Wei Ping, Wang Xiaosai, Dong Hui
School of Foreign Languages, Tangshan Normal University, Tangshan, Hebei, China.
Front Psychol. 2023 Sep 29;14:1249991. doi: 10.3389/fpsyg.2023.1249991. eCollection 2023.
In the context of the burgeoning field of second language (L2) education, where proficient writing plays an integral role in effective language acquisition and communication, the ever-increasing technology development has influenced the trajectory of L2 writing development.
To address the need for enhanced writing skills among English as a Foreign Language (EFL) learners, this study investigates the efficacy of Automated Writing Evaluation (AWE) training. A randomized controlled trial employing repeated measures was conducted, involving a participant pool of 190 Chinese EFL students. The study comprehensively assessed the effects of AWE training, utilizing the Grammarly platform-an AI-driven program-on various dimensions of writing skills, encompassing task achievement, coherence and cohesion, lexicon, and grammatical accuracy. Control variables included writing self-efficacy and global English proficiency. Writing skills were evaluated through the administration of an International English Language Testing System (IELTS) writing sample test.
The results unequivocally demonstrate that the experimental group consistently exhibited superior performance across all facets of writing skills compared to the control group. Furthermore, the predictive influence of pre-test scores was pronounced in task achievement, coherence and cohesion, and lexicon, highlighting the pivotal role of learners' initial proficiency levels in shaping subsequent writing outcomes. Notably, the emergence of writing self-efficacy as a significant predictor of task achievement and coherence and cohesion underscores the role of learners' beliefs and confidence in shaping their writing abilities.
These findings conclusively suggest that Artificial Intelligence-based instructional programs, specifically AWE, hold the potential to effectively enhance second language writing skills, especially among learners with lower proficiency levels. This study carries crucial implications for EFL educators and researchers, advocating for the seamless integration of AWE into pedagogical strategies to foster a marked improvement in writing competence.
在第二语言(L2)教育蓬勃发展的背景下,熟练写作在有效的语言习得和交流中起着不可或缺的作用,不断发展的技术已经影响了第二语言写作发展的轨迹。
为了满足非英语外语(EFL)学习者提高写作技能的需求,本研究调查了自动写作评估(AWE)训练的效果。进行了一项采用重复测量的随机对照试验,涉及190名中国EFL学生作为参与者群体。该研究利用Grammarly平台(一个人工智能驱动程序)全面评估了AWE训练对写作技能各个维度的影响,包括任务完成情况、连贯与衔接、词汇和语法准确性。控制变量包括写作自我效能感和整体英语水平。通过管理国际英语语言测试系统(IELTS)写作样题测试来评估写作技能。
结果明确表明,与对照组相比,实验组在写作技能的所有方面始终表现出更优的成绩。此外,预测试分数在任务完成情况、连贯与衔接以及词汇方面具有显著的预测影响,突出了学习者初始熟练程度在塑造后续写作成果方面的关键作用。值得注意的是,写作自我效能感作为任务完成情况以及连贯与衔接的重要预测指标的出现,强调了学习者信念和信心在塑造其写作能力方面的作用。
这些发现确凿地表明,基于人工智能的教学项目,特别是AWE,有潜力有效提高第二语言写作技能,尤其是在熟练程度较低的学习者中。本研究对EFL教育工作者和研究人员具有重要意义,倡导将AWE无缝整合到教学策略中以显著提高写作能力。