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Analysis of AI Precision Education Strategy for Small Private Online Courses
In recent years, the learning efficacy of online to offline (O2O) teaching methods seems to outperform traditional teaching methods in the field of education. Students can use a small private online course (SPOC) teaching platform to preview class-related materials, learn basic knowledge, and enhanc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631353/ https://www.ncbi.nlm.nih.gov/pubmed/34858279 http://dx.doi.org/10.3389/fpsyg.2021.749629 |
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author | Lin, Yu-Shan Lai, Ying-Hsun |
author_facet | Lin, Yu-Shan Lai, Ying-Hsun |
author_sort | Lin, Yu-Shan |
collection | PubMed |
description | In recent years, the learning efficacy of online to offline (O2O) teaching methods seems to outperform traditional teaching methods in the field of education. Students can use a small private online course (SPOC) teaching platform to preview class-related materials, learn basic knowledge, and enhance the practical experience of system development in offline courses. The research team applied an artificial intelligence (AI) precision education strategy to design a teaching experiment that evaluated whether this approach may lead to better learning outcomes. In addition to questionnaire surveys to ascertain students' attitudes toward and their satisfaction with learning, this study employed in-depth interviews to understand a potential influence on changes in teachers' curriculum design and teaching approaches when SPOCs was integrated into the traditional university classroom, as well as the impact of the AI precision education model. The results showed that the AI precision education model may facilitate students' learning experience and enhance student achievement. |
format | Online Article Text |
id | pubmed-8631353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86313532021-12-01 Analysis of AI Precision Education Strategy for Small Private Online Courses Lin, Yu-Shan Lai, Ying-Hsun Front Psychol Psychology In recent years, the learning efficacy of online to offline (O2O) teaching methods seems to outperform traditional teaching methods in the field of education. Students can use a small private online course (SPOC) teaching platform to preview class-related materials, learn basic knowledge, and enhance the practical experience of system development in offline courses. The research team applied an artificial intelligence (AI) precision education strategy to design a teaching experiment that evaluated whether this approach may lead to better learning outcomes. In addition to questionnaire surveys to ascertain students' attitudes toward and their satisfaction with learning, this study employed in-depth interviews to understand a potential influence on changes in teachers' curriculum design and teaching approaches when SPOCs was integrated into the traditional university classroom, as well as the impact of the AI precision education model. The results showed that the AI precision education model may facilitate students' learning experience and enhance student achievement. Frontiers Media S.A. 2021-11-10 /pmc/articles/PMC8631353/ /pubmed/34858279 http://dx.doi.org/10.3389/fpsyg.2021.749629 Text en Copyright © 2021 Lin and Lai. 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 Lin, Yu-Shan Lai, Ying-Hsun Analysis of AI Precision Education Strategy for Small Private Online Courses |
title | Analysis of AI Precision Education Strategy for Small Private Online Courses |
title_full | Analysis of AI Precision Education Strategy for Small Private Online Courses |
title_fullStr | Analysis of AI Precision Education Strategy for Small Private Online Courses |
title_full_unstemmed | Analysis of AI Precision Education Strategy for Small Private Online Courses |
title_short | Analysis of AI Precision Education Strategy for Small Private Online Courses |
title_sort | analysis of ai precision education strategy for small private online courses |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631353/ https://www.ncbi.nlm.nih.gov/pubmed/34858279 http://dx.doi.org/10.3389/fpsyg.2021.749629 |
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