Welcome to Francis Academic Press

Frontiers in Educational Research, 2023, 6(11); doi: 10.25236/FER.2023.061105.

Research on Artificial Intelligence Promoting the Reform of Weak Schools Education and Teaching

Author(s)

Jinxin Wei1, Yuantao Jiang2

Corresponding Author:
Yuantao Jiang
Affiliation(s)

1Faculty of Education, Yunnan Normal University, Kunming, 650500, China

2Yunnan Education Cadre Training Center, Yunnan Normal University, Kunming, 650500, China

Abstract

Artificial intelligence provides new opportunities for the reform of weak schools. Based on the fact that weak schools have their own limitations in the reform path of weak schools, this paper starts from the important new era technical factor of artificial intelligence, and uses its value orientation of "precision", "empowerment" and "reshaping" in the reform of weak schools to propose a path for artificial intelligence to promote the reform of weak schools: creating an intelligent environment, home-school collaborative education, a new paradigm of classroom teaching, intelligent training for teachers, a new pattern of student learning, and multimodal education evaluation.

Keywords

Artificial intelligence; Weak schools

Cite This Paper

Jinxin Wei, Yuantao Jiang. Research on Artificial Intelligence Promoting the Reform of Weak Schools Education and Teaching. Frontiers in Educational Research (2023) Vol. 6, Issue 11: 23-28. https://doi.org/10.25236/FER.2023.061105.

References

[1] Wang Yulong, Wang Dianli. Demand identification, data governance and accurate supply-the way of reform on the supply side of basic public services [J]. Academic Forum, 2018, 41(02):147-154.

[2] Yao Yongqiang, Fan Xianzuo. Endogenous development: weak school transformation path selection [J]. China Journal of Education, 2013(04):37-40.

[3] Peng Shaodong. Definition and principle mining of artificial intelligence education [J]. China Audio-visual Education, 2021(06):49-59.

[4] Zhang Hua, Hu Huizhi, Yang Gang, Yang Junfeng, Li Haojun. Intelligent technology enabling education: the new momentum of high-quality development of education-the 20th International Forum on Education Technology Review [J]. Modern Education Technology, 2022, 32(03):5-13.

[5] Long Haitao. Education evaluation reform in the era of artificial intelligence: opportunities, challenges and path selection [J]. China Examination, 2021(11):10-18+34.

[6] Lou Fangyuan, Gao Zhen, Wang Shuyao, Wang Juan. 5G-supported intelligent learning space: connotation, construction and development [J]. Adult Education, 2022, 42(06):46-51.

[7] Zhang Jun, Wu Chonghan. From home-school cooperation to a good educational ecology-and on how effective home-school cooperation in schools [J]. China Journal of Education, 2021(03):7-13.

[8] Chen Xiaohui. "Double reduction" era of intelligent technology can be and can be-based on the "home-school-community" collaborative education perspective [J]. China audio-visual education, 2022 (04): 40-47.

[9] Wen Xiaoyong, Liu Lu, Li Yifan. Education information technology to help weak schools endogenous development research [J]. Teaching and management, 2019(36):47-50.

[10] Xie Youru, Qiu Yi, Liu Yachun. Artificial intelligence enabling classroom change to explore [J]. China audio-visual education, 2021(09):72-78.

[11] Huang Jianguo, Tang Yewei, Fan Jiarong, Zhong Shaochun. Research on the construction of accurate teacher training portrait in online learning environment based on xAPI [J]. China Audio-visual Education, 2020(04):102-108.

[12] Liu Xiaomei. Personalized learning based on virtual classroom [J]. China Education Informatization, 2010(03):60-61.

[13] Zhou Haibo. Based on adaptive learning platform to promote student personalized learning research [J]. Audio-visual education research, 2018, 39(04):122-128.

[14] Liu Bangqi, Yuan Tingting, Ji Yuchao, Liu Biying, Li Ling. Intelligent technology enabling education evaluation: connotation, overall framework and practical path [J]. China audio-visual education, 2021(08):16-24.