Home > Published Issues > 2023 > Volume 9, No. 4, December 2023 >
IJLT 2023 Vol.9(4): 430-433
doi: 10.18178/ijlt.9.4.430-433

Exploration on the Curriculum System and Mode of Innovative Talents Training in Big Data Specialty Based on AI Concept

Ma Jun
School of Information Engineering, Changsha Medical University, Changsha, China
Email: majun@csmu.edu.cn

Manuscript received October 2, 2023; revised October 31, 2023; accepted November 25, 2023.

Abstract—The rapid development of big data and cloud computing technology, artificial intelligence (Artificial Intelligence, AI) technology, and wireless sensor technology provides support for the digital transformation of various industries and industrial economies in society, and also puts forward the comprehensive quality of big data professionals. Higher requirements. Starting from the “AI concept” of the integration and development of “big data + artificial intelligence”, this paper explores the problems of unclear educational objectives, imperfect teaching system, outdated teaching knowledge content and insufficient innovation of teaching mode in the current big data professional courses in colleges and universities, and puts forward the “1 + X” open teaching system with big data professional teaching materials as the main part and other subject teaching as the supplement, the establishment of network Massive Open Online Course (MOOC) platform, school-enterprise integration practice training base to deepen the orientation education of big data professional students, the formation of big data curriculum theory, employment application practice integration teaching mode, so as to achieve the goal of comprehensive application ability training of big data professionals. 
Keywords—professional courses of big data, AI concept, cultivation of innovative talents, education mode 

Cite: Ma Jun, "Exploration on the Curriculum System and Mode of Innovative Talents Training in Big Data Specialty Based on AI Concept," International Journal of Learning and Teaching, Vol. 9, No. 4, pp. 430-433, December 2023. doi: 10.18178/ijlt.9.4.430-433

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.