Using Artificial Intelligence-Based Collaborative Teaching in Media Learning
With the advent of the 5G era, humans must not only learn the knowledge and skills of cross-border integration but must also get to grips with the breadth and efficiency of artificial intelligence (AI) technology in order to jointly overcome current difficulties and create a happy and beautiful life...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-10-01
|
| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.713943/full |
| _version_ | 1818356394533847040 |
|---|---|
| author | Weijun Wang Zhenhuan Liu |
| author_facet | Weijun Wang Zhenhuan Liu |
| author_sort | Weijun Wang |
| collection | DOAJ |
| description | With the advent of the 5G era, humans must not only learn the knowledge and skills of cross-border integration but must also get to grips with the breadth and efficiency of artificial intelligence (AI) technology in order to jointly overcome current difficulties and create a happy and beautiful life. In this article, we use the example of an elementary school to discuss the decision-making factors that influence teachers when choosing AI technology, where the digital content of schools is imported into artificial intelligence-based collaborative teaching. After discussing the relevant literature, this study will introduce the concept of digital media education, and then compare the development and application of smart technology and human-computer collaborative teaching methods, describing three key aspects and factors that influence elementary school teachers’ choice of AI technology. There are 12 evaluation criteria in total. After the completion of expert questionnaires and data analysis, it was found that the main factors affecting teachers’ choice of AI technology are “collaborative tasks,” “functional characteristics,” and “modeling characteristics.” In terms of evaluation criteria, the four most important aspects were found to be “learning assistance,” “security,” “teaching observation,” and “record review.” The results of this research analysis will help provide a reference for digital content development and individual recommendation services. In future work, this study can further discuss teaching innovations in digital media education, aimed at improving the quality and effectiveness of teaching and learning. |
| first_indexed | 2024-12-13T19:56:31Z |
| format | Article |
| id | doaj.art-abd0b15dbd254d4b8e7cfddf13a3857b |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-13T19:56:31Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-abd0b15dbd254d4b8e7cfddf13a3857b2022-12-21T23:33:18ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-10-011210.3389/fpsyg.2021.713943713943Using Artificial Intelligence-Based Collaborative Teaching in Media LearningWeijun Wang0Zhenhuan Liu1School of Creative Design, Shanghai Institute of Commerce & Foreign Languages, Shanghai, ChinaDepartment of Computer Engineering, Dongguan Polytechnic, Dongguan, ChinaWith the advent of the 5G era, humans must not only learn the knowledge and skills of cross-border integration but must also get to grips with the breadth and efficiency of artificial intelligence (AI) technology in order to jointly overcome current difficulties and create a happy and beautiful life. In this article, we use the example of an elementary school to discuss the decision-making factors that influence teachers when choosing AI technology, where the digital content of schools is imported into artificial intelligence-based collaborative teaching. After discussing the relevant literature, this study will introduce the concept of digital media education, and then compare the development and application of smart technology and human-computer collaborative teaching methods, describing three key aspects and factors that influence elementary school teachers’ choice of AI technology. There are 12 evaluation criteria in total. After the completion of expert questionnaires and data analysis, it was found that the main factors affecting teachers’ choice of AI technology are “collaborative tasks,” “functional characteristics,” and “modeling characteristics.” In terms of evaluation criteria, the four most important aspects were found to be “learning assistance,” “security,” “teaching observation,” and “record review.” The results of this research analysis will help provide a reference for digital content development and individual recommendation services. In future work, this study can further discuss teaching innovations in digital media education, aimed at improving the quality and effectiveness of teaching and learning.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.713943/fullartificial intelligencecollaborative teachingdigital media educationteaching innovationlearning effectiveness |
| spellingShingle | Weijun Wang Zhenhuan Liu Using Artificial Intelligence-Based Collaborative Teaching in Media Learning Frontiers in Psychology artificial intelligence collaborative teaching digital media education teaching innovation learning effectiveness |
| title | Using Artificial Intelligence-Based Collaborative Teaching in Media Learning |
| title_full | Using Artificial Intelligence-Based Collaborative Teaching in Media Learning |
| title_fullStr | Using Artificial Intelligence-Based Collaborative Teaching in Media Learning |
| title_full_unstemmed | Using Artificial Intelligence-Based Collaborative Teaching in Media Learning |
| title_short | Using Artificial Intelligence-Based Collaborative Teaching in Media Learning |
| title_sort | using artificial intelligence based collaborative teaching in media learning |
| topic | artificial intelligence collaborative teaching digital media education teaching innovation learning effectiveness |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.713943/full |
| work_keys_str_mv | AT weijunwang usingartificialintelligencebasedcollaborativeteachinginmedialearning AT zhenhuanliu usingartificialintelligencebasedcollaborativeteachinginmedialearning |