{"id":9148,"date":"2026-07-10T00:03:56","date_gmt":"2026-07-09T16:03:56","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=9148"},"modified":"2026-07-11T16:28:01","modified_gmt":"2026-07-11T08:28:01","slug":"jase-202610-33-032","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202610-33-032","title":{"rendered":"Assessing the Impact of Artificial Intelligence-Enhanced Feedback Systems on College Students ‘English Writing Skills’"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 33<\/a><\/p>\n<\/div>\n\n\n\n

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Lijuan Dai<\/i><\/a> and Jiguo Yao<\/p>\n\n\n\n

School of International Logistics, Hunan Modern Logistics College, Changsha, Hunan 410131, China<\/p>\n<\/div>\n\n\n\n

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Received: March 11, 2026
Accepted: April 26, 2026
Publication Date: July 10, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Structural Model Path Diagram <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:  BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202610_33.032<\/a>  <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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The automatic feedback systems which use artificial intelligence (AI) technology now produce instant feedback to academic writers which correct their grammar errors and vocabulary usage and writing coherence problems. The research used a quantitative cross sectional study design which involved 200 undergraduate students at Tsinghua University who completed a structured 30 item questionnaire to provide information about their personal backgrounds and their digital platform usage and their perceived improvements and their difficulties and their overall satisfaction. The research team utilized Partial Least Squares Structural Equation Modeling to analyze data while maintaining methodological standards through the evaluation of reliability and validity and structural relationships. This research employs of quantitative cross-sectional analysis through structured questionnaire and PLS-SEM. Key statistics such as path coefficient (\u03b2 = 0.851,0.392), effect size (f2<\/sup> = 2.627,0.234) and capacity (R2<\/sup> = 0.819).<\/p>\n\n\n\n

Keywords: Artificial Intelligence; Feedback Systems; English Writing Skills; PLS-SEM; Academic Satisfaction; Challenges and Concerns<\/em><\/p>\n\n\n\n

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