中文
相关论文

相关论文: What Students Ask, How a Generative AI Assistant R…

200 篇论文

The integration of Generative AI (GenAI) into education has raised concerns about over-reliance and superficial learning, particularly in writing tasks in higher education. This study explores whether a theory-driven learning analytics…

人机交互 · 计算机科学 2025-06-25 Angxuan Chen , Jingjing Lian , Xinran Kuang , Jiyou Jia

Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educational effectiveness has not always matched the sophistication…

This study investigated the impact of a theory-driven, explainable Learning Analytics Dashboard (LAD) on university students' human-AI collaborative academic abstract writing task. Grounded in Self-Regulated Learning (SRL) theory and…

人机交互 · 计算机科学 2025-06-23 Angxuan Chen

The rise of Human-AI Collaborative Learning (HAICL) is shifting education toward dialogue-centric paradigms, creating an urgent need for new assessment methods. Evaluating Self-Regulated Learning (SRL) in this context presents new…

计算机与社会 · 计算机科学 2026-01-21 Long Zhang , Fangwei Lin , Weilin Wang

The integration of Generative AI (GenAI) into education is reshaping how students learn, making self-regulated learning (SRL) - the ability to plan, monitor, and adapt one's learning - more important than ever. To support learners in these…

人机交互 · 计算机科学 2025-08-15 Kaixun Yang , Yizhou Fan , Luzhen Tang , Mladen Raković , Xinyu Li , Dragan Gašević , Guanliang Chen

Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators. Yet many students experienced difficulties in…

There has been a growing trend in employing generative artificial intelligence (GenAI) techniques to support learning. Moreover, scholars have reached a consensus on the critical role of self-regulated learning (SRL) in ensuring learning…

计算机与社会 · 计算机科学 2026-01-27 Jie Gao , Shasha Li , Jianhua Zhang , Shan Li , Tingting Wang

Generative AI tools are increasingly used for coursework help, shifting much of students' help-seeking and reasoning into student-AI chats that are largely invisible to instructors. This loss of visibility can weaken instructors' ability to…

人机交互 · 计算机科学 2026-03-25 Boxuan Ma , Baofeng Ren , Huiyong Li , Gen Li , Li Chen , Atsushi Shimada , Shin'Ichi Konomi

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models and diffusion models, holds significant potential for transforming education and enhancing human productivity.…

计算机与社会 · 计算机科学 2023-12-25 Lixiang Yan , Roberto Martinez-Maldonado , Dragan Gašević

Providing rich, constructive feedback to students is essential for supporting and enhancing their learning. Recent advancements in Generative Artificial Intelligence (AI), particularly with large language models (LLMs), present new…

计算机与社会 · 计算机科学 2025-07-11 Euan D Lindsay , Mike Zhang , Aditya Johri , Johannes Bjerva

Feedback is essential for learning, but its effectiveness relies heavily on how well it engages students in the educational process. Generative AI offers novel opportunities to efficiently produce rich, formative feedback, ranging from…

Generative AI(GenAI) is a kind of AI model capable of producing human-like content in various modalities, including text, image, audio, video, and computer programming. Although GenAI offers great potential for education, its value often…

人机交互 · 计算机科学 2025-12-09 Yun Dai , Sichen Lai

The increasing adoption of generative AI (GenAI) tools such as chatbots in education presents new opportunities to support students' self-regulated learning (SRL), but also raises concerns about how learners actually engage in planning,…

计算机与社会 · 计算机科学 2025-10-03 Yilin Lyu , Ren Ding

The potential of Generative AI (GenAI) for generating feedback in computing education has been the subject of numerous studies. However, there is still limited research on how computing students engage with this feedback and to what extent…

计算机与社会 · 计算机科学 2025-09-15 Sven Jacobs , Maurice Kempf , Natalie Kiesler

The rapid adoption of generative artificial intelligence (GenAI) in schools raises concerns about students' uncritical reliance on its outputs. Effective use of large language models (LLMs) requires not only technical knowledge but also the…

计算机与社会 · 计算机科学 2026-04-03 O. Clerc , R. Abdelghani , C. Desvaux , E. Poisson , P. Y. Oudeyer , H. Sauzéon

Generative AI tools such as ChatGPT now provide novice programmers with unprecedented access to instant, personalized support. While this holds clear promise, their influence on students' metacognitive processes remains underexplored.…

人机交互 · 计算机科学 2025-11-07 Boxuan Ma , Huiyong Li , Gen Li , Li Chen , Cheng Tang , Yinjie Xie , Chenghao Gu , Atsushi Shimada , Shin'ichi Konomi

Learning analytics (LA) provides data-driven feedback that aims to improve learning and inform action. For learners, LA-based feedback may scaffold self-regulated learning skills, which are crucial to learning success. For teachers,…

人机交互 · 计算机科学 2023-07-07 Yi-Shan Tsai

With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI…

计算机与社会 · 计算机科学 2024-03-26 Bart Rienties , John Domingue , Subby Duttaroy , Christothea Herodotou , Felipe Tessarolo , Denise Whitelock

Reflection is widely recognized as a cornerstone of student development, fostering critical thinking, self-regulation, and deep conceptual understanding. Traditionally, reflective skills have been cultivated through structured feedback,…

人机交互 · 计算机科学 2025-09-10 Bo Yuan , Jiazi Hu

The study was conducted in an Advanced Quantitative Research Methods course involving 20 graduate students. During the course, student inquiries made to the AI were recorded and coded using Bloom's taxonomy and the CLEAR framework. A series…

人机交互 · 计算机科学 2025-06-04 Zhanxin Hao , Haifeng Luo , Yongyi Chen , Yu Zhang
‹ 上一页 1 2 3 10 下一页 ›