Exploration on the Teaching Reform Measure for Machine Learning Course System of Artificial Intelligence Specialty
Due to the particularity of the artificial intelligence major and the machine learning courses learned, the traditional course teaching model is not suitable for artificial intelligence major machine learning courses. Based on this background, this article proposes a new system based on machine lear...
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| Vydáno v: | Scientific programming Ročník 2021; s. 1 - 9 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Hindawi
30.11.2021
John Wiley & Sons, Inc |
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| ISSN: | 1058-9244, 1875-919X |
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| Abstract | Due to the particularity of the artificial intelligence major and the machine learning courses learned, the traditional course teaching model is not suitable for artificial intelligence major machine learning courses. Based on this background, this article proposes a new system based on machine learning curriculum teaching reform. It mainly includes the reform of curriculum teaching mode, curriculum practice reform, and teaching process reform. In order to verify the effect of the proposed new model on the teaching quality of machine learning courses, this article also proposes an evaluation method based on intelligent technology. Firstly, the feasibility of evaluation based on intelligent technology is described. Secondly, it lists the application details of the existing teaching evaluation based on intelligent technology. Finally, a novel teaching quality evaluation system based on intelligent technology is proposed. The system collects student facial expression data and uses classification algorithms to make classification decisions on the data. The result of the decision can give feedback on the quality of classroom teaching. The comparison of experiments based on different intelligent technologies shows that the teaching quality evaluation system proposed in this article is feasible and effective. |
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| AbstractList | Due to the particularity of the artificial intelligence major and the machine learning courses learned, the traditional course teaching model is not suitable for artificial intelligence major machine learning courses. Based on this background, this article proposes a new system based on machine learning curriculum teaching reform. It mainly includes the reform of curriculum teaching mode, curriculum practice reform, and teaching process reform. In order to verify the effect of the proposed new model on the teaching quality of machine learning courses, this article also proposes an evaluation method based on intelligent technology. Firstly, the feasibility of evaluation based on intelligent technology is described. Secondly, it lists the application details of the existing teaching evaluation based on intelligent technology. Finally, a novel teaching quality evaluation system based on intelligent technology is proposed. The system collects student facial expression data and uses classification algorithms to make classification decisions on the data. The result of the decision can give feedback on the quality of classroom teaching. The comparison of experiments based on different intelligent technologies shows that the teaching quality evaluation system proposed in this article is feasible and effective. |
| Author | Li, Bo Jiang, Yizhang |
| Author_xml | – sequence: 1 givenname: Yizhang orcidid: 0000-0002-4558-9803 surname: Jiang fullname: Jiang, Yizhang organization: School of Artificial Intelligence and Computer ScienceJiangnan University1800 Lihu AvenueWuxiJiangsu 214122Chinajiangnan.edu.cn – sequence: 2 givenname: Bo orcidid: 0000-0003-1483-8077 surname: Li fullname: Li, Bo organization: School of Artificial Intelligence and Computer ScienceJiangnan University1800 Lihu AvenueWuxiJiangsu 214122Chinajiangnan.edu.cn |
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| CitedBy_id | crossref_primary_10_3390_systems11050225 crossref_primary_10_7717_peerj_cs_1329 crossref_primary_10_1007_s40299_025_01026_5 crossref_primary_10_1109_ACCESS_2023_3262701 crossref_primary_10_2478_amns_2023_2_00673 crossref_primary_10_1155_2022_2838935 crossref_primary_10_1155_2022_9255064 crossref_primary_10_2478_amns_2024_1267 crossref_primary_10_1007_s00500_023_09426_9 crossref_primary_10_1002_cae_22769 crossref_primary_10_1155_2022_5604032 crossref_primary_10_3389_fpsyg_2022_864416 |
| Cites_doi | 10.1007/s12555-019-0796-8 10.1109/idt.2009.5404113 10.1007/s10798-020-09635-5 10.1080/00405000.2021.1915559 10.1016/j.procs.2021.02.123 10.1016/j.neucom.2005.12.126 10.1023/a:1008943723141 10.1007/978-981-15-1468-5 10.1002/j.2168-9830.1996.tb00252.x 10.1007/s13198-021-01327-0 10.1007/s12652-021-03068-1 |
