Paper
4 September 2024 Classroom AI question-answering system based on machine reading comprehension model
Mei Qian, Qunqiang Chen, Rujuan Huang, Hao Zheng, Chen Chen
Author Affiliations +
Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 1325914 (2024) https://doi.org/10.1117/12.3039578
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China
Abstract
With the continuous development of meta-universe technology, people have started to explore the teaching mode of "meta-universe + education". The new teaching mode of "three-teacher classroom" constructed by meta-universe is mainly composed of virtual digital human teachers, intelligent robot teachers and human teachers, which can realize the collaborative teaching of teachers in the virtual world and the real world and carry out classroom teaching simultaneously. Users can learn and explore in the virtual world, while receiving personalized tutoring in the real world to enhance learning. The educational meta-universe can obtain a large number of high-quality educational resources across the time and space constraints, and provide immersive learning environment and personalized teaching support, so as to reduce the pressure of human teachers, give full play to the role of human teachers in the physical and mental development and ability training of students, so as to promote innovation in the field of education and promote the high-quality development of education.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mei Qian, Qunqiang Chen, Rujuan Huang, Hao Zheng, and Chen Chen "Classroom AI question-answering system based on machine reading comprehension model", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 1325914 (4 September 2024); https://doi.org/10.1117/12.3039578
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KEYWORDS
Artificial intelligence

Evolutionary algorithms

Data modeling

Design

Education and training

Genetic algorithms

Instrument modeling

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