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This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners’ writing proficiency, revision practices, and writing quality.
Mohamed Mekheimer
doaj +3 more sources
How generative AI enhances self-regulated learning in EFL learners: a chain mediation model of “intention to use” and “learning engagement” [PDF]
Generative Artificial Intelligence is transforming English as a Foreign Language writing instruction. While much research has focused on technology acceptance, limited attention has been paid to how AI influences learners’ psychological and behavioral ...
Jin Xu
doaj +2 more sources
Due to their efficiency, stability, and enhanced language comprehension and analysis capabilities, generative AIs have attracted increasing attention in the field of writing as higher-level automated writing evaluation (AWE) feedback tools.
Hongli Yang, Yu Zhang, Jixuan Guo
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The integration of generative artificial intelligence (GAI) into higher education is transforming students’ learning processes, academic performance, and psychological well-being. Despite the increasing adoption of GAI tools, the mechanisms through which
Weitong Liu, Jiajia Shi
exaly +2 more sources
Exploring students’ perspectives on Generative AI-assisted academic writing
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process.
Jinhee Kim, Na Li, Rita Detrick
exaly +2 more sources
University Students’ Insights of Generative Artificial Intelligence (AI) Writing Tools
The current study examined university students’ insights into generative AI writing tools regarding their familiarity with, perceived concerns about, and perceived benefits of these tools in their academic work.
Al-Mothana M. Gasaymeh +2 more
doaj +3 more sources
The advent of generative artificial intelligence (AI) has transformed information acquisition and utilization in higher education academic writing. This study fills the empirical research gap by examining how university students use generative AI tools ...
Lixun Wang, Boyuan Ren
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WritingBench: A Comprehensive Benchmark for Generative Writing
Recent advancements in large language models (LLMs) have significantly enhanced text generation capabilities, yet evaluating their performance in generative writing remains a challenge. Existing benchmarks primarily focus on generic text generation or limited in writing tasks, failing to capture the diverse requirements of high-quality written contents
Yuning Wu 0001 +10 more
openaire +3 more sources
Synthetic poetry in the context of Slovak non-conventional writing and the postliterary age [PDF]
The article focuses on poetological and axiological analysis of the Slovak collection of poems Liza Gennart: Výsledky vzniku (Outcomes of origin, 2020).
Ivana Hostová +2 more
doaj +1 more source
As generative AI becomes ubiquitous, writers must decide if, when, and how to incorporate generative AI into their writing process. Educators must sort through their role in preparing students to make these decisions in a quickly evolving technological ...
Tamara Tate +2 more
exaly +2 more sources

