中文
相关论文

相关论文: Combining Large Language Models with Tutoring Syst…

200 篇论文

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

计算机与社会 · 计算机科学 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities. Large language models (LLMs) provide new opportunities to incorporate personas to AI-based…

人机交互 · 计算机科学 2025-09-25 Haocong Cheng , Si Chen , Christopher Perdriau , Shriya Mokkapati , Yun Huang

The rapid development of Large Language Models (LLMs) opens up the possibility of using them as personal tutors. This has led to the development of several intelligent tutoring systems and learning assistants that use LLMs as back-ends with…

新兴技术 · 计算机科学 2025-06-11 Sankalan Pal Chowdhury , Terry Jingchen Zhang , Donya Rooein , Dirk Hovy , Tanja Käser , Mrinmaya Sachan

Artificial intelligence has been applied in various aspects of online education to facilitate teaching and learning. However, few approaches has been made toward a complete AI-powered tutoring system. In this work, we explore the…

人机交互 · 计算机科学 2024-08-06 Yulin Chen , Ning Ding , Hai-Tao Zheng , Zhiyuan Liu , Maosong Sun , Bowen Zhou

Family learning takes place in everyday routines where children and caregivers read, practice, and develop new skills together. Although AI is increasingly present in learning environments, most systems remain child-centered and overlook…

人机交互 · 计算机科学 2025-10-29 Yao Li , Jingyi Xie , Ya-Fang Lin , He Zhang , Ge Wang , Gaojian Huang , Rui Yu , Si Chen

Large language models (LLMs) have demonstrated the ability to generate formative feedback and instructional hints in English, making them increasingly relevant for AI-assisted education. However, their ability to provide effective…

计算与语言 · 计算机科学 2025-06-06 Junior Cedric Tonga , KV Aditya Srivatsa , Kaushal Kumar Maurya , Fajri Koto , Ekaterina Kochmar

Recent work has explored the use of large language models (LLMs) to generate tutoring responses in mathematics, yet it remains unclear how closely their instructional behavior aligns with expert human practice. We analyze a dataset of math…

计算与语言 · 计算机科学 2026-05-28 Ramatu Oiza Abdulsalam , Segun Aroyehun

Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the potential of a large language model (LLM)-powered conversational agent to deliver…

Artificial Intelligence (AI) holds transformative potential in education, enabling personalized learning, enhancing inclusivity, and encouraging creativity and curiosity. In this paper, we explore how Large Language Models (LLMs) can act as…

计算机与社会 · 计算机科学 2026-05-18 Eleonora Grassucci , Gualtiero Grassucci , Aurelio Uncini , Danilo Comminiello

Large language models (LLMs) are rapidly transforming knowledge work by improving the quality and efficiency of tasks such as writing, coding, and data analysis. However, their growing use in education has exposed a learning-performance…

Researchers have made notable progress in applying Large Language Models (LLMs) to solve math problems, as demonstrated through efforts like GSM8k, ProofNet, AlphaGeometry, and MathOdyssey. This progress has sparked interest in their…

人机交互 · 计算机科学 2025-03-24 Adit Gupta , Jennifer Reddig , Tommaso Calo , Daniel Weitekamp , Christopher J. MacLellan

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight students' (mis)use of LLMs can hinder learning outcomes.…

人机交互 · 计算机科学 2025-07-01 Ruiwei Xiao , Xinying Hou , Runlong Ye , Majeed Kazemitabaar , Nicholas Diana , Michael Liut , John Stamper

The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems. This paper explores the application of LLMs in psychological counseling, addressing…

计算与语言 · 计算机科学 2024-06-21 Wenjie Li , Tianyu Sun , Kun Qian , Wenhong Wang

Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent…

计算与语言 · 计算机科学 2024-04-26 Sankalan Pal Chowdhury , Vilém Zouhar , Mrinmaya Sachan

As students increasingly adopt large language models (LLMs) as learning aids, it is crucial to build models that are adept at handling the nuances of tutoring: they need to identify the core needs of students, be adaptive, provide…

Advancements in Large Language Models (LLMs), such as ChatGPT, offer significant opportunities to enhance instructional support in introductory programming courses. While extensive research has explored the effectiveness of LLMs in…

人机交互 · 计算机科学 2025-05-09 Muntasir Hoq , Jessica Vandenberg , Shuyin Jiao , Seung Lee , Bradford Mott , Narges Norouzi , James Lester , Bita Akram

Recent advances in large language models (LLMs) have shown promise for scalable educational applications, but their use in dialog-based tutoring systems remains challenging due to the need for effective pedagogical strategies and the high…

计算与语言 · 计算机科学 2024-10-28 Menna Fateen , Tsunenori Mine

AI-assisted learning has seen a remarkable uptick over the last few years, mainly due to the rise in popularity of Large Language Models (LLMs). Their ability to hold long-form, natural language interactions with users makes them excellent…

Teachers' growth mindset supportive language (GMSL)--rhetoric emphasizing that one's skills can be improved over time--has been shown to significantly reduce disparities in academic achievement and enhance students' learning outcomes.…

计算与语言 · 计算机科学 2023-10-17 Kunal Handa , Margaret Clapper , Jessica Boyle , Rose E Wang , Diyi Yang , David S Yeager , Dorottya Demszky
‹ 上一页 1 2 3 10 下一页 ›