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

Metacognition01:26

Metacognition

176
Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
176
Purposive Learning01:22

Purposive Learning

125
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
125
Cognitive Learning01:21

Cognitive Learning

264
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
264
Hindsight Biases01:12

Hindsight Biases

3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.4K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

172
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
172
The Nativist Approach01:21

The Nativist Approach

77
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
77

You might also read

Related Articles

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

Sort by
Same author

Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer.

Frontiers in oncology·2020
Same author

Extended transcriptome analysis reveals genome-wide lncRNA-mediated epigenetic dysregulation in colorectal cancer.

Computational and structural biotechnology journal·2020
Same author

The Impact of Social Support on Public Anxiety amidst the COVID-19 Pandemic in China.

International journal of environmental research and public health·2020
Same author

Spleen Stiffness Predicts Survival after Transjugular Intrahepatic Portosystemic Shunt in Cirrhotic Patients.

BioMed research international·2020
Same author

MoS<sub>2</sub>-on-AlN Enables High-Performance MoS<sub>2</sub> Field-Effect Transistors through Strain Engineering.

ACS applied materials & interfaces·2020
Same author

OSI-027 Alleviates Oxaliplatin Chemoresistance in Gastric Cancer Cells by Suppressing P-gp Induction.

Current molecular medicine·2020

Related Experiment Video

Updated: Jul 13, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

255

Knowledge graph empowerment from knowledge learning to graduation requirements achievement.

Yangrui Yang1, Sisi Chen1, Yaping Zhu1

  • 1Dept. of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China.

Plos One
|October 12, 2023
PubMed
Summary

This study constructs a knowledge graph to link knowledge, courses, and graduation requirements, optimizing teaching resources and enabling personalized learning for students. The approach improves student achievement of graduation requirements through enhanced understanding and targeted study.

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.0K

Related Experiment Videos

Last Updated: Jul 13, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

255
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.0K

Area of Science:

  • Educational Technology
  • Knowledge Management
  • Artificial Intelligence in Education

Background:

  • Understanding the link between acquired knowledge and graduation requirements is crucial for student success.
  • Traditional methods for analyzing this relationship are labor-intensive.
  • Outcome-Based Education principles necessitate clear connections between learning and outcomes.

Purpose of the Study:

  • To construct a hierarchical knowledge graph connecting knowledge, courses, and graduation requirements.
  • To optimize the organization and management of teaching resources.
  • To facilitate personalized, independent learning for students to meet graduation requirements.

Main Methods:

  • Knowledge extraction, fusion, and reasoning techniques were employed.
  • A transfer learning method using the EERJE multi-task framework was utilized for triadic knowledge extraction.
  • Large Language Models (LLMs) were used for knowledge reasoning and expansion.

Main Results:

  • The knowledge graph achieved an F1 value of 87.76% for triadic group extraction and 85.42% for entity classification accuracy.
  • Experimental evaluation demonstrated comprehensive data coverage and improved data quality.
  • The constructed knowledge graph effectively optimizes teaching resource management.

Conclusions:

  • The developed knowledge graph enables students to intuitively grasp the relationship between graduation requirements and knowledge points.
  • This approach supports personalized learning, strengthens weak areas, and enhances the achievement of graduation requirements.
  • This knowledge graph-enabled teaching paradigm offers significant reference value for engineering education.