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Application of AI-Integrated Teaching in Embedded Courses

Author(s)

Yuanjia Ma, Delong Cui, Xiaolan Lv, Pei Luo*

Affiliation(s)

School of Electronic and Information Engineering, Guangdong University of Petrochemical Technology, Maoming, Guangdong, China *Corresponding Author

Abstract

Currently, the development of AI has brought numerous challenges and opportunities to the teaching of embedded courses. This paper explores the application status, challenges of AI - integrated teaching in embedded courses and offers solutions. The research reveals that the scarcity of high - quality educational resources, significant differences in students' adaptability, insufficient digital literacy of teachers, and technical barriers are the main problems. The investigation finds that expanding access to high - quality educational materials, enhancing students' information technology application capabilities, strengthening teacher training and professional development, and optimizing the technical support system are effective approaches. The research results show that these measures can significantly improve the teaching effect and enhance students' learning interest and participation.

Keywords

AI+; Embedded; Students' Adaptability; Teachers' Digital Literacy

References

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