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

Bar Graph01:07

Bar Graph

16.0K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.0K
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

1.2K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
1.2K
Student t Distribution01:31

Student t Distribution

5.9K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
5.9K
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

7.4K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
7.4K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.0K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.0K
Study Design in Statistics01:15

Study Design in Statistics

7.9K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.9K

You might also read

Related Articles

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

Sort by
Same author

A next generation of the schema therapy model of personality pathology: A cross-cultural and international study protocol.

PloS one·2026
Same author

PEDV nucleocapsid (N) protein induces liquid-liquid phase separation (LLPS) to selectively aggregate the viral genome.

Veterinary microbiology·2026
Same author

Comparing Lower- and Higher-Order Aberrations: Zywave<sup>®</sup> II Hartmann-Shack Wavefront Aberrometer versus Peramis Pyramidal Aberrometer.

Journal of current ophthalmology·2025
Same author

An Autoethnography on Visualization Literacy: A Wicked Measurement Problem.

IEEE transactions on visualization and computer graphics·2025
Same author

Third Nerve Palsy: A Case of Bilateral Eyelid Ptosis, Normal Pupils, and Vertical Diplopia With Multiple Intracranial Lesions.

Cureus·2025
Same author

Identifying challenges and enabling factors in utilizing health care services by undocumented immigrant women: a scoping review of qualitative research.

Journal of health, population, and nutrition·2025
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2025

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

2.4K

What University Students Learn In Visualization Classes.

Maryam Hedayati, Matthew Kay

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Students demonstrated improved visualization skills like design empathy and deconstruction after a university course. However, a quantitative assessment showed no score increase, highlighting a need for new measurement tools for visualization literacy.

    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

    3.5K
    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.2K

    Related Experiment Videos

    Last Updated: Jun 13, 2025

    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

    2.4K
    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

    3.5K
    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.2K

    Area of Science:

    • Data Visualization
    • Educational Psychology
    • Human-Computer Interaction

    Background:

    • Improving visualization literacy is crucial for data interpretation.
    • University courses aim to enhance students' ability to understand and engage with data visualizations.
    • Existing assessments may not capture all facets of visualization literacy.

    Purpose of the Study:

    • To investigate changes in students' approaches to reading visualizations after a university-level course.
    • To qualitatively analyze how students make sense of unfamiliar visualizations post-instruction.
    • To evaluate the effectiveness of current quantitative assessments in measuring course-related gains in visualization literacy.

    Main Methods:

    • Students verbally "walked through" their process of interpreting novel visualizations.
    • Qualitative analysis was performed on these verbal walkthroughs.
    • A quantitative assessment of visualization literacy was administered before and after the course.

    Main Results:

    • Post-course, students exhibited enhanced "design empathy," critically considering design choices.
    • Students demonstrated improved ability to "deconstruct" visualizations for understanding.
    • No significant improvement in quantitative visualization literacy scores was observed, likely due to assessment misalignment.

    Conclusions:

    • Visualization courses can foster sophisticated engagement with data, including design empathy and deconstruction.
    • Current quantitative visualization literacy assessments may not align with skills emphasized in university courses.
    • Developing new, standardized assessments for deconstruction and design empathy is recommended.
    • Incorporating these advanced skills more explicitly into visualization curricula is suggested.