STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Thoughts on the Teaching Reformation of Artificial Intelligence Courses
DOI: https://doi.org/10.62517/jiem.202403115
Author(s)
Xue Zhang1, Weijia Xiao2
Affiliation(s)
1School of Information Science and Engineering, Shaoyang University, Shaoyang, Hunan, China 2Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
Abstract
With the rapid growth of deep learning in recent years and the amazing performance shown by large language models, artificial intelligence (AI) has become popular again. AI, especially deep learning, becomes the most active research topics in recent years. It has enabled great progress in various scientific research domains. Following the trend, various majors in universities and colleges have offered artificial-intelligence-related courses. Given the problems existing in the current teaching of AI related courses, this article discusses several criteria that need to be followed in the teaching reformation of AI courses from two aspects such as the selection of course contents and the innovation of teaching methods. Our aim is to make the AI courses give full play to their due role, to enable students to effectively master theoretical knowledge and, at the same time, obtain the creative abilities to cope with the challenges imposed by the times and solve practical problems.
Keywords
Artificial Intelligence; Teaching Method Reformation; Courses
References
[1] Russell, Stuart J.; Norvig, Peter. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Hoboken: Pearson. ISBN 978-0134610993. [2] Baum, Seth, A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy, Global Catastrophic Risk Institute Working Paper 20, from the original on 14 November 2021, retrieved 13 January 2022 [3] Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola. Dive into Deep Learning. Cambridge University Press; 1st edition, December 7, 2023. [4] Chunjing Xiao, Min Zhang. Exploration of Teaching Methods Reformation of Artificial Intelligence Course. Creative Education Studies. Vol. 8 No. 3, Jun 2020.
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