An Evaluation Model of English Normal Students’ Informatization Teaching Ability Based on Technical Pedagogical Content Knowledge and Few-Shot Learning
Information-based instruction is the most important and recently altered sort of instruction. Numerous changes in educational techniques have emerged from the ongoing growth of science and technology. Teachers must also grasp and enhance their capacity to educate with information on a regular basis....
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          | Published in | Computational intelligence and neuroscience Vol. 2022; pp. 1 - 13 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          Hindawi
    
        05.07.2022
     John Wiley & Sons, Inc  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1687-5265 1687-5273 1687-5273  | 
| DOI | 10.1155/2022/8591303 | 
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| Abstract | Information-based instruction is the most important and recently altered sort of instruction. Numerous changes in educational techniques have emerged from the ongoing growth of science and technology. Teachers must also grasp and enhance their capacity to educate with information on a regular basis. The goal of this research is to look at how to use the TPACK model and computational intelligence to build and explain a model for evaluating English normal students’ informatization teaching skills. To measure information-based teaching competence, this research recommends using the Technical Pedagogical Content Knowledge model and Few-Shot Learning technology. As a result, this paper covers the principles and related algorithms of both, as well as constructing and assessing the case design and analysis of the information-based teaching ability evaluation model. According to the experimental data, the average CK of normal students’ subject material knowledge is 3.522, which is the highest among the seven dimensions. The subject content is well-understood by ordinary students. When compared with teaching abilities, the competence level is low, and the performance of the integration of technology and teaching content needs to be improved. | 
    
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| AbstractList | Information-based instruction is the most important and recently altered sort of instruction. Numerous changes in educational techniques have emerged from the ongoing growth of science and technology. Teachers must also grasp and enhance their capacity to educate with information on a regular basis. The goal of this research is to look at how to use the TPACK model and computational intelligence to build and explain a model for evaluating English normal students’ informatization teaching skills. To measure information-based teaching competence, this research recommends using the Technical Pedagogical Content Knowledge model and Few-Shot Learning technology. As a result, this paper covers the principles and related algorithms of both, as well as constructing and assessing the case design and analysis of the information-based teaching ability evaluation model. According to the experimental data, the average CK of normal students’ subject material knowledge is 3.522, which is the highest among the seven dimensions. The subject content is well-understood by ordinary students. When compared with teaching abilities, the competence level is low, and the performance of the integration of technology and teaching content needs to be improved. Information-based instruction is the most important and recently altered sort of instruction. Numerous changes in educational techniques have emerged from the ongoing growth of science and technology. Teachers must also grasp and enhance their capacity to educate with information on a regular basis. The goal of this research is to look at how to use the TPACK model and computational intelligence to build and explain a model for evaluating English normal students' informatization teaching skills. To measure information-based teaching competence, this research recommends using the Technical Pedagogical Content Knowledge model and Few-Shot Learning technology. As a result, this paper covers the principles and related algorithms of both, as well as constructing and assessing the case design and analysis of the information-based teaching ability evaluation model. According to the experimental data, the average CK of normal students' subject material knowledge is 3.522, which is the highest among the seven dimensions. The subject content is well-understood by ordinary students. When compared with teaching abilities, the competence level is low, and the performance of the integration of technology and teaching content needs to be improved.Information-based instruction is the most important and recently altered sort of instruction. Numerous changes in educational techniques have emerged from the ongoing growth of science and technology. Teachers must also grasp and enhance their capacity to educate with information on a regular basis. The goal of this research is to look at how to use the TPACK model and computational intelligence to build and explain a model for evaluating English normal students' informatization teaching skills. To measure information-based teaching competence, this research recommends using the Technical Pedagogical Content Knowledge model and Few-Shot Learning technology. As a result, this paper covers the principles and related algorithms of both, as well as constructing and assessing the case design and analysis of the information-based teaching ability evaluation model. According to the experimental data, the average CK of normal students' subject material knowledge is 3.522, which is the highest among the seven dimensions. The subject content is well-understood by ordinary students. When compared with teaching abilities, the competence level is low, and the performance of the integration of technology and teaching content needs to be improved.  | 
    
| Audience | Academic | 
    
| Author | Tan, Ronghua Zeng, Honghong  | 
    
| AuthorAffiliation | Yuzhang Normal University, Nanchang 330103, China | 
    
| AuthorAffiliation_xml | – name: Yuzhang Normal University, Nanchang 330103, China | 
    
