Exhibition of 18 Application Cases of "Artificial Intelligence + Higher Education" Announced by the Ministry of Education of the People's Republic of China

In order to deeply implement the strategic plan of the State on carrying out the "Artificial Intelligence +" action, actively promote the integration and development of higher education and artificial intelligence technology, and use intelligent technology to support the innovation of talent cultivation mode, the reform of teaching methodology, and the enhancement of educational governance capacity, the Department of Higher Education of the Ministry of Education organized the first batch of "Artificial Intelligence + Higher Education" typical application scenarios to collect and validate cases. The Department of Higher Education of the Ministry of Education has organized the first batch of cases of typical application scenarios of "Artificial Intelligence + Higher Education" to seek, discover and promote representative and forward-looking cases of higher education practices that can have a positive impact on the application of AI technology.

The first cases were identified after declaration by universities and expert verification. The following were announced by the Ministry of Education18 "Artificial Intelligence + Higher Education"Typical examples of application scenarios.

Peking University Case

Peking University Dental Virtual Simulation Intelligence Laboratory is a multi-dimensional intelligent integrated virtual simulation training laboratory supported by virtual simulation technology and big data, and integrating intelligent IOT, intelligent management, intelligent learning and assessment.

The laboratory is divided into a lecture area, an online training area and a virtual simulation training area. Among them, the online training area can carry out online virtual simulation experimental teaching and automated assessment, and the virtual simulation training area can carry out multi-type virtual simulation training and assessment with force feedback.

Tsinghua University Case

Tsinghua University utilizes GLM4, a large model of hundreds of billions of parameters independently developed with independent intellectual property rights, as a platform and technical base to carry out pilot work for eight courses. Using the existing teaching data, open papers, catechism resources and other materials, on the basis of GLM4, the vertical domain models of different courses are formed through fine-tuning, and the exclusive AI teaching assistants are developed to realize the functions of example generation, automatic questioning, Q&A, arithmetic reasoning, and evaluation and guidance.
Wisdom Spectrum Clear Speech: developed based on the ChatGLM bilingual big model, it is pre-trained with trillions of characters of text and code, combined with supervised fine-tuning technology, and has the ability of generalized Q&A, multi-round dialog, creative writing, code generation, virtual dialog, AI drawing, document and picture interpretation, and so on.

Case of Beijing University of Aeronautics and Astronautics

The case of "Artificial Intelligence-enabled Full-Course Interactive Online Teaching Platform" is based on artificial intelligence technologies such as generative big model and deep machine learning, which connects teachers' various teaching links online and offline, realizes the closed loop of the whole learning process of pre-course pre-study - in-course study - post-course review - and Q&A of the course, and digitally processes the recorded course resources with the 323 smart classrooms covered in the school as the basic pedestal.
Supported by the conditions of the whole-process online teaching platform, a 24/7 accompanying knowledge intelligent Q&A assistant has been developed to solve all the problems in the students' learning process in real time.

Beijing Institute of Technology Case

The case of "Knowledge Map-driven Intelligent Teaching System Construction and Application" covers "one core, four platforms, and N scenarios", and establishes a professional knowledge map construction and service system. The case covers "one core, four platforms, and N scenarios", establishing a professional knowledge map construction and service system. It forms the knowledge core of intelligent education, customizes and develops "Lexue platform, Yanhe classroom, academic big data analysis, and teaching system", forming the platform support of intelligent education, and customizes and develops "Abit" robot, establishing a new mode of knowledge service and interaction. The customized development of "Abbott" robot establishes a new knowledge service and interaction mode.
Knowledge graph technology is driving the construction and application of smart teaching systems. The system can help educators efficiently organize teaching content while providing students with customized learning paths and resources, greatly enriching teaching methods and learning experiences.

Case of Beijing University of Posts and Telecommunications

The "Code" platform - utilizing advanced big model technology - injects the power of intelligence into programming education. The platform builds a new intelligent programming learning environment for teachers and students with the help of powerful big model technology. It not only enables teachers to teach programming knowledge more efficiently, but also allows students to understand the essence of programming through hands-on practice and interactive experience. The highlight of "Code" is one-on-one tutoring, which provides intelligent tutoring such as code correction, Q&A and code explanation.

Beijing Normal University Case

Beijing Normal University's innovative "AI" classroom teaching intelligent evaluation system, the smart classroom adopts advanced servers, as well as intelligent cameras, intelligent audio, intelligent projection screen, etc., which can be interconnected through intelligent connection. The smart classroom is also equipped with an intelligent management system that can monitor the teaching situation in the classroom in real time and provide personalized teaching services.
The innovative "AI+" Classroom Teaching Intelligent Evaluation System is able to monitor and analyze teachers' teaching behavior, students' learning behavior, teaching content and classroom organization in real time, and quantitatively evaluate and visualize multi-dimensional indexes such as teachers' teaching style, students' concentration and teaching knowledge points.

