Introduction
At the 2023 World Digital Education Conference, Minister of Education Huai Jinpeng pointed out the need to strengthen data empowerment, promote scientific and personalized teaching evaluation, and use massive data to form learner profiles and educational knowledge graphs, thereby better realizing tailored education.
Knowledge graphs have become one of the popular technologies in the field of artificial intelligence in recent years. Through knowledge graphs, large amounts of data and knowledge can be integrated into structured graphs. To adapt to the growing and changing teaching needs and the development of the information age, traditional educational forms are being reformed. Super Star Company and Chongqing University of Humanities and Technology have reached a deep cooperation to jointly build knowledge graphs, providing a new teaching and learning method for the school’s teachers and students.
To promote the deep integration of information technology with education and teaching, Chongqing Super Star has started planning the construction of knowledge graphs with the school since 2023. We rely on the school’s existing first-class majors, first-class courses, and core course construction, and have jointly carried out course construction work based on artificial intelligence knowledge graphs with the School of Marxism, the School of Literature and Journalism, and the School of Mechanical and Information Engineering at Chongqing University of Humanities and Technology.
Conference Image
We have jointly launched 16 courses that integrate knowledge graphs. This batch of AI shared courses deeply implements the integration of information technology with education and teaching, innovates teaching models, and promotes deep reform in classroom teaching.
Using Super Star knowledge graph technology, the teaching team systematically organizes and classifies fragmented knowledge points in the discipline and transforms them into structured data and relationships, achieving visualization of knowledge and effective links between resources. In addition, Super Star’s knowledge graph breaks the boundaries between disciplines, promotes interdisciplinary collaboration and research, opens up broader learning horizons and opportunities for students, and quickly adapts to new forms of teaching. At the same time, Super Star’s knowledge graph technology can also be combined with AI recommendation algorithms to provide personalized education for each student based on their mastery of knowledge points, plan learning paths, and display learning status, thus achieving tailored teaching.
Let’s take a look at the situation of these 16 courses based on the Super Star Pan-Ya platform for knowledge graph construction!
School of Marxism
First, the course team organizes relevant knowledge in the subject areas of the five courses. By collecting and organizing this knowledge, modeling and classification are performed to establish a comprehensive and systematic knowledge base on the Super Star Pan-Ya platform, which can construct the relationships between knowledge, forming directed or undirected edges, thereby better presenting the details and characteristics of the knowledge.
At the same time, the course team has established connections between the question bank, assignments, exams, and the knowledge graph, meaning that when students practice and assess, they can directly relate to the corresponding knowledge points. This not only helps students quickly locate and review relevant knowledge when encountering difficulties but also facilitates teachers in tracking students’ learning progress and depth of understanding, thus providing more targeted guidance and support.
Knowledge Graph
School of Literature and Journalism
The course team closely associates the knowledge points of four courses with course resources, establishing connections between the question bank, assignments, exams, and the knowledge graph, providing a more dynamic and interactive learning environment for education and teaching. In addition, teaching videos are directly linked to specific knowledge points, and teachers can utilize the vast resources of the Super Star platform to add Super Star books, journals, and other resources under the knowledge points, greatly enhancing the depth and breadth of traditional teaching content.
Super Star Intelligent Learning Companion
On this basis, the course team utilized some application tools developed by Super Star’s knowledge graph AI, such as intelligent search and learning assistance, to provide better support for teaching and student learning.
School of Mechanical and Information Engineering
The course teaching team, guided by the OBE concept, promotes the digital transformation and upgrading of the course, using rich digital teaching resources to drive teaching reform and improve talent training quality.
To solve the teaching difficulties of mastering professional course knowledge and exploring learning paths, accelerate the deep integration of subject education and professional education, the course teaching team restructured the course content, organized knowledge points, and constructed a course knowledge graph. Some knowledge points in seven courses have established cross-course associations. By visualizing the knowledge graph, students can break the boundaries of courses during the learning process, learn to integrate knowledge, and greatly increase their interest in learning.
Custom Analysis Function
Future Prospects
The establishment of the course knowledge graph signifies a leap from the MOOC and SPOC course phase to the knowledge graph AI course phase, representing a proactive exploration in response to the digital education transformation. It focuses on the mastery, application, and innovation of each knowledge point, emphasizing learning quality and effectiveness, making knowledge “visible” and “clear.”
This collaboration with Chongqing University of Humanities and Technology in building a course knowledge graph will lay the foundation for subsequent professional graphs. By leveraging the platform’s multidimensional data analysis capabilities, it will improve interdisciplinary integration, dynamically adjust professional construction, innovate talent training models, and further collaborate to achieve comprehensive reform and innovation in education.
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