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Deep learning course development and evaluation of artificial intelligence in vocational senior high schools
This study aimed to develop cross-domain deep learning courses of artificial intelligence in vocational senior high schools and explore its impact on students’ learning effects. It initially adopted a literature review to develop a cross-domain SPOC-AIoT Course with SPOC (small private online course...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542054/ https://www.ncbi.nlm.nih.gov/pubmed/36211841 http://dx.doi.org/10.3389/fpsyg.2022.965926 |
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author | Tsai, Chih-Cheng Chung, Chih-Chao Cheng, Yuh-Ming Lou, Shi-Jer |
author_facet | Tsai, Chih-Cheng Chung, Chih-Chao Cheng, Yuh-Ming Lou, Shi-Jer |
author_sort | Tsai, Chih-Cheng |
collection | PubMed |
description | This study aimed to develop cross-domain deep learning courses of artificial intelligence in vocational senior high schools and explore its impact on students’ learning effects. It initially adopted a literature review to develop a cross-domain SPOC-AIoT Course with SPOC (small private online courses) and the Double Diamond 4D model in vocational senior high schools. Afterward, it adopted participatory action research (PAR) and a questionnaire survey and conducted analyses on the various aspects of the technology acceptance model by SmartPLS. Further, this study explored the impact on the effects of deep learning and knowledge-ability learning of artificial intelligence after 16 weeks of course teaching among 36 Grade I students from the electrical and electronic group of a vocational senior high school. This study revealed that (1) the four stages of the SPOC-AIoT Teaching Mode of the Double Diamond 4D model may effectively guide students to learn AIoT knowledge and skills. (2) Based on the technology acceptance model, the analysis of learning and participation in SmartPLS indicated that this model conformed to the academic fitness requirements of the overall model. (3) After learning with the SPOC-AIoT Teaching Mode, the learning effects of students in AIoT have been significantly improved to a positive aspect. Finally, some suggestions were put forward to promote the development of the SPOC-AIoT Teaching Mode Course in the future. |
format | Online Article Text |
id | pubmed-9542054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95420542022-10-08 Deep learning course development and evaluation of artificial intelligence in vocational senior high schools Tsai, Chih-Cheng Chung, Chih-Chao Cheng, Yuh-Ming Lou, Shi-Jer Front Psychol Psychology This study aimed to develop cross-domain deep learning courses of artificial intelligence in vocational senior high schools and explore its impact on students’ learning effects. It initially adopted a literature review to develop a cross-domain SPOC-AIoT Course with SPOC (small private online courses) and the Double Diamond 4D model in vocational senior high schools. Afterward, it adopted participatory action research (PAR) and a questionnaire survey and conducted analyses on the various aspects of the technology acceptance model by SmartPLS. Further, this study explored the impact on the effects of deep learning and knowledge-ability learning of artificial intelligence after 16 weeks of course teaching among 36 Grade I students from the electrical and electronic group of a vocational senior high school. This study revealed that (1) the four stages of the SPOC-AIoT Teaching Mode of the Double Diamond 4D model may effectively guide students to learn AIoT knowledge and skills. (2) Based on the technology acceptance model, the analysis of learning and participation in SmartPLS indicated that this model conformed to the academic fitness requirements of the overall model. (3) After learning with the SPOC-AIoT Teaching Mode, the learning effects of students in AIoT have been significantly improved to a positive aspect. Finally, some suggestions were put forward to promote the development of the SPOC-AIoT Teaching Mode Course in the future. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9542054/ /pubmed/36211841 http://dx.doi.org/10.3389/fpsyg.2022.965926 Text en Copyright © 2022 Tsai, Chung, Cheng and Lou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Tsai, Chih-Cheng Chung, Chih-Chao Cheng, Yuh-Ming Lou, Shi-Jer Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title | Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title_full | Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title_fullStr | Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title_full_unstemmed | Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title_short | Deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
title_sort | deep learning course development and evaluation of artificial intelligence in vocational senior high schools |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542054/ https://www.ncbi.nlm.nih.gov/pubmed/36211841 http://dx.doi.org/10.3389/fpsyg.2022.965926 |
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