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

Introduction to Statistics01:17

Introduction to Statistics

47.3K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
47.3K
Biostatistics: Overview01:20

Biostatistics: Overview

287
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
287
Study Design in Statistics01:15

Study Design in Statistics

8.3K
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...
8.3K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.7K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.7K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.5K
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...
12.5K
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

1.8K
Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Drawing or gesturing? Prior knowledge moderates the impact of embodied pedagogies.

Cognitive research: principles and implications·2026
Same author

Navigating the Hidden Curriculum: A Study of Resource-Based and Stories-Based Interventions in Higher Education.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Watching hands move enhances learning from concrete and dynamic visualizations.

Journal of experimental psychology. General·2024
Same author

Embodying Similarity and Difference: The Effect of Listing and Contrasting Gestures During U.S. Political Speech.

Cognitive science·2024
Same author

Watching videos of a drawing hand improves students' understanding of the normal probability distribution.

Memory & cognition·2024
Same author

Instructed Hand Movements Affect Students' Learning of an Abstract Concept From Video.

Cognitive science·2021

Related Experiment Video

Updated: Jul 26, 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

2.5K

Representational-mapping strategies improve learning from an online statistics textbook.

Icy Yunyi Zhang1, Maureen E Gray2, Alicia Xiaoxuan Cheng1

  • 1Department of Psychology, University of California, Los Angeles.

Journal of Experimental Psychology. Applied
|June 12, 2023
PubMed
Summary

This study shows that a representation-mapping intervention effectively improves student learning in STEM fields by connecting multiple representations. The intervention was integrated into an online textbook for real-world application and extended study.

More Related Videos

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.6K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.0K

Related Experiment Videos

Last Updated: Jul 26, 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

2.5K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.6K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.0K

Area of Science:

  • STEM Education
  • Cognitive Science

Background:

  • Flexible knowledge of multiple representations is crucial for STEM learning and problem-solving.
  • Connecting information across different representations is key for student understanding.
  • Previous interventions were often lab-based or short-term, lacking authentic learning contexts.

Purpose of the Study:

  • To develop and evaluate a representation-mapping intervention.
  • To help students interpret, coordinate, and translate across multiple representations.
  • To integrate the intervention into an authentic college course setting.

Main Methods:

  • Developed a representation-mapping intervention.
  • Integrated the intervention into an online college textbook.
  • Studied the intervention's impact over an extended period in a real course.

Main Results:

  • The representation-mapping intervention demonstrated efficacy in facilitating student learning.
  • The study provided insights into implementing interventions in authentic learning environments.

Conclusions:

  • The representation-mapping intervention is effective for enhancing learning in STEM.
  • Integrating interventions into authentic learning contexts is feasible and beneficial.
  • Further refinement of such interventions can optimize their impact.