Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Chen, Guanliang"'
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
Autor:
Lin, Jionghao, Tan, Wei, Nguyen, Ngoc Dang, Lang, David, Du, Lan, Buntine, Wray, Beare, Richard, Chen, Guanliang, Gasevic, Dragan
Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dialogue-based intelligent tutoring s
Externí odkaz:
http://arxiv.org/abs/2304.07499
Autor:
Tan, Wei, Lin, Jionghao, Lang, David, Chen, Guanliang, Gasevic, Dragan, Du, Lan, Buntine, Wray
Dialogue Acts (DAs) can be used to explain what expert tutors do and what students know during the tutoring process. Most empirical studies adopt the random sampling method to obtain sentence samples for manual annotation of DAs, which are then used
Externí odkaz:
http://arxiv.org/abs/2304.05578
Autor:
Yan, Lixiang, Sha, Lele, Zhao, Linxuan, Li, Yuheng, Martinez-Maldonado, Roberto, Chen, Guanliang, Li, Xinyu, Jin, Yueqiao, Gašević, Dragan
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of ed
Externí odkaz:
http://arxiv.org/abs/2303.13379
Autor:
Dai, Wei, Tsai, Yi-Shan, Lin, Jionghao, Aldino, Ahmad, Jin, Hua, Li, Tongguang, Gašević, Dragan, Chen, Guanliang
Publikováno v:
In Computers and Education: Artificial Intelligence December 2024 7
Akademický článek
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Publikováno v:
In Expert Systems With Applications 15 October 2023 228