influence behavioral intentions.
    • Perceived ease-of-use affects attitudes and perceived usefulness.
    • Perceived usefulness directly impacts attitudes.
    • Behavioral intention predicts actual online course usage.

    Conclusions:

    • The study provides empirical support for an integrated model of online learning acceptance.
    • Findings extend the Technology Acceptance Model in the context of online education.
    • Results offer actionable insights for designing effective online courses and informing institutional decisions.
    • This research contributes to the sustainable development of educational practices.