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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…

计算机与社会 · 计算机科学 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an English as a Foreign Language (EFL) context. Employing the Design and Development…

The widespread availability of large language models (LLMs), such as ChatGPT, has significantly impacted education, raising both opportunities and challenges. Students can frequently interact with LLM-powered, interactive learning tools,…

人工智能 · 计算机科学 2026-03-06 Hunter McNichols , Fareya Ikram , Andrew Lan

With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social development and progress. Traditional education faces…

人工智能 · 计算机科学 2023-11-23 Wensheng Gan , Zhenlian Qi , Jiayang Wu , Jerry Chun-Wei Lin

The prevalence of Large Language Models (LLMs) is revolutionizing the process of writing code. General and code LLMs have shown impressive performance in generating standalone functions and code-completion tasks with one-shot queries.…

软件工程 · 计算机科学 2025-04-28 Yibin Wang , Jiaxi Xie , Lakshminarayanan Subramanian

In recent years, the rapid development of Large Language Models (LLMs) has significantly enhanced natural language understanding and human-computer interaction, creating new opportunities in the field of robotics. However, the integration…

机器人学 · 计算机科学 2026-01-06 Shenqi Lu , Liangwei Zhang

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)…

计算机与社会 · 计算机科学 2023-12-21 Mahyar Abedi , Ibrahem Alshybani , Muhammad Rubayat Bin Shahadat , Michael S. Murillo

This study focuses on emotion-sensitive spoken dialogue in human-machine speech interaction. With the advancement of Large Language Models (LLMs), dialogue systems can handle multimodal data, including audio. Recent models have enhanced the…

声音 · 计算机科学 2024-07-30 Hongfei Xue , Yuhao Liang , Bingshen Mu , Shiliang Zhang , Mengzhe Chen , Qian Chen , Lei Xie

Intelligent dialogue systems are increasingly used in modern education and psychological counseling fields, but most existing systems are limited to a single domain, cannot deal with both educational and psychological issues, and often lack…

计算与语言 · 计算机科学 2024-12-06 Shiwen Ni , Min Yang

While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and…

人机交互 · 计算机科学 2024-09-10 Lucile Favero , Juan Antonio Pérez-Ortiz , Tanja Käser , Nuria Oliver

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…

计算与语言 · 计算机科学 2025-10-16 Shouang Wei , Min Zhang , Xin Lin , Bo Jiang , Zhongxiang Dai , Kun Kuang

Large language models (LLMs) increasingly serve as educational tools, yet evaluating their teaching capabilities remains challenging due to the resource-intensive, context-dependent, and methodologically complex nature of teacher-student…

人工智能 · 计算机科学 2025-08-01 Yao Shi , Rongkeng Liang , Yong Xu

Chatbots have become popular in educational settings, revolutionizing how students interact with material and how teachers teach. We present Curriculum-Driven EduBot, a framework for developing a chatbot that combines the interactive…

计算与语言 · 计算机科学 2024-08-06 Yu Li , Shang Qu , Jili Shen , Shangchao Min , Zhou Yu

Large language models (LLMs) are transforming education by answering questions, explaining complex concepts, and generating content across a wide range of subjects. Despite strong performance on academic benchmarks, they often fail to…

计算与语言 · 计算机科学 2025-10-21 Numaan Naeem , Abdellah El Mekki , Muhammad Abdul-Mageed

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…

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…

计算与语言 · 计算机科学 2025-01-23 Jingyuan Chen , Tao Wu , Wei Ji , Fei Wu

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…

人工智能 · 计算机科学 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

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

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…

信息检索 · 计算机科学 2025-07-03 Umar Ali Khan , Ekram Khan , Fiza Khan , Athar Ali Moinuddin

We propose a simple way to use large language models (LLMs) in education. Specifically, our method aims to improve individual comprehension by adding a novel feature to online videos. We combine the low threshold for interactivity in…

人机交互 · 计算机科学 2025-02-04 Boris Ruf , Marcin Detyniecki
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