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pro vyhledávání: '"Yang, Kaixun"'
Autor:
Yang, Kaixun, Cheng, Yixin, Zhao, Linxuan, Raković, Mladen, Swiecki, Zachari, Gašević, Dragan, Chen, Guanliang
The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dynamics of human-AI interaction in the collaborative writing process ar
Externí odkaz:
http://arxiv.org/abs/2406.14885
Autor:
Zeng, Zijie, Liu, Shiqi, Sha, Lele, Li, Zhuang, Yang, Kaixun, Liu, Sannyuya, Gašević, Dragan, Chen, Guanliang
This study explores the challenge of sentence-level AI-generated text detection within human-AI collaborative hybrid texts. Existing studies of AI-generated text detection for hybrid texts often rely on synthetic datasets. These typically involve hyb
Externí odkaz:
http://arxiv.org/abs/2403.03506
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays. While much effort has been made in this area, current research primarily focuses on either (i) boosting the pre
Externí odkaz:
http://arxiv.org/abs/2401.05655
The recent large language models (LLMs), e.g., ChatGPT, have been able to generate human-like and fluent responses when provided with specific instructions. While admitting the convenience brought by technological advancement, educators also have con
Externí odkaz:
http://arxiv.org/abs/2307.12267
Akademický článek
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Human-AI collaborative writing has been greatly facilitated with the help of modern large language models (LLM), e.g., ChatGPT. While admitting the convenience brought by technology advancement, educators also have concerns that students might levera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=arXiv_______::b1357c748d73df3da7bbebb6d136ad82
http://arxiv.org/abs/2307.12267
http://arxiv.org/abs/2307.12267