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相关论文: Your Brain on ChatGPT: Accumulation of Cognitive D…

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As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

人机交互 · 计算机科学 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

Despite the increasing use of large language models (LLMs) in education, concerns have emerged about their potential to reduce deep thinking and active learning. This study investigates the impact of generative artificial intelligence (AI)…

人工智能 · 计算机科学 2025-07-02 Georgios P. Georgiou

Recently published work titled Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Task by Kosmyna et al. (2025) has sparked a vivid debate on the topic of artificial intelligence (AI) and…

人工智能 · 计算机科学 2026-01-06 Milos Stankovic , Ella Hirche , Sarah Kollatzsch , Julia Nadine Doetsch

This paper was a Workshop Paper. See the full paper which will be presented at CHI 2026: arXiv:2501.10551; As large language models (LLMs) become more powerful and ubiquitous, systems like ChatGPT are increasingly used by students to help…

人机交互 · 计算机科学 2026-02-13 Andrew Jelson , Sang Won Lee

The ubiquity of technologies like ChatGPT has raised concerns about their impact on student writing, particularly regarding reduced learner agency and superficial engagement with content. While standalone chat-based LLMs often produce…

人机交互 · 计算机科学 2025-06-26 Momin N. Siddiqui , Roy Pea , Hari Subramonyam

AI-based interactive assistants are advancing human-augmenting technology, yet their effects on users' mental and physiological states remain under-explored. We address this gap by analyzing how Copilot for Microsoft Word, a LLM-based…

人机交互 · 计算机科学 2025-06-05 Matthew Russell , Aman Shah , Giles Blaney , Judith Amores , Mary Czerwinski , Robert J. K. Jacob

Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, but also consistently alter the intended…

计算与语言 · 计算机科学 2026-03-20 Marwa Abdulhai , Isadora White , Yanming Wan , Ibrahim Qureshi , Joel Leibo , Max Kleiman-Weiner , Natasha Jaques

We randomly deploy questions constructed with and without use of the LLM tool and gauge the ability of the students to correctly answer, as well as their ability to correctly perceive the difference between human-authored and LLM-authored…

计算机与社会 · 计算机科学 2025-03-26 Gavin Witsken , Igor Crk , Eren Gultepe

We evaluate the effectiveness of LLM-Tutor, a large language model (LLM)-powered tutoring system that combines an AI-based proof-review tutor for real-time feedback on proof-writing and a chatbot for mathematics-related queries. Our…

This study explores how college students interact with generative AI (ChatGPT-4) during educational quizzes, focusing on reliance and predictors of AI adoption. Conducted at the early stages of ChatGPT implementation, when students had…

In recent years, the rapid development of artificial intelligence technology, especially the emergence of large language models (LLMs) such as ChatGPT, has presented significant prospects for application in the field of education. LLMs…

计算机与社会 · 计算机科学 2024-06-12 Jiayue Zhang , Yiheng Liu , Wenqi Cai , Lanlan Wu , Yali Peng , Jingjing Yu , Senqing Qi , Taotao Long , Bao Ge

With the rapid adoption of AI tools in learning contexts, it is vital to understand how these systems shape users' reading processes and cognitive engagement. We collected and analyzed text from 124 sessions with AI tools, in which students…

人机交互 · 计算机科学 2025-04-22 Yue Fu , Alexis Hiniker

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academic writing through quantitative approaches, such as word…

计算与语言 · 计算机科学 2025-05-20 Tong Bao , Yi Zhao , Jin Mao , Chengzhi Zhang

Mental health remains a major public health concern, while access to timely psychological support is often limited. AI-based dialogue systems have emerged as promising tools to address these barriers, and recent advances in large language…

计算机与社会 · 计算机科学 2026-03-16 Daeun Lee , Dongje Yoo , Migyeong Yang , Jihyun An , Christine B. Cha , Jinyoung Han

This study presents a cross-national quantitative analysis of how university students in the United States and Bangladesh interact with Large Language Models (LLMs). Based on an online survey of 318 students, results show that LLMs enhance…

计算机与社会 · 计算机科学 2025-07-09 Shahin Hossain , Shapla Khanam , Samaa Haniya , Nesma Ragab Nasr

College students increasingly use AI chatbots to support academic reading, yet we lack granular understanding of how these interactions shape their reading experience and cognitive engagement. We conducted an eight-week longitudinal study…

人机交互 · 计算机科学 2026-02-11 Yue Fu , Joel Wester , Niels Van Berkel , Alexis Hiniker

In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental…

人机交互 · 计算机科学 2024-09-27 Owen Xingjian Zhang , Shuyao Zhou , Jiayi Geng , Yuhan Liu , Sunny Xun Liu

Cognitive reappraisal is a well-studied emotion regulation strategy that helps individuals reinterpret stressful situations to reduce their impact. Many digital mental health tools struggle to support this process because rigid scripts fail…

人机交互 · 计算机科学 2026-01-05 Ananya Bhattacharjee , Jina Suh , Mohit Chandra , Javier Hernandez

Large Language Models (LLMs) are increasingly used in educational settings as interactive tools for collaboration. However, their tendency toward sycophancy, aligning with user beliefs even when incorrect, raises concerns for learning and…

人机交互 · 计算机科学 2026-05-22 Cansu Koyuturk , Sabrina Guidotti , Dimitri Ognibene

The cognitive process of Search-as-Learning (SAL) is most effective when searching promotes active encoding of information. The rise of LLMs-based chatbots, which provide instant answers, introduces a trade-off between efficiency and depth…

人机交互 · 计算机科学 2025-12-19 Yeonsun Yang , Ahyeon Shin , Mincheol Kang , Jiheon Kang , Xu Wang , Jean Y. Song
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