Related Articles: The Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers
With the rapid development of information technology, knowledge graphs, as an emerging knowledge management and teaching assistance tool, are playing an increasingly important role in higher education. This article aims to explore the role of knowledge graphs and how they assist university teachers in teaching design, summarizing some methods for digital course construction based on knowledge graphs and virtualization technology.
01
What is a Knowledge Graph
A knowledge graph is a technology that expresses knowledge and its interrelationships graphically. It constructs a complex network of knowledge structures in the form of nodes and edges. In a knowledge graph, nodes represent knowledge entities, edges represent the relationships between entities, and knowledge is a collection of entities and their connotations. Knowledge graphs not only visualize knowledge systems but also utilize visualization techniques to mine, analyze, construct, and display knowledge resources and their interconnections.
Source: “AI Empowered Teaching and Project Application Advanced Training Course – New Models and Explorations in Course Construction in the New Era”
01
Basic Components of a Knowledge Graph
Nodes: Represent specific knowledge points or concepts.
Edges: Indicate the connections or relationships between knowledge points.
Knowledge: Composed of concepts and their connotations and relational connections.
02
Visualization of Knowledge Graphs
Knowledge graphs present complex knowledge systems in an intuitive manner through various graphical means, such as network diagrams and tree diagrams, making it easier for users to understand and grasp.
02
The Role of Knowledge Graphs
Knowledge graphs have multiple roles in the field of education, including but not limited to the following aspects:
01Search Engine Optimization
Knowledge graphs can be used to enhance the intelligence level of search engines, improving user search experience through intelligent recommendations and AI-generated content (AIGC).
02Teaching Resource Integration
As a means of integrating teaching resources, knowledge graphs can organize resources such as textbooks, literature, and case studies in a knowledge context, making them easier for teachers and students to use.
03Assisting Teaching Design
Knowledge graphs help teachers clarify the knowledge context of courses, form teaching ideas, and enhance the quality of teaching design.
04Personalized Learning Paths
Knowledge graphs support the design of personalized learning paths to meet the diverse learning needs of students.
03 How Knowledge Graphs Assist Teaching Design
Knowledge graphs assist teaching design mainly in the following aspects:
01Construction of Course Knowledge System
In constructing a course knowledge system, knowledge graphs serve as a powerful tool to help teachers clarify the knowledge points of the course and their logical relationships. By constructing a knowledge graph, teachers can concretize abstract knowledge points, forming a visual knowledge structure that helps students better understand course content.
[Case Analysis]
For example, in a course on “Computer Science and Technology,” a teacher can create a knowledge graph that includes core knowledge points such as algorithms, data structures, and operating systems. In this graph, each knowledge point is a node, and the lines connecting the nodes represent their logical relationships. For instance, data structures can be a prerequisite knowledge point for algorithms, while operating systems can be a supporting knowledge point for software engineering. In this way, students can clearly see the connections between various knowledge points, allowing them to systematically master the course content.
02In-depth Exploration of Teaching Content
Knowledge graphs can not only help teachers construct course knowledge systems but also promote in-depth exploration of teaching content. Through knowledge graphs, teachers can present knowledge points from different angles and levels, enabling students to understand comprehensively and master knowledge deeply.
[Case Analysis]
For example, in a course on “History,” teachers can use knowledge graphs to connect historical events, figures, cultures, and other elements. For instance, connecting “Renaissance” as a central node to figures like “Dante” and “Da Vinci,” as well as concept nodes like “Humanism” and “Scientific Revolution.” In this way, students can not only learn the basic facts of the Renaissance but also gain a deeper understanding of its cultural significance and historical impact.
03Innovation in Teaching Methods
The application of knowledge graphs can also stimulate innovation in teaching methods. Teachers can use knowledge graphs to explore new teaching methods such as case teaching and problem-based learning, enhancing the interactivity and effectiveness of teaching.
[Case Analysis]
In an “Economics” course, teachers can create a knowledge graph that includes different economic theories, models, and real-world cases. Using this graph, teachers can design problem-based learning activities, allowing students to solve real-world problems by exploring the nodes and connections in the knowledge graph. For example, students can analyze the relationships between different economic theories to explain current economic phenomena or compare different economic models to predict future economic trends. This teaching method not only increases student engagement but also helps them integrate theoretical knowledge with real-world issues, enhancing their problem-solving abilities.
04 Methods for Digital Course Construction Based on Knowledge Graphs and Virtualization Technology
With the development of virtualization technology, digital course construction has become an important direction for innovation in higher education. The methods for digital course construction based on knowledge graphs mainly include the following steps:
01Course Positioning and Value Analysis
In the course positioning and value analysis stage, teachers need to clarify the educational objectives, learning outcomes, and expected improvements in student abilities. This step is the basis for ensuring that course content is closely aligned with student needs, disciplinary development, and the job market.
