Research on Projects Case Teaching Mode for Artificial Intelligence

Yi Yang; Dekuang Yu

doi:doi:10.11648/j.her.20230806.11

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Research on Projects Case Teaching Mode for Artificial Intelligence

Yi Yang^*, Dekuang Yu

Published in Higher Education Research (Volume 8, Issue 6)

Received: 5 November 2023 Accepted: 15 November 2023 Published: 17 November 2023

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Abstract

With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.

Published in	Higher Education Research (Volume 8, Issue 6)
DOI	10.11648/j.her.20230806.11
Page(s)	214-219
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Artificial Intelligence, Project Cases, Student-Centered, Problem Driven, Project Oriented Teaching Method

References

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[2]	M Jia., W. W Shi., X. F. Lu, et al. “Artificial Intelligence Innovation Practice Course Ideological and Political Teaching in the Context of Technological Innovation in the New Era,” Computer Education, 2022 (8), pp. 48-52, August 2022.
[3]	Z. F. Gao, J. L. Li, J. C. Zhang, et al. “Reform of blended teaching in engineering training courses,” Modern Education Forum, pp. 47-49, December 2022.
[4]	Z. H. Zhou. The Undergraduate Education and Training System of Artificial Intelligence at Nanjing University. Beijing: Mechanical Industry Press, 2019.
[5]	S. M. He, J. T. Liu. “New Research on Hybrid Teaching Models in Universities: A Review of "Research on Hybrid Teaching Models in Universities from a Personalized Perspective",” Chinese Journal of Education, pp. 123, July 2022.
[6]	X. Y. Wang, S. H. Zhang, M. L. Wang. “Practice of blended teaching in college physics based on process management and assessment,” Physical Bulletin, pp. 25-29, November 2022.
[7]	T. Chen. “Exploring the ‘Online Offline’ Hybrid Teaching of Information Theory and Coding Course Based on Problem Guided Approach,” Journal of Higher Education, pp. 132-135, August 2022.
[8]	J. Liu, H. B. Liu, J. L. Jia, et al. “A Practical Exploration of the Mixed Discussion Teaching Method in Online Teaching,” Management Engineer, pp. 76-80, February 2022.
[9]	H. Liu. “A Study on the Hybrid Teaching Model of Professional Courses Guided by Practical Project Cases: Taking the Introduction to Intelligent Control Course as an Example,” Computer Education, pp. 114-118, April 2020.
[10]	Q. P. Pu, H. M. Lei, X. Y. Wang. “The Triple Logic of New Engineering Construction from the Perspective of New Development Stage, New Development Concept, and New Development Pattern,” Journal of Chongqing University (Social Science Edition), pp. 160-170, April 2021.
[11]	Z. F. Liao, J. Wang, B. Xiong. “Research on the Teaching and Practice Reform of Software Engineering Course in the Context of New Engineering,” The Computer Age, pp. 81-83+87, May 2021.
[12]	N. Yang, T. Li. “Construction and Practice of the One Body, Two Wings Teaching Model in Software Engineering from the Perspective of Case Teaching,” Higher Engineering Education Research, pp. 177-181, January 2020.
[13]	W. Q. Su. “On Innovative Approaches to Computer Software Engineering Management in the New Era,” Digital Communication World, pp. 132-134+137, August 2022.
[14]	L. P. Zhou, F. Zhou, Y. B. Chen. “Research and Construction of Software Engineering Professional Practice Course Platform under the Background of Engineering Certification,” China New Communications, pp. 77-78, September 2021.
[15]	P. Bao, W. W. Xing, W. Lu, et al. “The Teaching Model of Artificial Intelligence Practical Courses in the Context of New Engineering innovation research,” Computer Education, pp. 105-109, June 2021.
[16]	Y. Liu Yong, Q. X. Hu. “On the Future Development of Artificial Intelligence Education: From the Perspective of Discipline Construction,” China's Audiovisual Education, pp. 37-42, February 2020.

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APA Style

Yang, Y., Yu, D. (2023). Research on Projects Case Teaching Mode for Artificial Intelligence. Higher Education Research, 8(6), 214-219. https://doi.org/10.11648/j.her.20230806.11

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ACS Style

Yang, Y.; Yu, D. Research on Projects Case Teaching Mode for Artificial Intelligence. High. Educ. Res. 2023, 8(6), 214-219. doi: 10.11648/j.her.20230806.11

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AMA Style

Yang Y, Yu D. Research on Projects Case Teaching Mode for Artificial Intelligence. High Educ Res. 2023;8(6):214-219. doi: 10.11648/j.her.20230806.11

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@article{10.11648/j.her.20230806.11,
  author = {Yi Yang and Dekuang Yu},
  title = {Research on Projects Case Teaching Mode for Artificial Intelligence},
  journal = {Higher Education Research},
  volume = {8},
  number = {6},
  pages = {214-219},
  doi = {10.11648/j.her.20230806.11},
  url = {https://doi.org/10.11648/j.her.20230806.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.her.20230806.11},
  abstract = {With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.
},
 year = {2023}
}

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TY  - JOUR
T1  - Research on Projects Case Teaching Mode for Artificial Intelligence
AU  - Yi Yang
AU  - Dekuang Yu
Y1  - 2023/11/17
PY  - 2023
N1  - https://doi.org/10.11648/j.her.20230806.11
DO  - 10.11648/j.her.20230806.11
T2  - Higher Education Research
JF  - Higher Education Research
JO  - Higher Education Research
SP  - 214
EP  - 219
PB  - Science Publishing Group
SN  - 2578-935X
UR  - https://doi.org/10.11648/j.her.20230806.11
AB  - With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.

VL  - 8
IS  - 6
ER  -

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Author Information

Yi Yang

Biomedical Engineering School, Southern Medical University, Guangzhou, China

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Dekuang Yu

Biomedical Engineering School, Southern Medical University, Guangzhou, China

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Plain Text BibTeX RIS

APA Style

Yang, Y., Yu, D. (2023). Research on Projects Case Teaching Mode for Artificial Intelligence. Higher Education Research, 8(6), 214-219. https://doi.org/10.11648/j.her.20230806.11

Copy | Download

ACS Style

Yang, Y.; Yu, D. Research on Projects Case Teaching Mode for Artificial Intelligence. High. Educ. Res. 2023, 8(6), 214-219. doi: 10.11648/j.her.20230806.11

Copy | Download

AMA Style

Yang Y, Yu D. Research on Projects Case Teaching Mode for Artificial Intelligence. High Educ Res. 2023;8(6):214-219. doi: 10.11648/j.her.20230806.11

Copy | Download

@article{10.11648/j.her.20230806.11,
  author = {Yi Yang and Dekuang Yu},
  title = {Research on Projects Case Teaching Mode for Artificial Intelligence},
  journal = {Higher Education Research},
  volume = {8},
  number = {6},
  pages = {214-219},
  doi = {10.11648/j.her.20230806.11},
  url = {https://doi.org/10.11648/j.her.20230806.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.her.20230806.11},
  abstract = {With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on Projects Case Teaching Mode for Artificial Intelligence
AU  - Yi Yang
AU  - Dekuang Yu
Y1  - 2023/11/17
PY  - 2023
N1  - https://doi.org/10.11648/j.her.20230806.11
DO  - 10.11648/j.her.20230806.11
T2  - Higher Education Research
JF  - Higher Education Research
JO  - Higher Education Research
SP  - 214
EP  - 219
PB  - Science Publishing Group
SN  - 2578-935X
UR  - https://doi.org/10.11648/j.her.20230806.11
AB  - With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.

VL  - 8
IS  - 6
ER  -

Copy | Download