Using Generative Artificial Intelligence to Support EFL Students’Writing Proficiency in University in China  

在线阅读下载全文

作  者:Yvonne Marie Tiandem-Adamou 

机构地区:[1]College of Liberal Arts,Wenzhou-Kean University,China

出  处:《教育技术与创新》2024年第4期59-81,共23页Journal of Educational Technology and Innovation

摘  要:This study explores the integration of Generative AI(GenAI)tools and cooperative learning strategies to enhance writing proficiency among English as a Foreign Language(EFL)students in English-medium instruction(EMI)universities in China.Employing a quasi-experimental design,the study compared writing performance between an experimental group utilizing AI tools and a control group relying solely on traditional feedback methods.Quantitative findings revealed a significant improvement in writing scores for the experimental group(t=3.45,p<.01).A one-way ANOVA further demonstrated that higher engagement levels were positively associated with superior writing performance(F=4.32,p<.05),with post-hoc analyses highlighting peer collaboration and AI-driven personalized feedback as critical factors.Qualitative insights reinforced these findings,with students valuing the immediacy and specificity of AI feedback while still preferring the personalized nature of teacher input.However,the weak correlation between overall engagement levels and writing quality(r=.084)suggests that specific engagement dimensions,such as peer interaction and collaborative activities,warrant closer examination.The study contributes to the existing literature by bridging early constructivist learning theories with AI-driven pedagogical innovations,proposing a revised framework for understanding learning in technology-enhanced environments.Implications for educators include adopting blended approaches that leverage AI tools alongside traditional methods to foster active learning and improve writing outcomes in EFL contexts.

关 键 词:ESL/EFL writing technology integration Generative AI student engagement writing proficiency Cooperative/collaborative learning EMI university 

分 类 号:H31[语言文字—英语]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象