Titlebook: Artificial Intelligence in Education and Teaching Assessment; Wei Wang,Guangming Wang,Baoju Zhang Book 2021 The Editor(s) (if applicable)

TOXIN

A Review of Attention Detection in Online Learning,ine, due to the lack of real-time interaction between teachers and students, it is easier to produce a state of inattention. Therefore, this paper focuses on analyzing the process of detecting attention technology based on artificial intelligence methods in the Internet learning scenario. Meanwhile,

tinnitus

AGOG

A Summary of Text Classification Technology and Its Application in Teacher Language Classification,esearch issue, and has been applied in many fields, such as education. In education, teachers’ teaching language is an important means of transferring knowledge to students. Teacher language classification is of great significance to teaching evaluation and can effectively improve the teaching quali

debris

Construction of Teacher-Student Interaction Evaluation Index System for High School Mathematics Conics teaching, concepts are the core of mathematics knowledge. Moreover, concept assimilation is the essential learning approach for senior students to acquire mathematics concepts. Therefore, this study constructed the Teacher-Student Interaction Evaluation Index System for High School Mathematics C

可以任性

琐碎

Eye Tracking and Its Applications in the Field of Intelligent Education,gnition by recording their eye movement data, which can provide support for research on intelligent education. This paper mainly analyses and summarizes commonly used eye movement metrics, principles of eye-tracking technology, and applications of eye-tracking research in the field of intelligent ed

Exaggerate

Personalised Material and Course Recommendation System for High School Students,ion in various learning institutions has been on the steady rise, especially in online learning settings. With advancements in artificial intelligence technologies, research into how to use technology to improve education systems has gained a lot of traction and is changing the way that learning ins

abracadabra

改良

Teacher Award Prediction Based on Machine Learning Methods,the application of machine learning methods in teacher award prediction problem. The content of this chapter is mainly divided into five parts: The first part mainly introduces the development status of artificial intelligence in the field of education; The second part mainly introduces some common

Oratory

,A Study of the Current Status of Teachers’ Core Qualities and Abilities and the Importance of Theiried sampling was carried out for 4,903 teachers from 36 primary and secondary schools in 8 districts of Tianjin, China, with 4,661 valid samples. Reliability and validity analysis, descriptive statistical analysis, and confirmatory factor analysis were conducted. In combination with machine learning