Communication University of China Case

AIGC empowers traditional culture inheritance and innovation - There are many ways to integrate AI big models with traditional culture, for example, after AIGC has acquired a large amount of traditional culture corpus, it can digitally restore the content of certain traditional culture forms that are on the verge of being lost, so that these traditional culture contents or forms can be better protected. For example, after AIGC has acquired a large amount of traditional cultural corpus, it can restore the contents of certain endangered traditional cultural forms in the form of digitization, so that these traditional cultural contents or forms can be better protected.

Furthermore, AIGC can be used throughout the entire creative process to promote digital transformation and innovation in cultural creativity.

Thirdly, AIGC can be innovative in mode, form and technology. For example, the mode of practice is teaching, the course is a project, and the experience is education; the form can be "flipped classroom + results-oriented + intelligent efficiency"; and the technology has AI editing, AI painting system and so on.

Harbin Institute of Technology Case

With the help of AI technology, they have launched a program for teaching electrical and electronic labs. The project uses AI technology to provide learners with a more interactive and personalized way of learning, aiming to improve the teaching effectiveness of educators as well as the learning efficiency of students. From the creation of a remote online laboratory teaching platform to the introduction of an intelligent teaching assistant system to the production of a virtual digital human teacher, AI technology is accelerating its integration into the entire process of platform construction, teaching resource production, and laboratory teaching.

Students can do the pre-course study of "Inorganic and Analytical Chemistry" through the AI learning system, and according to the answers of the AI teaching assistants, students will have a clearer understanding of the key points and difficulties of the course they are studying. As the lecturer of the course, professors from the School of Chemical Engineering and Chemistry will give focused lectures in the offline smart classroom based on the feedback from students in the process of independent learning.

East China Normal University Case

The Suisun Online platform, as a large-scale personalized digital literacy enhancement project for all, integrates teaching, learning, practicing, testing, evaluating, and creating, forming a comprehensive learning community dedicated to providing educators with a customized teaching experience. The platform is able to meet the learning needs and interests of students from different backgrounds while effectively enhancing their digital literacy levels.

Southeast University Case

University Physics Course Intelligent AI Teaching Assistant System uses artificial intelligence technology to empower the teaching of the University Physics course, and the AI teaching assistant can realize:

• The visualization of knowledge is achieved by creating a knowledge map of the university physics course, which helps students to construct a complete and accurate knowledge system;
• Through the knowledge points associated with all kinds of teaching resources, as well as student information and learning data records to form an accurate student profile, to achieve personalized resource recommendations and learning guidance;
• Teachers can better understand students' learning status and learning needs, and adjust and improve teaching strategies in a timely manner; human-computer dialogue realizes learning accompaniment and intelligent Q&A, and stimulates students' learning interest and internal drive.

Zhejiang University Case

"Zhihai Platform" opens a new generation of science education platform, precisely empowering micro-course teaching. Focusing on micro-course teaching, Zhihai Platform is committed to helping educators design and implement more precise and efficient teaching content, which in turn significantly improves students' learning efficiency and motivation. There are 3 major hotspots of Zhihai's new generation science education platform:

• The integration of digital teaching resources centered on knowledge points organizes teaching resources such as videos, audios, practical training cases and PPTs according to knowledge points to form structured resources.
• The interactive hands-on training platform, Zhihai-Mo (momodel.cn), provides interactive immersive teaching, learning-by-doing operational experience and low-threshold online model development.
• Intelligent education big model Zhihai-Sanle (sanle.hep.com.cn), using artificial intelligence technology to provide learners with personalized learning functions such as real-time Q&A and learning resources recommendation, and provide services to the public through the cloud service platform of Higher Education Society.

Case of Huazhong University of Science and Technology

Huazhong University of Science and Technology (HUST) is building an intelligent academic warning and collaborative support mechanism, which aims to warn students of academic risks and provide timely collaborative support through advanced data analysis and intelligent technology to help each student grow healthily. This system provides targeted help to students through accurate data analysis and personalized interventions. Based on the historical big data of course grades, the school has used AI technology to establish an intelligent academic early warning model and early warning system, which can intelligently analyze students' learning situation, predict students' academic situation in the current semester, and provide graded early warnings on students' problems and difficulties in learning, helping the school to accurately carry out the work of academic guidance and assistance.

Case of Huazhong Agricultural University

Wisdom laboratory experimental teaching management system integrates virtual simulation experimental teaching, wisdom experimental teaching, wisdom internship teaching, wisdom laboratory management, etc. Through this system, teachers can push the demonstration platform screen and courseware materials to the big screen and student interactive terminal display, students do not need to watch, can clearly watch the whole process of demonstration and courseware materials.

