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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...

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Autores principales: Tsai, Chih-Cheng, Chung, Chih-Chao, Cheng, Yuh-Ming, Lou, Shi-Jer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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