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Large Language Models (LLMs) have demonstrated remarkable capabilities for reinforcement learning (RL) models, such as planning and reasoning capabilities. However, the problems of LLMs and RL model collaboration still need to be solved. In…

Computation and Language · Computer Science 2025-03-04 Shangding Gu

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

Artificial Intelligence · Computer Science 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

Recent breakthroughs in Large Language Models (LLMs), such as GPT-3 and Codex, now enable software developers to generate code based on a natural language prompt. Within computer science education, researchers are exploring the potential…

Computers and Society · Computer Science 2022-12-13 Stephen MacNeil , Andrew Tran , Juho Leinonen , Paul Denny , Joanne Kim , Arto Hellas , Seth Bernstein , Sami Sarsa

Large language models (LLMs) have the potential to enhance K-12 STEM education by improving both teaching and learning processes. While previous studies have shown promising results, there is still a lack of comprehensive understanding…

Computation and Language · Computer Science 2024-10-16 Eason Chen , Danyang Wang , Luyi Xu , Chen Cao , Xiao Fang , Jionghao Lin

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…

Human-Computer Interaction · Computer Science 2024-08-06 Yulin Chen , Ning Ding , Hai-Tao Zheng , Zhiyuan Liu , Maosong Sun , Bowen Zhou

The widespread adoption of large language models (LLMs) marks a transformative era in technology, especially within the educational sector. This paper explores the integration of LLMs within learning management systems (LMSs) to develop an…

Artificial Intelligence · Computer Science 2025-02-14 Kyle Spriggs , Meng Cheng Lau , Kalpdrum Passi

The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching, learning, and assessment. This cutting-edge tutorial provides an overview of the…

Computation and Language · Computer Science 2024-09-19 Bashar Alhafni , Sowmya Vajjala , Stefano Bannò , Kaushal Kumar Maurya , Ekaterina Kochmar

Providing personalized assistance at scale is a long-standing challenge for computing educators, but a new generation of tools powered by large language models (LLMs) offers immense promise. Such tools can, in theory, provide on-demand help…

Computers and Society · Computer Science 2024-01-09 Brad Sheese , Mark Liffiton , Jaromir Savelka , Paul Denny

Large language models (LLMs) are promising tools for scaffolding students' English writing skills, but their effectiveness in real-time K-12 classrooms remains underexplored. Addressing this gap, our study examines the benefits and…

Human-Computer Interaction · Computer Science 2026-03-03 Junho Myung , Hyunseung Lim , Hana Oh , Hyoungwook Jin , Nayeon Kang , So-Yeon Ahn , Hwajung Hong , Alice Oh , Juho Kim

In children's collaborative learning, effective peer conversations can significantly enhance the quality of children's collaborative interactions. The integration of Large Language Model (LLM) agents into this setting explores their novel…

Human-Computer Interaction · Computer Science 2024-03-22 Jiawen Liu , Yuanyuan Yao , Pengcheng An , Qi Wang

An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard…

Virtual Labs offer valuable opportunities for hands-on, inquiry-based science learning, yet teachers often struggle to adapt them to fit their instructional goals. Third-party materials may not align with classroom needs, and developing…

Computation and Language · Computer Science 2025-10-09 R. Alexander Knipper , Indrani Dey , Souvika Sarkar , Hari Narayanan , Sadhana Puntambekar , Santu Karmaker

Design studies aim to create visualization solutions for real-world problems of different application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process,…

Human-Computer Interaction · Computer Science 2025-08-14 Shaolun Ruan , Rui Sheng , Xiaolin Wen , Jiachen Wang , Tianyi Zhang , Yong Wang , Tim Dwyer , Jiannan Li

Large Language Models (LLMs) have shown great potential in intelligent visualization systems, especially for domain-specific applications. Integrating LLMs into visualization systems presents challenges, and we categorize these challenges…

Human-Computer Interaction · Computer Science 2024-07-31 Lin Gao , Jing Lu , Zekai Shao , Ziyue Lin , Shengbin Yue , Chiokit Ieong , Yi Sun , Rory James Zauner , Zhongyu Wei , Siming Chen

AI chatbots have emerged as promising educational tools for personalized learning experiences, with advances in large language models (LLMs) enabling teachers to create and customize these chatbots for their specific classroom needs.…

Human-Computer Interaction · Computer Science 2025-04-07 Minju Yoo , Hyoungwook Jin , Juho Kim

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and show great promise for providing on-demand help at a large…

Computers and Society · Computer Science 2023-08-15 Mark Liffiton , Brad Sheese , Jaromir Savelka , Paul Denny

Large language models (LLMs) can transform education, but their optimization for direct question-answering often undermines effective pedagogy which requires strategically withholding answers. To mitigate this, we propose an online…

Computation and Language · Computer Science 2025-10-14 David Dinucu-Jianu , Jakub Macina , Nico Daheim , Ido Hakimi , Iryna Gurevych , Mrinmaya Sachan

The effect of large language models (LLMs) in education is debated: Previous research shows that LLMs can help as well as hurt learning. In two pre-registered and incentivized laboratory experiments, we find no effect of LLMs on overall…

Computers and Society · Computer Science 2025-03-11 Matthias Lehmann , Philipp B. Cornelius , Fabian J. Sting

Large language models (LLMs) have emerged as powerful tools in natural language processing (NLP), showing a promising future of artificial generated intelligence (AGI). Despite their notable performance in the general domain, LLMs have…

Computation and Language · Computer Science 2025-01-23 Jingyuan Chen , Tao Wu , Wei Ji , Fei Wu