Construction and Exploration of Demand Oriented Experimental Teaching System for Artificial Intelligence Specialty

Abstract

Abstract: Focus on the development of artificial intelligence, student development is the direction of future exploration, combined with the employment situation of previous students, a demand-oriented experimental teaching system for artificial intelligence specialty was built, which is closely combined with the industry frontier. We focus on cultivating students' innovative thinking mode, scientific research quality and practical ability, and achieved good teaching effect Results and positive feedback.

Key words: Demand oriented, Artificial intelligence, Experimental teaching

CLC Number:

G434

LIAO Wenzhe, LEI Zhaoming, LIU Bin. Construction and Exploration of Demand Oriented Experimental Teaching System for Artificial Intelligence Specialty[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(4): 89-91.

[1]	XIA Lu, FENG Tao, ZHANG Shuqin. Research on the Application of Intelligent Educational Technology in Experimental Courses under the Background of “Innovation and Entrepreneurship” Education [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(6): 66-68.
[2]	LIU Zhimin, XU Zhigang. Practical Research on Heuristic Teaching in Basic Chemistry Experiment Teaching [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(4): 127-128.
[3]	GU Jihao, YAN Yunzhong, ZHU Hengxuan, LI Nana, LI Zhihui, WANG Jin. Exploration on Experimental Teaching Reform of Building Environment and Energy Application Engineering [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(1): 40-41.
[4]	HU Dekun, YI Fasheng, LI Li, CHEN Xiaodan, ZHANG Junyan, ZHAO Liqin. Research and Practice on the Training Mode of Innovative and Entrepreneurial Talents for Computer Undergraduates based on Multi-objective Integration [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(1): 187-190.
[5]	XIE Ling. Research on the Experimental Teaching Reform of Photography Based on Virtual Simulation Technology [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(9): 21-23.
[6]	JI Yan. Exploration on the English Teaching Innovation from the Perspective of 5G + Artificial Intelligence [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(7): 67-68.
[7]	LI Xiaowei, GU Haipeng. Exploration on the Construction and Reform of Undergraduate Statistics from the Perspective of AI [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(7): 94-96.
[8]	LI Yongxu. Analysis of the Application of Artificial Intelligence Technology in the Field of Education [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(6): 150-151.
[9]	GONG Qian. Research and Practice of Information-based Teaching Ecological Environment in Vocational Colleges and Universities Based on Mobile Internet [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(5): 33-34.
[10]	SHA Ailong. Research on the Application of RM6240 Systems in Physiology Experimental Teaching [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(5): 40-41.
[11]	FENG Jiukuan. Research and Practice of Experimental Teaching Reform——Take Economics, Management as an Example [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(4): 40-41.
[12]	WANG Xu, ZHOU Jin, LI Shuangshou. Teaching Exploration of Artificial Intelligence Practice Guidance [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(24): 51-53.
[13]	TAN Run. Discussion on Deep Learning in Intelligent Era [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(23): 168-169.
[14]	PAN Lingying, HE Jianjia, FAN Yijing. Exploration of Curriculum Ideological and Political Teaching under the Background of New Engineering --A Case Study of Artificial Intelligence and Intelligent Manufacturing Course [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(22): 55-56.
[15]	SHU Wei, SUN Liyuan, MAI Jie, GUO Yong, HAN Biao, YANG Qinglin. Feasibility of Setting up Intelligent Medical Engineering Specialty in Guangxi Medical Colleges [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(22): 87-89.

Construction and Exploration of Demand Oriented Experimental Teaching System for Artificial Intelligence Specialty

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments