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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…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

While Large Language Models (LLMs) are increasingly applied in student-facing educational tools, their potential to directly support educators through locally deployable and customizable solutions remains underexplored. Many existing…

Computers and Society · Computer Science 2025-11-18 Zarreen Reza , Alexander Mazur , Michael T. Dugdale , Robin Ray-Chaudhuri

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

Large language models (LLMs) that are tuned with instructions have demonstrated remarkable capabilities in various tasks and languages. However, their ability to generalize to underrepresented languages is limited due to the scarcity of…

Computation and Language · Computer Science 2023-10-25 Samuel Cahyawijaya , Holy Lovenia , Tiezheng Yu , Willy Chung , Pascale Fung

Large language models (LLMs) hold great promise for educational applications, particularly in intelligent tutoring systems. However, effective tutoring requires alignment with pedagogical strategies - something current LLMs lack without…

Computation and Language · Computer Science 2025-06-10 Kseniia Petukhova , Ekaterina Kochmar

Effective feedback is essential for fostering students' success in scientific inquiry. With advancements in artificial intelligence, large language models (LLMs) offer new possibilities for delivering instant and adaptive feedback. However,…

Artificial Intelligence · Computer Science 2025-02-19 Kathrin Seßler , Arne Bewersdorff , Claudia Nerdel , Enkelejda Kasneci

Reinforcement Learning (RL) algorithms often require long training to become useful, especially in complex environments with sparse rewards. While techniques like reward shaping and curriculum learning exist to accelerate training, these…

Machine Learning · Computer Science 2025-09-11 Lukas Toral , Teddy Lazebnik

The adoption of generative AI and large language models (LLMs) in education is still emerging. In this study, we explore the development and evaluation of AI teaching assistants that provide curriculum-based guidance using a…

Computation and Language · Computer Science 2025-10-06 Konstantinos Katharakis , Sippo Rossi , Raghava Rao Mukkamala

Large Language Models (LLMs) are typically aligned with human values using preference data or predefined principles such as helpfulness, honesty, and harmlessness. However, as AI systems progress toward Artificial General Intelligence (AGI)…

Computation and Language · Computer Science 2025-12-08 Panatchakorn Anantaprayoon , Nataliia Babina , Jad Tarifi , Nima Asgharbeygi

The importance of managing feedback practices in higher education has been widely recognised, as they play a crucial role in enhancing teaching, learning, and assessment processes. In today's educational landscape, feedback practices are…

Computers and Society · Computer Science 2026-02-04 Daniele Agostini , Federica Picasso

Generative artificial intelligence (AI) has the potential to scale up personalized tutoring through large language models (LLMs). Recent AI tutors are adapted for the tutoring task by training or prompting LLMs to follow effective…

Computation and Language · Computer Science 2025-07-30 Alexander Scarlatos , Naiming Liu , Jaewook Lee , Richard Baraniuk , Andrew Lan

One of the enduring challenges in education is how to empower students to take ownership of their learning by setting meaningful goals, tracking their progress, and adapting their strategies when faced with setbacks. Research has shown that…

Multiagent Systems · Computer Science 2025-08-27 Ryan Hare , Ying Tang

Due to the remarkable capabilities and growing impact of large language models (LLMs), they have been deeply integrated into many aspects of society. Thus, ensuring their alignment with human values and intentions has emerged as a critical…

The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with learning material, with many claiming that AI positively…

Artificial Intelligence · Computer Science 2025-07-18 Jarosław A. Chudziak , Adam Kostka

Novice programmers benefit from timely, personalized support that addresses individual learning gaps, yet the availability of instructors and teaching assistants is inherently limited. Large language models (LLMs) present opportunities to…

Computers and Society · Computer Science 2025-10-07 Griffin Pitts , Anurata Prabha Hridi , Arun-Balajiee Lekshmi-Narayanan

This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in…

Computers and Society · Computer Science 2023-06-21 Ethan Mollick , Lilach Mollick

The recent advancement of large language models (LLMs) has been achieved through a combo of instruction tuning and human alignment. However, building manually crafted instruction datasets and performing human alignment become the bottleneck…

Computation and Language · Computer Science 2023-10-05 Tao Feng , Zifeng Wang , Jimeng Sun

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor…

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…

Computation and Language · Computer Science 2025-06-06 Junior Cedric Tonga , KV Aditya Srivatsa , Kaushal Kumar Maurya , Fajri Koto , Ekaterina Kochmar

Recently, several multi-turn dialogue benchmarks have been proposed to evaluate the conversational abilities of large language models (LLMs). As LLMs are increasingly recognized as a key technology for advancing intelligent education, owing…

Computation and Language · Computer Science 2025-10-16 Shouang Wei , Min Zhang , Xin Lin , Bo Jiang , Zhongxiang Dai , Kun Kuang