Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods
This study investigates the complex dynamics and impacts of generative AI integration in foreign language education through the lens of the Generative AI-assisted Foreign Language Education Socio-Technical System (GAIFL-STS) model. Employing an integrated mixed-methods design, the study combines qua...
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MDPI AG
2024-10-01
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| author | Yang Zhang Changqi Dong |
| author_facet | Yang Zhang Changqi Dong |
| author_sort | Yang Zhang |
| collection | DOAJ |
| description | This study investigates the complex dynamics and impacts of generative AI integration in foreign language education through the lens of the Generative AI-assisted Foreign Language Education Socio-Technical System (GAIFL-STS) model. Employing an integrated mixed-methods design, the study combines qualitative case studies and hybrid simulation modeling to examine the affordances, challenges, and implications of AI adoption from a multi-level, multi-dimensional, and multi-stakeholder perspective. The qualitative findings, based on interviews, observations, and document analyses, reveal the transformative potential of generative AI in enhancing language learning experiences, as well as the social, cultural, and ethical tensions that arise in the process. The quantitative results, derived from system dynamics and agent-based modeling, provide a systemic and dynamic understanding of the key variables, feedback loops, and emergent properties that shape the trajectories and outcomes of AI integration. The integrated findings offer valuable insights into the strategies, practices, and policies that can support the effective, equitable, and responsible implementation of AI in language education. |
| format | Article |
| id | doaj-art-f4e00a9692c74a1594e21e5e9ba0f35c |
| institution | OA Journals |
| issn | 2079-8954 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-f4e00a9692c74a1594e21e5e9ba0f35c2025-08-20T02:27:39ZengMDPI AGSystems2079-89542024-10-01121146210.3390/systems12110462Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-MethodsYang Zhang0Changqi Dong1Faculty of Humanities & Social Sciences, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Management, Harbin Institute of Technology, Harbin 150001, ChinaThis study investigates the complex dynamics and impacts of generative AI integration in foreign language education through the lens of the Generative AI-assisted Foreign Language Education Socio-Technical System (GAIFL-STS) model. Employing an integrated mixed-methods design, the study combines qualitative case studies and hybrid simulation modeling to examine the affordances, challenges, and implications of AI adoption from a multi-level, multi-dimensional, and multi-stakeholder perspective. The qualitative findings, based on interviews, observations, and document analyses, reveal the transformative potential of generative AI in enhancing language learning experiences, as well as the social, cultural, and ethical tensions that arise in the process. The quantitative results, derived from system dynamics and agent-based modeling, provide a systemic and dynamic understanding of the key variables, feedback loops, and emergent properties that shape the trajectories and outcomes of AI integration. The integrated findings offer valuable insights into the strategies, practices, and policies that can support the effective, equitable, and responsible implementation of AI in language education.https://www.mdpi.com/2079-8954/12/11/462generative AIforeign language educationdigital transformationsocio-technical systemsmixed methodssystem dynamics |
| spellingShingle | Yang Zhang Changqi Dong Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods Systems generative AI foreign language education digital transformation socio-technical systems mixed methods system dynamics |
| title | Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods |
| title_full | Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods |
| title_fullStr | Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods |
| title_full_unstemmed | Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods |
| title_short | Exploring the Digital Transformation of Generative AI-Assisted Foreign Language Education: A Socio-Technical Systems Perspective Based on Mixed-Methods |
| title_sort | exploring the digital transformation of generative ai assisted foreign language education a socio technical systems perspective based on mixed methods |
| topic | generative AI foreign language education digital transformation socio-technical systems mixed methods system dynamics |
| url | https://www.mdpi.com/2079-8954/12/11/462 |
| work_keys_str_mv | AT yangzhang exploringthedigitaltransformationofgenerativeaiassistedforeignlanguageeducationasociotechnicalsystemsperspectivebasedonmixedmethods AT changqidong exploringthedigitaltransformationofgenerativeaiassistedforeignlanguageeducationasociotechnicalsystemsperspectivebasedonmixedmethods |