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

Purposive Learning01:22

Purposive Learning

238
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...
238
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

2.0K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
2.0K
Cognitive Learning01:21

Cognitive Learning

709
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...
709
Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

353
When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the...
353
Introduction to Learning01:18

Introduction to Learning

609
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...
609
Steps in the Modeling Process01:14

Steps in the Modeling Process

384
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
384

You might also read

Related Articles

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

Sort by
Same author

Reducing mental health stigma in the workplace: a mixed-method analysis of a quasi-experimental trial and the contextual role of personal values.

Frontiers in public health·2026
Same author

Blind spots of psychotherapists? Implicit and explicit mental illness stigma in psychotherapists, psychology students, and laypersons.

Frontiers in psychology·2026
Same author

Addressing mental illness stigma in German higher education: study protocol for a mixed-methods evaluation of a psychosocial setting-based intervention.

BMJ open·2024
Same author

Challenges and Opportunities in Data Visualization Education: A Call to Action.

IEEE transactions on visualization and computer graphics·2023
Same author

Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction.

IEEE transactions on visualization and computer graphics·2020

Related Experiment Video

Updated: Oct 18, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

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

Published on: June 10, 2021

5.5K

A Didactic Framework for Analyzing Learning Activities to Design InfoVis Courses.

Mandy Keck, Elena Stoll, Dietrich Kammer

    IEEE Computer Graphics and Applications
    |October 1, 2021
    PubMed
    Summary

    This study introduces a didactic framework to help educators select appropriate data visualization (vis) activities for courses. The framework maps learning goals to Bloom's revised taxonomy, aiding in course design and evaluation.

    More Related Videos

    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.7K

    Related Experiment Videos

    Last Updated: Oct 18, 2025

    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
    10:43

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

    Published on: June 10, 2021

    5.5K
    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
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.7K

    Area of Science:

    • Information Science
    • Educational Technology
    • Human-Computer Interaction

    Background:

    • Data visualization is crucial for managing information overload.
    • Data visualization activities (vis activities) are effective for teaching visualization skills.
    • Selecting appropriate vis activities for diverse learners and courses is challenging.

    Purpose of the Study:

    • To propose a didactic framework for selecting data visualization activities.
    • To structure and evaluate data visualization courses effectively.

    Main Methods:

    • Decomposition of vis activities into learning activities based on Bloom's revised learning taxonomy.
    • Mapping learning goals to cognitive process and knowledge dimensions.
    • Demonstration through workshops using an interface construction kit.

    Main Results:

    • The proposed framework facilitates the planning and evaluation of didactic course structures.
    • Provides a systematic approach to matching learning objectives with specific vis activities.
    • Workshop results indicate the framework's practical applicability.

    Conclusions:

    • The didactic vis framework supports educators in making informed choices about vis activities.
    • Enables a more structured and effective approach to teaching data visualization.
    • Contributes to improved learning outcomes in data visualization education.