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AI integration into industry academia collaboration - our school organizes a school level demonstration course guidance and exchange meeting
(Interpreter:yingyingHuang)
AI integration into industry academia collaboration - our school organizes a school level demonstration course guidance and exchange meeting
https://www.cqie.edu.cn/html/2/content/26/04/75379.shtml
Net news (article/pictureTeacher Development Center Jing zhang )On April 8th, the Teacher Development Center organized a "School level Demonstration Course Guidance and Exchange Meeting". This demonstration class revolves around two main themes: "AI teaching" and "case teaching", aiming to leverage the exemplary leading role of outstanding teachers, demonstrate teaching abilities and qualities, continuously improve classroom quality, and promote teaching reform. To assist demonstration course teachers in refining their courses and enhancing their presentation effectiveness, the conference invited Chen Ke from the Academic Affairs Office and HuiyingWang from the School of Computer and Internet of Things to serve as guest speakers. School supervisors and demonstration course teachers attended the conference, and Min Yu, Assistant Director of the Teacher Development Center, presided over the evnent.

Huiying
Wang: Building an AI Smart Classroom with 3D Paths. AI teaching aims to put
students at the center, promote the deep integration of artificial intelligence
technology with subject areas and teaching content, and guide students to
transform from knowledge receivers to creators. Huiying Wang elaborates on the
model and methods of AI driven classroom teaching from three dimensions: using
tasks as engines to drive real learning, using knowledge graphs as matrices to
construct personalized learning paths, and using intelligent agents as bridges
to achieve mutual learning and application. She shared her experience in
implementing AI technology in specific course cases, promoting the deep
integration of AI and classroom teaching through AI practice, knowledge graph,
precise learning analysis and other functions. She also delved into pain point
analysis, teaching objectives, teaching content, and the integration of
ideological and political education into the curriculum, fully demonstrating
the important role of the "AI+classroom" model in improving teaching
quality and promoting students' comprehensive development.
Ke Chen: Case based teaching empowers practical application. Case based teaching is an important part of the reform of the "three systems and four levels" application ability training model in schools, and it is also a key path for students to enhance their industry application and vocational abilities. Ke Chen systematically interpreted the definition, basic elements, and implementation steps of case-based teaching method, emphasizing the core of "learning for application" and helping students transform theoretical knowledge into practical abilities by reproducing real and complex scenarios. He relies on the OATLY case and adopts a "contrasting" narrative structure to design multi-level case conflicts. From the four dimensions of background, problem, process, and result, he comprehensively analyzes the value of the case, accurately solves practical problems, guides students to immerse themselves in deep learning, and achieves the organic integration of theory and practice
This exchange meeting provided theoretical and practical guidance for the construction of school level demonstration courses. The sharing of the two guests was led by cutting-edge concepts and supported by specific cases, providing a reference and replicable practical path for participating teachers to create demonstration classrooms and promote teaching reform. The Teacher Development Center will take this exchange meeting as an opportunity to continuously deepen the application of AI teaching and case-based teaching, promote the construction of school level demonstration courses, and assist in the high-quality development of schools.