You can view the experimental screen of each experimental station in real time, grasp the level of student practice, give targeted guidance, and realize differentiated teaching. Teachers can also arbitrarily access the experimental screen of multiple experimental stations and push it to the intelligent big screen and student interactive terminals for display and comparative teaching. Teachers and students automatically record and upload the operation process to the platform, realizing the whole process of experimental teaching back, and promoting the precipitation of professional course resources. Teachers on the podium can simultaneously view the practical operation screen of students, the system can also collect teachers and students experimental classroom teaching activities, through the AI intelligent statistical analysis, automatically generate classroom teaching data, to provide visual data support for teaching, research and classroom evaluation.

Case of Central China Normal University

The Xiaoya platform creates a new scene of intelligent learning, which is characterized by intelligence, integration, data and openness, and empowers the whole process of teaching and learning with artificial intelligence. "Xiaoya is a cloud-integrated intelligent education SPOC platform independently developed by Central China Normal University. Relying on cutting-edge AI technology, Xiaoya can assist educators in creating vivid and engaging learning scenarios, which greatly enhances students' participation and learning experience.

The platform builds a hybrid teaching and learning environment composed of modules such as course knowledge mapping, intelligent Q&A, and intelligent recommendation, and forms a data-driven service system of preparation, teaching, learning, testing, evaluation, supervision, and management. It realizes the materialization of teaching theory, standardization of teaching design, data-based teaching behavior, and accurate teacher evaluation, and promotes the deep integration of emerging technologies such as big data and artificial intelligence with higher education teaching.

Xi'an Jiaotong University Case

Xi'an Jiaotong University is the first university to create a digital platform for real-time monitoring of teaching quality and a new teaching management mechanism of the 'Four Essential Modes' of collection, evaluation, supervision and assistance. Xi'an Jiaotong University real-time monitoring of teaching quality big data platform through the information collection, evaluation, supervision, feedback mechanism, the establishment of intelligent big data analysis of various elements affecting the quality of classroom education and teaching, providing users with the whole process of teaching classroom quality supervision information services.

Xi'an Electronic Science and Technology University Case

At Xi'an University of Electronic Science and Technology, the AI-enabled supervision model is becoming a new engine for improving teaching quality. This model helps educators monitor and evaluate the teaching process more accurately through intelligent means, so as to achieve continuous optimization of teaching methods and strategies.

In response to the traditional supervision mode of online and offline courses separate supervision, evaluation is not comprehensive enough, the lack of data analysis and other issues, Xi'an University of Electronic Science and Technology using artificial intelligence, big data and other digital technologies to build a "two-end integration" of the classroom teaching intelligent supervision center, to meet the online and offline all-round real-time monitoring of the quality of teaching needs.

Case of Northwest A&F University

The case of Northwest Agriculture and Forestry University (NWAFSU) focuses on the practical part of the project, which is called "Crop Intelligent Production Practice". Crop production environment is complex and variable, and limited by agricultural time factors, agricultural information collection and processing, production decision-making and operation of the digital upgrade of intelligence faces many challenges. Aiming at the problems of inefficient monitoring of agricultural situation, experience-dependent decision-making and inefficient and ineffective operation of agricultural machinery in crop production, Northwest A&F University has set up a whole set of system centered on "Artificial Intelligence + Crop Production".

Specifically, the overall framework is based on the three modules of three-dimensional perception of agricultural information, digital design of farming systems and precise operation of farmland management, relying on intelligent perception equipment such as remote sensing systems and sensors of unmanned aircraft, computing and demonstration platforms such as big data processing, mining and visualization systems, as well as agricultural robots, agricultural drones and other intelligent operation equipment, to carry out intelligent crop production practice, and to cultivate students' practical abilities and innovative literacy in the areas of efficient collection of agricultural data, information mining and production decision-making, intelligent operation and so on. Efficient collection, information mining and production decision-making, intelligent operation and other aspects of practical ability and innovation literacy.

The case of the National Open University

The case study selected by the National Open University is "Innovative Practice of Personalized English Teaching with Big Models Based on AI Technology". With more than 3 million English learners each year and diversified learning needs, English teaching requires full interaction, timely feedback and personalized learning support services.

Based on Xunfei's big model, the National Open University has built a large-scale personalized wisdom teaching system, which includes:

• Intelligent English speaking training system that gives timely feedback from different dimensions;
• Intelligent grading system for English essays, providing timely review and revision suggestions;
• Customizing Virtual Teacher Course Resources and Exploring a New Generative Teaching Resource Production Model;
• Creating an adaptive learning system for degree English based on knowledge mapping, students can learn independently according to their individual needs;
• AI Virtual Teacher Intelligent Question and Answer, which can demonstrate the associated knowledge points and cited resources for specialized knowledge questions while providing twenty-four hour learning knowledge services.

The case of "Artificial Intelligence + Higher Education" will greatly enrich the teaching resource base of educators, and at the same time provide students with a more efficient and personalized learning path. With the continuous development of science and technology, it is believed that the future of education will become more intelligent and personalized to meet the diverse needs of learners. With the assistance of artificial intelligence technology, education and teaching will be diversified and innovative, and AI will be widely used in education and teaching, bringing infinite possibilities for the country to cultivate high-quality talents.