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| Cites_doi | 10.18421/tem92-48 10.1109/TCBB.2022.3142748 10.15408/es.v11i2.10700 10.5937/inovacije1902106R 10.1080/15391523.2020.1858463 10.1016/j.compeleceng.2022.107908 10.1564/tme_v28.1.03 10.1016/j.iheduc.2018.04.004 10.1021/acs.jchemed.0c00718 10.1155/2022/2262549 10.1007/978-981-15-1468-5 10.1007/978-3-030-25128-4_223 10.1016/j.compedu.2017.04.012 10.1177/1558689817712119 10.31004/jptam.v5i2.1379 10.1109/LGRS.2020.3026587 10.1109/TGRS.2021.3100578 10.1109/TITS.2021.3066240  | 
    
| ContentType | Journal Article | 
    
| Copyright | Copyright © 2022 Honghong Zeng and Ronghua Tan. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Honghong Zeng and Ronghua Tan. 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 Copyright © 2022 Honghong Zeng and Ronghua Tan. 2022  | 
    
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| References | 11 22 J. C. Almenara (3) 2017; 23 12 23 13 M. Risti (16) 2019; 32 24 14 15 C. Huang (20) 2020 L. Irmita (17) 2018; 15 19 J. M. Marbán (18) 2021; 28 D. Mourlam (4) 2017; 35 I. M. Gomez-Trigueros (1) 2019; 10 D. Miguel-Revilla (5) 2020; 36 6 7 8 9 R. A. Salas-Rueda (2) 2018; 57 10 21  | 
    
| References_xml | – ident: 22 doi: 10.18421/tem92-48 – volume: 23 start-page: 73 issue: 32 year: 2017 ident: 3 article-title: Technological, pedagogical, and content knowledge of future teachers according to the TPACK model publication-title: Digital Education Review – ident: 9 doi: 10.1109/TCBB.2022.3142748 – volume: 15 start-page: 27 issue: 3 year: 2018 ident: 17 article-title: The influence of Technological Pedagogical and Content Knowledge (TPACK) approach on science literacy and social skills[J] publication-title: Journal of Turkish Science Education – ident: 19 doi: 10.15408/es.v11i2.10700 – volume: 32 start-page: 106 issue: 2 year: 2019 ident: 16 article-title: Model digitalnog nastavnog okruenja za strani jezik struke publication-title: Inovacije U Nastavi doi: 10.5937/inovacije1902106R – ident: 6 doi: 10.1080/15391523.2020.1858463 – ident: 13 doi: 10.1016/j.compeleceng.2022.107908 – volume: 28 start-page: 37 issue: 1 year: 2021 ident: 18 article-title: Pre-service teachers’ TPACK and attitudes toward integration of ICT in mathematics teaching[J] publication-title: International Journal for Technology in Mathematics Education doi: 10.1564/tme_v28.1.03 – volume: 36 start-page: 1 issue: 2 year: 2020 ident: 5 article-title: Assessing the digital competence of educators in social studies: an analysis in initial teacher training using the TPACK-21 model publication-title: Australasian Journal of Educational Technology – volume: 57 start-page: 3 issue: 2 year: 2018 ident: 2 article-title: Use of the TPACK model as an innovation tool for the teaching-learning process on mathematics publication-title: Perspectiva Educacional – ident: 15 doi: 10.1016/j.iheduc.2018.04.004 – ident: 24 doi: 10.1021/acs.jchemed.0c00718 – ident: 12 doi: 10.1155/2022/2262549 – volume-title: Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019) year: 2020 ident: 20 doi: 10.1007/978-981-15-1468-5 – ident: 21 doi: 10.1007/978-3-030-25128-4_223 – ident: 23 doi: 10.1016/j.compedu.2017.04.012 – volume: 35 start-page: 301 issue: 3 year: 2017 ident: 4 article-title: Preparing for infusion: emergence of a model for faculty TPACK development publication-title: Journal of Technology and Teacher Education – ident: 8 doi: 10.1177/1558689817712119 – volume: 10 start-page: 33 issue: 3 year: 2019 ident: 1 article-title: The geospace competences with the tpack model and outdoor educationautor publication-title: European Journal of Geography – ident: 7 doi: 10.31004/jptam.v5i2.1379 – ident: 11 doi: 10.1109/LGRS.2020.3026587 – ident: 14 doi: 10.1109/TGRS.2021.3100578 – ident: 10 doi: 10.1109/TITS.2021.3066240  | 
    
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| SubjectTerms | Algorithms Artificial intelligence Classrooms Computer applications Core curriculum Education Educational technology Information technology Integrated approach Intelligence Knowledge Learning Methods Pedagogy Problem based learning Science education Social networks Students Teacher education Teachers Teaching Teaching methods Technology  | 
    
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| Title | An Evaluation Model of English Normal Students’ Informatization Teaching Ability Based on Technical Pedagogical Content Knowledge and Few-Shot Learning | 
    
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