Gulou District, Fujian Province explores human-machine collaboration in the entire process of "preparation-teaching-learning-evaluation-research"

Gulou District, Fujian Province explores human-machine collaboration in the entire process of "preparation-teaching-learning-evaluation-research"

In recent years, with the rapid development of artificial intelligence technology, the field of education is ushering in a profound change. As a pioneer in educational informatization, Gulou District, Fuzhou City, Fujian Province actively explores the human-machine collaboration model of the entire process of "preparation-teaching-learning-evaluation-research" and has achieved remarkable results. This article will analyze the innovative practices of Gulou District in this field based on the popular topics and hot contents of the entire network for the past 10 days.

1. Background and hot trends

According to the network-wide data monitoring in the past 10 days, popular topics in the field of education are mainly focused on "AI+Education", "Personalized Learning", and "Smart Classroom". The following is a structured display of some hot data:

It can be seen from the data that Fujian Province is active in the field of education informatization, especially the "human-machine collaboration" model in Gulou District has attracted much attention.

2. Exploration of the entire process of "preparation-teaching-learning-evaluation-research" in Gulou District

By integrating artificial intelligence technology, Gulou District has built a human-machine collaboration system covering the entire teaching process, which specifically includes the following five links:

1. Preparation session (preparation)

Teachers use AI lesson preparation platform to quickly generate personalized lesson plans. The platform can recommend teaching resources based on student learning data, saving teachers' time to prepare lessons. According to statistics, the average lesson preparation efficiency of teachers in Gulou District has increased by 30%.

2. Teaching link (teaching)

In classroom teaching, AI assistants assist teachers in real-time monitoring of students' attention, answering questions and other data, and dynamically adjust the teaching rhythm. For example, in a mathematics classroom in a primary school in Gulou District, the AI ​​system can automatically identify students' confusion points and push targeted exercises.

3. Learning link (learning)

Students obtain personalized learning content through intelligent learning terminals. The system dynamically generates learning paths based on students' knowledge mastery. Data shows that students' after-class practice accuracy increases by 15% on average.

4. Evaluation link (comment)

Gulou District adopts AI+ big data analysis technology to achieve full evaluation of students' learning process. The following is a comparison of data for some evaluation indicators:

5. Teaching and Research Section (Research)

The AI ​​teaching and research platform can automatically analyze teaching data and generate teaching improvement suggestions. Teachers in Gulou District carry out online teaching and research activities through the platform, and the teaching and research efficiency is increased by 40%.

3. Results and future prospects

The human-machine collaboration model in Gulou District has achieved remarkable results: the average student scores have increased by 12%, and the work burden of teachers has been reduced by 25%. In the future, Gulou District plans to further deepen the application of AI technology and create a "smart education demonstration zone".

Through the human-machine collaboration of the entire process of "preparation-teaching-learning-evaluation-research", Gulou District has provided valuable experience for the informatization of education across the country. This model not only improves teaching efficiency, but also opens up new paths for personalized education.