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

Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

6.4K
Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
6.4K
Drug Classes and Categories01:25

Drug Classes and Categories

3.1K
Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
3.1K
Antibody Structure and Classes01:25

Antibody Structure and Classes

9.1K
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
9.1K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

725
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
725
Integration of Synaptic Events01:28

Integration of Synaptic Events

3.7K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
3.7K
Problem-Solving01:29

Problem-Solving

515
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
515

You might also read

Related Articles

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

Sort by
Same author

EXPRESS: The Role and Mechanism of Lysyl Hydroxylase 1 (LH1) in Vascular Lesions in Hypertensive Intracerebral Hemorrhage.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Effect of Titrated Dexmedetomidine versus Esmolol on Postoperative Myocardial Injury in High-Risk Patients Undergoing Laparoscopic Colorectal Cancer Surgery: A Randomized Controlled Trial.

Drug design, development and therapy·2026
Same author

From experience to intention: how rural tourscape fosters destination sustainability through flow experience and memory.

Frontiers in psychology·2026
Same author

Identification and multicenter validation of a 4-gene plasma signature for early recognition and risk assessment in hypertensive intracerebral hemorrhage.

Genomics·2026
Same author

A postoperative dynamic nomogram for predicting myocardial injury after noncardiac surgery in high-risk patients undergoing laparoscopic colorectal cancer resection.

BMC anesthesiology·2026
Same author

Thalamocortical regulation of prefrontal stability enables abstract rule generalization.

Science advances·2026

Related Experiment Video

Updated: Jan 28, 2026

Recurrent Herpetic Stromal Keratitis in Mice, a Model for Studying Human HSK
07:27

Recurrent Herpetic Stromal Keratitis in Mice, a Model for Studying Human HSK

Published on: December 18, 2012

12.4K

Latent Class Analysis of Recurrent Events in Problem-Solving Items.

Haochen Xu1, Guanhua Fang2, Yunxiao Chen3

  • 1Fudan University, Shanghai, China.

Applied Psychological Measurement
|February 22, 2019
PubMed
Summary

This study introduces a new method for analyzing complex problem-solving processes recorded in computer log files. Latent class analysis helps uncover meaningful patterns in student behavior during assessments.

Keywords:
PISA 2012complex problem-solvingcomputer-based assessmentevent history analysisfrailtyprocess datarandom effectrecurrent event

More Related Videos

Spatiotemporal Analysis of Cytokinetic Events in Fission Yeast
11:19

Spatiotemporal Analysis of Cytokinetic Events in Fission Yeast

Published on: February 20, 2017

7.7K
Screening Foodstuffs for Class 1 Integrons and Gene Cassettes
09:37

Screening Foodstuffs for Class 1 Integrons and Gene Cassettes

Published on: June 19, 2015

9.5K

Related Experiment Videos

Last Updated: Jan 28, 2026

Recurrent Herpetic Stromal Keratitis in Mice, a Model for Studying Human HSK
07:27

Recurrent Herpetic Stromal Keratitis in Mice, a Model for Studying Human HSK

Published on: December 18, 2012

12.4K
Spatiotemporal Analysis of Cytokinetic Events in Fission Yeast
11:19

Spatiotemporal Analysis of Cytokinetic Events in Fission Yeast

Published on: February 20, 2017

7.7K
Screening Foodstuffs for Class 1 Integrons and Gene Cassettes
09:37

Screening Foodstuffs for Class 1 Integrons and Gene Cassettes

Published on: June 19, 2015

9.5K

Area of Science:

  • Educational Psychology
  • Data Science
  • Cognitive Science

Background:

  • Computer-based assessments capture detailed problem-solving process data.
  • Log files contain massive, irregularly structured event data.
  • Traditional analysis methods are insufficient for complex process data.

Purpose of the Study:

  • To propose and evaluate a novel data analysis method for computer-based complex problem-solving process data.
  • To address the challenges posed by massive and irregularly structured log file data.
  • To identify meaningful patterns and latent classes within problem-solving trajectories.

Main Methods:

  • Latent Class Analysis (LCA) applied to event data from computer-based assessments.
  • Exploratory analysis of log file data from a complex problem-solving task (e.g., "Climate Control" from PISA 2012).
  • Simulation studies to validate the efficacy of the proposed LCA approach.

Main Results:

  • The exploratory latent class analysis successfully identified meaningful latent classes representing distinct problem-solving patterns.
  • The proposed method demonstrates potential for uncovering hidden structures in complex process data.
  • Simulation studies confirmed the robustness and utility of the approach.

Conclusions:

  • Latent Class Analysis is a viable and effective method for analyzing complex problem-solving process data from computer log files.
  • This approach offers deeper insights into student behavior, learning trajectories, and cognitive processes.
  • The findings have implications for the design and interpretation of computer-based assessments.