[Example]
For a course on “Modern Biotechnology,” teachers first need to determine that the course aims to cultivate students’ theoretical knowledge of biotechnology and experimental skills. The value of the course lies in emphasizing the applications of biotechnology in medicine, agriculture, and environmental science, as well as fostering students’ innovative thinking and ability to solve practical problems.
02Knowledge Graph Construction
Constructing a knowledge graph is the process of systematically organizing course content, clearly displaying knowledge points and their interrelationships, providing a structured framework for teaching.
[Example]
In the “Modern Biotechnology” course, teachers can construct a knowledge graph that includes key areas such as gene editing, cell culture, and biopharmaceuticals. Each area serves as a main node, further connecting to specific technical methods, experimental procedures, ethical and legal issues, forming a comprehensive knowledge network.
03 Integration of Teaching Resources
The teaching resource integration stage requires teachers to combine knowledge graphs with various teaching resources, forming a rich and diverse teaching material library.
[Example]
For the “Modern Biotechnology” course, teachers can integrate resources such as online open courses (MOOCs), interactive simulation experiments, expert interview videos, and academic papers. For instance, in the teaching unit on gene editing technology, teachers can provide simulation software for CRISPR-Cas9 technology, allowing students to perform gene editing operations in a virtual environment.
04 Implementation of Teaching Design
In the teaching design implementation stage, teachers need to develop specific teaching plans and methods based on the knowledge graph to ensure the effectiveness of teaching activities.
[Example]
In the “Modern Biotechnology” course, teachers can design teaching activities based on knowledge graphs, such as case studies, role-playing, and experimental operations. For example, in the biopharmaceutical unit, teachers can arrange for students to explore scientific, ethical, and legal issues in the new drug development process through role-playing activities.
05 Application of Virtualization Technology
The application of virtualization technology can provide students with a more vivid and interactive learning experience, enhancing the attractiveness and effectiveness of learning.
[Example]
In the “Modern Biotechnology” course, teachers can use virtual reality (VR) technology to create a virtual laboratory, allowing students to learn about cell culture and gene editing operations in an immersive environment. Through augmented reality (AR) technology, teachers can design interactive teaching materials, such as allowing students to see three-dimensional cell structures or gene sequence animations by scanning images in textbooks, thereby deepening their understanding of biotechnology concepts.
As an emerging teaching assistance tool, knowledge graphs provide university teachers with a new teaching design concept and method. Through knowledge graphs, teachers can more effectively organize teaching content, innovate teaching methods, and enhance teaching effectiveness. At the same time, combined with digital technology, the application of knowledge graphs in digital course construction provides broad space for the innovative development of higher education.
Source: Excellent National TrainingNote: The above content is for sharing, copyright belongs to the original author and source. The content represents the author’s views and does not necessarily reflect the views of this public account or its authenticity. If there are any copyright issues, please contact us for deletion, Teacher Li: 13716398385
Recent Training Courses
01
October 18, Beijing (Online Live) Smart Future: AI-led Innovation Workshop for University Courses and Classroom Teaching
02
November 1, Xiamen (Online Live) Knowledge Graph Empowering Course Ideology (Classroom Teaching Innovation, Demonstration Project Application, Teaching Competition) Advanced Training Class
03
October 25, Hangzhou (Online Live) Full Process of Cultivating Smart Courses in Universities and Deep Integration of Artificial Intelligence in Innovative Blended Teaching Workshop
04
October 25, Chengdu (Online Live) The Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers
05
November 1, Nanjing (Online Live) Using AI Tools to Assist University Teachers in Academic Paper Writing, Data Analysis, and Full Process Training for Submission and Publication
06
October 18, Chongqing (Online Live) AI Empowering University Teachers’ Research Creation: Practical Workshop on Project Application, Paper Writing, and Data Analysis Material Development
07
November 15, Changsha (Online Live) Design and Production of All Elements for University Teaching Competition PPT (National Award Level)
❤Warm Reminder❤: Today’s article ends here~ Recently, the WeChat public account information flow has been revised. Each user can set frequently read subscription accounts, which will be displayed in a large card format. Therefore, if you don’t want to miss the articles from the “University Teacher Professional Development Alliance,” you must perform the following operation
: Enter “University Teacher Professional Development Alliance” public account → Click the upper right corner 「menu」→ Select “Set as Starred
“
If you need past courseware/articles from the public account, please add Teacher Li’s WeChat on the right to obtain
→
Click the little flower to let them know you“are watching” me