Shulou(Shulou.com)06/02 Report--

With the continuous expansion of the application field of artificial intelligence, AI technology is considered to be one of the important means to change the existing educational scene.

From the perspective of the large scene, teaching, management and evaluation are the three main application directions.

In terms of details, through image recognition technology, teachers can be freed from correcting homework and marking papers; through speech recognition and semantic analysis technology, teachers can be assisted in oral test and evaluation and students' English pronunciation can be corrected; through human-computer interaction technology, teachers can help teachers to answer students' questions.

Most importantly, the combination of AI technology and education may make the educators' dream of "teaching students in accordance with their aptitude" come true for thousands of years, and then really improve the core issues such as the quality, efficiency and fairness of our education.

Of course, a large number of personalized teaching in accordance with their aptitude is not an easy thing, to achieve accurate matching, behind the need for the support of the data tagging industry.

AI technology gives education the hope of changing from "a thousand people" to "a thousand people", but how to collect and use the data of "a thousand people" has become a big problem. Through the application of artificial intelligence technology in all aspects of education, comprehensive data of various types of students can be collected.

These data will be marked and processed by the data labeling industry to meet the needs of relevant algorithm analysis, so that the machine has cognitive ability, so as to plan the learning path for students according to their situation, and achieve the purpose of personalized education.

The specific applications of data tagging in the field of AI education are as follows:

one。 2D pull box

Mark the teacher and the listener:

two。 Polygon

Mark the people in the picture:

three。 Video annotation

Mark the characters in the video

The above data are related to face and other more private content, so data security is also a factor that needs to be considered in the labeling process.

Take Manfu Technology as an example, in the specific labeling process, Manfu Technology will prevent data leakage through asymmetric encryption and storage, while supporting private cloud deployment to avoid potential data risks.

In the information age, cultivating innovative talents is an important task of the current education system.

The natural language processing ability, data collection and analysis ability of artificial intelligence can be used to analyze students' learning behavior and customize suitable learning methods for students according to their strengths and disadvantages. to achieve the real one-to-one personalized teaching and cultivate more innovative talents for the society.

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