Author(s)

Binbin Qiu ¹, Yu Zhu ¹, Lin Du ¹, Chunhua Feng ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Binbin Qiu

ABSTRACT

With the rapid development of big data and artificial intelligence (AI) technologies, the education community is actively exploring new paths to incorporate them into teaching and learning. This paper firstly dissects the potential benefits of these technologies in teaching and learning, and then briefly introduces their applications, such as personalized teaching, teaching decision support, student assessment, resource optimization and innovative teaching. A comprehensive analysis of the specific processes and implementation measures based on AI technologies in personalized teaching is provided. Subsequently, the challenges encountered in AI-based teaching applications, such as data privacy, teacher role evolution, resource allocation and modelling accuracy, are explored, and corresponding solution strategies and recommendations are proposed. Ultimately, the study will serve as a practical guide for educators and policy makers to promote educational innovation and progress in the field of big data and AI-enhanced teaching.

KEYWORDS

Big Data, Artificial Intelligence Technology, Teaching Applications, Personalized Teaching

CITE THIS PAPER

Binbin Qiu, Yu Zhu, Lin Du, Chunhua Feng, Analysis and Reflection on the Teaching Application of Artificial Intelligence Technology in the Context of Big Data. Curriculum and Teaching Methodology (2024) Vol. 7: 20-27. DOI: http://dx.doi.org/10.23977/curtm.2024.070404.

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education