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

Structuralism01:26

Structuralism

630
Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He...
630
Structures of Solids02:22

Structures of Solids

14.1K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
14.1K
Castigliano's Theorem: Problem Solving01:14

Castigliano's Theorem: Problem Solving

642
The deflection of a simply supported beam that carries a central point load can be analyzed using structural mechanics principles, particularly by applying Castigliano's theorem. This theorem relates the displacement at the load application point to the partial derivatives of the strain energy in the structure. The simply supported beam with a point load at its center has symmetric reaction forces at the supports, each bearing half of the load. The bending moment at any point along the beam...
642
Internal Loadings in Structural Members: Problem Solving01:28

Internal Loadings in Structural Members: Problem Solving

1.3K
When designing or analyzing a structural member, it is important to consider the internal loadings developed within the member. These internal loadings include normal force, shear force, and bending moment. Engineers can ensure that the structural member can support the applied external forces by calculating these internal loadings.
To illustrate this, let's consider a beam OC of 5 kN, inclined at an angle of 53.13° with the horizontal and supported at both ends. Determine the internal...
1.3K
Modeling and Similitude01:12

Modeling and Similitude

266
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
266
Structural Classification of Joints01:20

Structural Classification of Joints

3.4K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.4K

You might also read

Related Articles

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

Sort by
Same author

An Emergency-deployable Albumin-enhanced NLR Derived by Machine Learning Improves Risk Stratification in Lung Cancer: A Multicenter Cohort Study.

In vivo (Athens, Greece)·2026
Same author

Transcriptome-Guided Identification of Sarcosine as a Protective Metabolite in Experimental Colitis.

The Tohoku journal of experimental medicine·2026
Same author

From motivation to literacy: Chain mediation of learning habits and mathematical reasoning in mathematical literacy development.

Acta psychologica·2026
Same author

Temperature-dependent ion migration underlies sequence-specific collapse of unstructured RNA.

Biophysical journal·2026
Same author

Current trends and future directions of artificial intelligence in lung cancer diagnosis.

Chinese journal of cancer research = Chung-kuo yen cheng yen chiu·2026
Same author

CircClint1/miR-378b/NPDC1 axis: A novel therapeutic target and biomarker for myocardial infarction.

Life sciences·2026
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: Jun 30, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K

Developing a cognitive model of solid geometry based on Interpretive Structural Modeling method.

Heyang Zhang1, Xiaopeng Wu2,3, Mingyue Ju2

  • 1School of Mathematics and Statistics, Northeast Normal University, Changchun, China.

Heliyon
|March 18, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for building cognitive models in education using Interpretive Structural Modeling (ISM). The developed cognitive model for solid geometry offers a clear structure for personalized adaptive learning systems.

Keywords:
Adaptive learning systemCognitive modelInterpretive structural modeling (ISM)Mathematics educationOnline learning

More Related Videos

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

10.8K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K

Related Experiment Videos

Last Updated: Jun 30, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K
The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

10.8K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.2K

Area of Science:

  • Education
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Personalized learning is a key goal in modern education, driven by advancements in AI.
  • Adaptive learning systems are crucial for personalized education, with cognitive models forming their core.
  • Existing methods for constructing cognitive models lack uniformity and operational efficiency.

Purpose of the Study:

  • To develop a standardized and effective method for constructing cognitive models.
  • To create a cognitive model for high school solid geometry using a novel approach.
  • To investigate the structure and primary learning paths within high school solid geometry.

Main Methods:

  • Interpretive Structural Modeling (ISM) was employed as the foundational methodology.
  • 17 cognitive attributes of high school solid geometry were identified through literature review and expert consultation.
  • A questionnaire survey of 40 experts was conducted to map attribute relationships, followed by ISM application and model refinement.

Main Results:

  • A seven-level cognitive model was initially generated using ISM.
  • Expert feedback led to a revised, final cognitive model for solid geometry.
  • The final model identified three primary learning pathways within high school solid geometry.

Conclusions:

  • Interpretive Structural Modeling (ISM) provides an effective and objective approach for cognitive model construction.
  • The developed cognitive model offers insights into the content structure of high school solid geometry.
  • This research presents an innovative perspective on building cognitive models for adaptive learning.