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| Copyright | Copyright © 2021 Yizhang Jiang and Bo Li. Copyright © 2021 Yizhang Jiang and Bo Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| References | C. M. He (1) 2017; 32 22 23 24 25 26 X. Liu (15) 2005; 26 S. Rogers (21) 2016; 25 B. Bigelow (19) 2002; 74 J. L. Xiao (11) 2011; 22 J. Creswell (20) 2015 L. Chen (7) 2018; 5 X. L. Hu (9) 2012; 30 14 Q. S. Jiang (16) 2010; 24 17 18 C. Y. Peng (10) 2007; 2 C. L. Hu (8) 2019; 10 H. E. Yun (12) 2011; 19 3 L. J. Han (2) 2007; 13 4 F. Yang (13) 2017; 44 6 D. Zheng (5) 2010; 27 |
| References_xml | – volume: 27 start-page: 146 issue: 5 year: 2010 ident: 5 article-title: Constructing postgraduate experimental teaching system and cultivating postgraduate innovation ability publication-title: Experimental Technology and Management – ident: 26 doi: 10.1007/s12555-019-0796-8 – volume: 25 start-page: 983 issue: 2 year: 2016 ident: 21 article-title: A first course in machine learning publication-title: Statistical Methods in Medical Research – ident: 23 doi: 10.1109/idt.2009.5404113 – volume: 13 start-page: 222 year: 2007 ident: 2 article-title: A tentative study in teaching reform of “artificial intelligence” publication-title: Computer Knowledge and Technology (Academic Exchange) – volume: 2 start-page: 124 year: 2007 ident: 10 article-title: Analysis on the status quo of classroom teaching and cultivation of students’innovative quality publication-title: Journal of Chongqing Institute of Technology (Natural Science Edition) – ident: 6 doi: 10.1007/s10798-020-09635-5 – volume: 44 start-page: 183 issue: 3 year: 2017 ident: 13 article-title: Practice and research on teaching reform for postgraduate of local university publication-title: Guangdong Chemical Industry – volume: 30 start-page: 118 issue: 1 year: 2012 ident: 9 article-title: Practice and research of teaching reform of “machine learning”curriculum for postgraduate publication-title: Meitan Higher Education – volume: 5 start-page: 99 issue: 6 year: 2018 ident: 7 article-title: Exploration on teaching reform of “machine learning”course in colleges and universities publication-title: Education Modernization – ident: 24 doi: 10.1080/00405000.2021.1915559 – volume: 32 start-page: 88 year: 2017 ident: 1 article-title: The study of “artificial intelligence” teaching reform under the environment of engineering education professional certification publication-title: Education Teaching Forum – volume: 26 start-page: 20 issue: 7 year: 2005 ident: 15 article-title: Study on current situation, problems of teaching assessment in higher vocational education and countermeasures publication-title: Vocational and Technical Education – ident: 17 doi: 10.1016/j.procs.2021.02.123 – ident: 25 doi: 10.1016/j.neucom.2005.12.126 – ident: 4 doi: 10.1023/a:1008943723141 – volume: 22 start-page: 1917 issue: 20 year: 2011 ident: 11 article-title: On teaching model reform of identificology of Chinese materiamedica publication-title: China Pharmacy – ident: 14 doi: 10.1007/978-981-15-1468-5 – volume-title: Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research year: 2015 ident: 20 – ident: 3 doi: 10.1002/j.2168-9830.1996.tb00252.x – ident: 22 doi: 10.1007/s13198-021-01327-0 – volume: 19 start-page: 1057 issue: 5 year: 2011 ident: 12 article-title: Reform of organ systems teaching model:takingdigestive diseases for example publication-title: Northwest Medical Education – volume: 74 start-page: 347 issue: 3 year: 2002 ident: 19 article-title: Rethinking globalization: teaching for justice in an unjust world publication-title: Harvard Educational Review – volume: 10 start-page: 99 year: 2019 ident: 8 article-title: Research of teaching reform of “machine learning”course for postgraduate publication-title: Education Teaching Forum – volume: 24 start-page: 146 issue: 3 year: 2010 ident: 16 article-title: Teaching model reform of detection technology for application-oriented talent training publication-title: Journal of Hefei University of Technology – ident: 18 doi: 10.1007/s12652-021-03068-1 |
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| SubjectTerms | Algorithms Artificial intelligence Big Data Classification Cloud computing Computers Core curriculum Curricula Data processing Deep learning Feasibility Knowledge Language Machine learning Mathematics Natural language Quality assessment R&D Research & development Robotics Students Teachers Teaching Teaching machines |
| Title | Exploration on the Teaching Reform Measure for Machine Learning Course System of Artificial Intelligence Specialty |
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