Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse
The advent of generative artificial intelligence (GAI) technologies has significantly influenced the educational landscape. However, public perceptions and the underlying emotions toward artificial intelligence-generated content (AIGC) applications in education remain complex issues. To address this...
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MDPI AG
2025-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/7/3886 |
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| author | Jinqiao Zhou Hongfeng Zhang |
| author_facet | Jinqiao Zhou Hongfeng Zhang |
| author_sort | Jinqiao Zhou |
| collection | DOAJ |
| description | The advent of generative artificial intelligence (GAI) technologies has significantly influenced the educational landscape. However, public perceptions and the underlying emotions toward artificial intelligence-generated content (AIGC) applications in education remain complex issues. To address this issue, this study employs LDA network public opinion topic mining and SnowNLP sentiment analysis to comprehensively analyze over 40,000 comments collected from multiple social media platforms in China. Through a detailed analysis of the data, this study examines the distribution of positive and negative emotions and identifies six topics. The study further utilizes visual tools such as word clouds and heatmaps to present the research findings. The results indicate that the emotional polarity across all topics is characterized by a predominance of positive emotions over negative ones. Moreover, an analysis of the keywords across the six topics reveals that each has its own emphasis, yet there are overlaps between them. Therefore, this study, through quantitative methods, also reflects the complex interconnections among the elements within the educational ecosystem. Additionally, this study integrates the six identified topics with the Technology–Organization–Environment (TOE) framework to explore the broad impact of AIGC on education from the perspectives of technology, organization, and environment. This research provides a novel perspective on the emotional attitudes and key concerns of the Chinese public regarding the use of AIGC in education. |
| format | Article |
| id | doaj-art-ecaafd09eda2464ca52d58b68ae4f7c9 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-ecaafd09eda2464ca52d58b68ae4f7c92025-08-20T03:06:16ZengMDPI AGApplied Sciences2076-34172025-04-01157388610.3390/app15073886Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public DiscourseJinqiao Zhou0Hongfeng Zhang1Faculty of Humanities and Social Sciences, Macao Polytechnic University, R. de Luís Gonzaga Gomes, Macao 999078, ChinaFaculty of Humanities and Social Sciences, Macao Polytechnic University, R. de Luís Gonzaga Gomes, Macao 999078, ChinaThe advent of generative artificial intelligence (GAI) technologies has significantly influenced the educational landscape. However, public perceptions and the underlying emotions toward artificial intelligence-generated content (AIGC) applications in education remain complex issues. To address this issue, this study employs LDA network public opinion topic mining and SnowNLP sentiment analysis to comprehensively analyze over 40,000 comments collected from multiple social media platforms in China. Through a detailed analysis of the data, this study examines the distribution of positive and negative emotions and identifies six topics. The study further utilizes visual tools such as word clouds and heatmaps to present the research findings. The results indicate that the emotional polarity across all topics is characterized by a predominance of positive emotions over negative ones. Moreover, an analysis of the keywords across the six topics reveals that each has its own emphasis, yet there are overlaps between them. Therefore, this study, through quantitative methods, also reflects the complex interconnections among the elements within the educational ecosystem. Additionally, this study integrates the six identified topics with the Technology–Organization–Environment (TOE) framework to explore the broad impact of AIGC on education from the perspectives of technology, organization, and environment. This research provides a novel perspective on the emotional attitudes and key concerns of the Chinese public regarding the use of AIGC in education.https://www.mdpi.com/2076-3417/15/7/3886AIGCAI in educationpublic sentimentLDA topic miningSnowNLP sentiment analysisTOE framework |
| spellingShingle | Jinqiao Zhou Hongfeng Zhang Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse Applied Sciences AIGC AI in education public sentiment LDA topic mining SnowNLP sentiment analysis TOE framework |
| title | Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse |
| title_full | Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse |
| title_fullStr | Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse |
| title_full_unstemmed | Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse |
| title_short | Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse |
| title_sort | transforming education in the ai era a technology organization environment framework inquiry into public discourse |
| topic | AIGC AI in education public sentiment LDA topic mining SnowNLP sentiment analysis TOE framework |
| url | https://www.mdpi.com/2076-3417/15/7/3886 |
| work_keys_str_mv | AT jinqiaozhou transformingeducationintheaieraatechnologyorganizationenvironmentframeworkinquiryintopublicdiscourse AT hongfengzhang transformingeducationintheaieraatechnologyorganizationenvironmentframeworkinquiryintopublicdiscourse |