Digital Human Technology in E-Learning: Custom Content Solutions
With advances in digital transformation (DX) in education and digital technologies becoming more deeply integrated into educational settings, global demand for video-based learning materials continues to rise, resulting in substantial effort being required from teachers to create e-learning videos....
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/7/3807 |
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| author | Sinan Chen Liuyi Yang Yue Zhang Miao Zhang Yangmei Xie Zhiyi Zhu Jialong Li |
| author_facet | Sinan Chen Liuyi Yang Yue Zhang Miao Zhang Yangmei Xie Zhiyi Zhu Jialong Li |
| author_sort | Sinan Chen |
| collection | DOAJ |
| description | With advances in digital transformation (DX) in education and digital technologies becoming more deeply integrated into educational settings, global demand for video-based learning materials continues to rise, resulting in substantial effort being required from teachers to create e-learning videos. Furthermore, while many existing services offer visual content, they primarily rely on templates, making it challenging to design custom content that addresses specific needs. In this study, we develop a web service that facilitates e-learning video creation through integrated artificial intelligence (AI) and digital human technology. This service enhances educational content by integrating digital human characters and voice synthesis technologies, aiming to create comprehensive e-learning videos by incorporating visual motion and synchronized audio into educational content. In addition, this service also aims to enable the creation of engaging content through advanced visuals and animations, effectively maintaining learner interest. |
| format | Article |
| id | doaj-art-b6cef7b5cd59464cacf3af63c90605f6 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b6cef7b5cd59464cacf3af63c90605f62025-08-20T03:08:44ZengMDPI AGApplied Sciences2076-34172025-03-01157380710.3390/app15073807Digital Human Technology in E-Learning: Custom Content SolutionsSinan Chen0Liuyi Yang1Yue Zhang2Miao Zhang3Yangmei Xie4Zhiyi Zhu5Jialong Li6Center of Mathematical and Data Sciences, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, JapanGraduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, JapanGraduate School of Engineering, Faculty of Engineering, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, Japan Lab of Sediment Hazards and Disaster Risk, Graduate School of Maritime Sciences, Kobe University, 5-1-1 Fukae Minamicho, Higashinada-ku, Kobe 658-0022, JapanGraduate School of Human Development and Environment, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, JapanGraduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, JapanDepartment of Computer Science and Engineering, Waseda University, 1-104 Totsukamachi, Shinjuku-ku, Tokyo 169-8050, JapanWith advances in digital transformation (DX) in education and digital technologies becoming more deeply integrated into educational settings, global demand for video-based learning materials continues to rise, resulting in substantial effort being required from teachers to create e-learning videos. Furthermore, while many existing services offer visual content, they primarily rely on templates, making it challenging to design custom content that addresses specific needs. In this study, we develop a web service that facilitates e-learning video creation through integrated artificial intelligence (AI) and digital human technology. This service enhances educational content by integrating digital human characters and voice synthesis technologies, aiming to create comprehensive e-learning videos by incorporating visual motion and synchronized audio into educational content. In addition, this service also aims to enable the creation of engaging content through advanced visuals and animations, effectively maintaining learner interest.https://www.mdpi.com/2076-3417/15/7/3807E-Learningdigital humaneducational contentweb service |
| spellingShingle | Sinan Chen Liuyi Yang Yue Zhang Miao Zhang Yangmei Xie Zhiyi Zhu Jialong Li Digital Human Technology in E-Learning: Custom Content Solutions Applied Sciences E-Learning digital human educational content web service |
| title | Digital Human Technology in E-Learning: Custom Content Solutions |
| title_full | Digital Human Technology in E-Learning: Custom Content Solutions |
| title_fullStr | Digital Human Technology in E-Learning: Custom Content Solutions |
| title_full_unstemmed | Digital Human Technology in E-Learning: Custom Content Solutions |
| title_short | Digital Human Technology in E-Learning: Custom Content Solutions |
| title_sort | digital human technology in e learning custom content solutions |
| topic | E-Learning digital human educational content web service |
| url | https://www.mdpi.com/2076-3417/15/7/3807 |
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