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Providing sufficient support for students requires substantial resources, especially considering the growing enrollment numbers. Students need help in a variety of tasks, ranging from information-seeking to requiring support with course…

Computers and Society · Computer Science 2024-10-18 Leonardo Pasquarelli , Charles Koutcheme , Arto Hellas

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

The emergence of Large Language Models (LLMs) has significantly impacted the field of Natural Language Processing and has transformed conversational tasks across various domains because of their widespread integration in applications and…

Computers and Society · Computer Science 2024-08-06 Sagnik Dakshit

This study evaluates the performance of Large Language Models (LLMs) as an Artificial Intelligence-based tutor for a university course. In particular, different advanced techniques are utilized, such as prompt engineering,…

Most evaluations of large language models focus on standard tasks such as factual question answering or short summarization. This research expands that scope in two directions: first, by comparing two retrieval strategies, Graph RAG,…

Computation and Language · Computer Science 2025-12-02 Nicole Favero , Francesca Salute , Daniel Hardt

Large Language Models (LLMs) have proven immensely beneficial in education by capturing vast amounts of literature-based information, allowing them to generate context without relying on external sources. In this paper, we propose a…

Information Retrieval · Computer Science 2025-07-03 Umar Ali Khan , Ekram Khan , Fiza Khan , Athar Ali Moinuddin

Large Language Models (LLMs) have demonstrated impressive capabilities in answering questions, but they lack domain-specific knowledge and are prone to hallucinations. Retrieval Augmented Generation (RAG) is one approach to address these…

Computation and Language · Computer Science 2024-10-30 Monica Riedler , Stefan Langer

Most universities in the United States encourage their students to explore academic areas before declaring a major and to acquire academic breadth by satisfying a variety of requirements. Each term, students must choose among many thousands…

Information Retrieval · Computer Science 2024-12-31 Hugh Van Deventer , Mark Mills , August Evrard

With the rapid advancement of Artificial Intelligence, particularly in Natural Language Processing, Large Language Models (LLMs) have become pivotal in educational question-answering systems, especially university admission chatbots.…

Computation and Language · Computer Science 2025-01-29 Long Nguyen , Tho Quan

This tutorial explores the advancements and challenges in the development of Large Language Models (LLMs) such as ChatGPT and Gemini. It addresses inherent limitations like temporal knowledge cutoffs, mathematical inaccuracies, and the…

Computation and Language · Computer Science 2024-11-13 Giorgio Roffo

Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the…

Artificial Intelligence · Computer Science 2024-12-06 Dominic Lohr , Marc Berges , Abhishek Chugh , Michael Kohlhase , Dennis Müller

The integration of large language models (LLMs) into education offers significant potential to enhance accessibility and engagement, yet their high computational demands limit usability in low-resource settings, exacerbating educational…

Computers and Society · Computer Science 2025-10-09 Juan Segundo Hevia , Facundo Arredondo , Vishesh Kumar

Large language models like ChatGPT are increasingly used in classrooms, but they often provide outdated or fabricated information that can mislead students. Retrieval Augmented Generation (RAG) improves reliability of LLMs by grounding…

Artificial Intelligence · Computer Science 2025-09-10 Amay Jain , Liu Cui , Si Chen

Technology-enhanced learning environments often help students retrieve relevant learning content for questions arising during self-paced study. Large language models (LLMs) have emerged as novel aids for information retrieval during…

Information Retrieval · Computer Science 2025-09-29 Eason Chen , Chuangji Li , Shizhuo Li , Zimo Xiao , Jionghao Lin , Kenneth R. Koedinger

The course forums are increasingly significant and play vital role in facilitating student discussions and answering their questions related to the course. It provides a platform for students to post their questions related to the content…

Computation and Language · Computer Science 2025-11-14 Neo Wang , Sonit Singh

In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions: the potential integration of large language models (LLMs)…

Computers and Society · Computer Science 2023-12-21 Mahyar Abedi , Ibrahem Alshybani , Muhammad Rubayat Bin Shahadat , Michael S. Murillo

Large language models (LLMs) have emerged as powerful tools for knowledge-intensive tasks across domains. In materials science, to find novel materials for various energy efficient devices for various real-world applications, requires…

Materials Science · Physics 2025-08-12 Agada Joseph Oche , Arpan Biswas

Large Language Models are increasingly being used for various tasks including content generation and as chatbots. Despite their impressive performances in general tasks, LLMs need to be aligned when applying for domain specific tasks to…

Computation and Language · Computer Science 2023-08-02 S. S. Manathunga , Y. A. Illangasekara

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

The arrival of AI tools and in particular Large Language Models (LLMs) has had a transformative impact on teaching and learning and institutes are still trying to determine how to integrate LLMs into education in constructive ways. Here, we…

Human-Computer Interaction · Computer Science 2025-09-18 Steven Watterson , Sarah Atkinson , Elaine Murray , Andrew McDowell
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