Effects of AI-Assisted Feedback via Generative Chat on Academic Writing in Higher Education Students: A Systematic Review of the Literature

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Vydáno v:Education Sciences vol. 15, no. 10 (2025), p. 1396-1412
Hlavní autor: Urzúa Claudio Andrés Cerón
Další autoři: Ranjeeva, Ranjan, Saavedra Eleazar Eduardo Méndez, Badilla-Quintana, María Graciela, Lepe-Martínez, Nancy, Philominraj, Andrew
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MDPI AG
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100 1 |a Urzúa Claudio Andrés Cerón  |u Department of Educational Foundations, Faculty of Educational Sciences, Universidad Católica del Maule, Talca 3460000, Chile; cceron@ucm.cl 
245 1 |a Effects of AI-Assisted Feedback via Generative Chat on Academic Writing in Higher Education Students: A Systematic Review of the Literature 
260 |b MDPI AG  |c 2025 
513 |a Review 
520 3 |a The use of generative chat in education has become widespread over the last four years, raising many questions about its use and the effects of AI on learning. The aim of the current systematic review is to analyze the main effects of feedback through the use of generative chat on the production of academic texts by university students. This research is defined as a systematic review of the literature according to the guidelines of the PRISMA statement. The search was conducted in three international important databases (Scopus, Eric, and WoS), from which 12 articles were selected. The results highlighted that there are positive effects on university students’ writing when generative chat is used as a means of providing feedback. Among the main results, it was observed that feedback via chat helps to improve aspects mainly associated with the structure and organization of texts, allows for the proper use of grammatical conventions, and improves the fluency and cohesion of sentences, as well as the precision of ideas and vocabulary. In addition, other benefits were observed in the review, such as improved self-efficacy, self-regulation, proactivity, motivation, and reflection on writing, which promotes critical thinking about the text but also about AI, reducing anxiety and stress. 
653 |a Chatbots 
653 |a Artificial intelligence 
653 |a Neural networks 
653 |a Learning 
653 |a Literature Reviews 
653 |a Indexing 
653 |a Educational Research 
653 |a Information Retrieval 
653 |a Creative Thinking 
653 |a Learning Processes 
653 |a Cognitive Processes 
653 |a Authors 
653 |a Databases 
653 |a Search Strategies 
653 |a Coding 
653 |a Natural Language Processing 
653 |a Information Seeking 
653 |a Grounded Theory 
653 |a Formative Evaluation 
653 |a Process Approach (Writing) 
653 |a Student Writing Models 
653 |a Language Processing 
653 |a Information Processing 
653 |a Database Management Systems 
653 |a Linguistics 
653 |a Higher Education 
653 |a Scientific Literacy 
653 |a Grammar 
700 1 |a Ranjeeva, Ranjan  |u Department of Educational Foundations, Faculty of Educational Sciences, Universidad Católica del Maule, Talca 3460000, Chile; cceron@ucm.cl 
700 1 |a Saavedra Eleazar Eduardo Méndez  |u Faculty of Educational Sciences, Universidad Católica del Maule, Talca 3460000, Chile; eleazar.mendez@alu.ucm.cl 
700 1 |a Badilla-Quintana, María Graciela  |u Department of Curriculum, Assessment, and Technologies in Education, Faculty of Education, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile; mgbadilla@ucsc.cl 
700 1 |a Lepe-Martínez, Nancy  |u Department of Diversity and Educational Inclusion, Faculty of Educational Sciences, Universidad Católica del Maule, Talca 3460000, Chile; nlepe@ucm.cl 
700 1 |a Philominraj, Andrew  |u Department of Languages, Faculty of Educational Sciences, Universidad Católica del Maule, Talca 3460000, Chile; andrew@ucm.cl 
773 0 |t Education Sciences  |g vol. 15, no. 10 (2025), p. 1396-1412 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3265872210/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3265872210/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3265872210/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch