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

Quantifying Work02:30

Quantifying Work

20.9K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system. 
20.9K
Surveys02:16

Surveys

15.0K
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.
15.0K
Random Sampling Method01:09

Random Sampling Method

11.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.9K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

30.3K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
30.3K
Case Studies01:22

Case Studies

11.8K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.8K
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

121
Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
121

You might also read

Related Articles

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

Sort by
Same author

Quasi-stationary distributions for the collective motions of a binary astrophysical system: A Langevin dynamics approach.

Chaos (Woodbury, N.Y.)·2025
Same author

Assessing the Impact of Thermal Coating Paints on Indoor Temperature and Energy Efficiency in Colombian Caribbean Homes.

Sensors (Basel, Switzerland)·2025
Same author

Complex systems and inter/transdisciplinary research: A review.

Chaos (Woodbury, N.Y.)·2024
Same author

Griffith theory of physical fractures, statistical procedures and entropy production: Rosetta stone's legacy.

PloS one·2023
Same author

Langevin equation for the collective motions of a binary astrophysical system.

Chaos (Woodbury, N.Y.)·2023
Same author

Complexity and disequilibrium in the dipole-type Hamiltonian mean-field model.

Chaos (Woodbury, N.Y.)·2022

Related Experiment Video

Updated: Aug 23, 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

Quantitative methods to determine the student workload. I. Empirical study based on digital platforms.

L Velazquez1, B Atenas1, J C Castro-Palacio2

  • 1Departamento de Física, Universidad Católica del Norte, Angamos 0610, Antofagasta, Chile.

Chaos (Woodbury, N.Y.)
|November 1, 2022
PubMed
Summary
This summary is machine-generated.

Students

More Related Videos

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.6K
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

Related Experiment Videos

Last Updated: Aug 23, 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
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

7.6K
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

Area of Science:

  • Educational Technology
  • Quantitative Education Research
  • Learning Analytics

Background:

  • The COVID-19 pandemic necessitated rapid development of online courses.
  • Understanding student study patterns in digital environments is crucial for effective pedagogy.

Purpose of the Study:

  • To quantitatively analyze student study behaviors in an online course.
  • To explore the application of economic principles and quantitative methods to educational data.

Main Methods:

  • Analysis of activity logs from digital learning platforms.
  • Reconstruction of the teaching-learning process using quantitative indicators.
  • Cross-referencing platform data with assessment results.

Main Results:

  • Student learning activities exhibit complex adaptive behaviors, mirroring financial market patterns (e.g., Pareto/Zipf distributions).
  • Quantitative methods using digital platforms are reliable for educational research.
  • A 'learning rate' indicator effectively describes student workload allocation.

Conclusions:

  • Economic concepts can enhance understanding of teaching-learning dynamics.
  • Digital platform data offers valuable insights into student engagement and performance.
  • Quantitative analysis provides a robust framework for evaluating online education.