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Reflection is widely recognized as a cornerstone of student development, fostering critical thinking, self-regulation, and deep conceptual understanding. Traditionally, reflective skills have been cultivated through structured feedback,…

人机交互 · 计算机科学 2025-09-10 Bo Yuan , Jiazi Hu

The rapid development of artificial intelligence technologies, particularly Large Language Models (LLMs), has revolutionized the landscape of lifelong learning. This paper introduces a conceptual framework for a self-constructed lifelong…

计算机与社会 · 计算机科学 2024-09-25 Kirill Krinkin , Tatiana Berlenko

The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational…

计算机与社会 · 计算机科学 2026-03-11 Junfeng Jiao , Saleh Afroogh , Kevin Chen , David Atkinson , Amit Dhurandhar

Generative AI increasingly supports educational design tasks, e.g., through Large Language Models (LLMs), demonstrating the capability to design assessment questions that are aligned with pedagogical frameworks (e.g., Bloom's taxonomy).…

人工智能 · 计算机科学 2026-05-15 Chris Davis Jaldi , Anmol Saini , Shan Zhang , Noah Schroeder , Cogan Shimizu , Eleni Ilkou

The emergence of Large Language Models (LLMs) presents transformative opportunities for education, generating numerous novel application scenarios. However, significant challenges remain: evaluation metrics vary substantially across…

计算机与社会 · 计算机科学 2025-08-01 Shou'ang Wei , Xinyun Wang , Shuzhen Bi , Jian Chen , Ruijia Li , Bo Jiang , Xin Lin , Min Zhang , Yu Song , BingDong Li , Aimin Zhou , Hao Hao

The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capabilities that are revolutionizing various domains. This paper…

计算与语言 · 计算机科学 2024-08-26 Desta Haileselassie Hagos , Rick Battle , Danda B. Rawat

Generative Artificial Intelligence (GenAI) in Education has in a few short months moved from being the topic of discussion around speculative education futures to a very concrete reality. It is clear that the future of education, as all…

计算机与社会 · 计算机科学 2023-09-25 B. Mairead Pratschke

Formative assessment is a cornerstone of effective teaching and learning, providing students with feedback to guide their learning. While there has been an exponential growth in the application of generative AI in scaling various aspects of…

计算机与社会 · 计算机科学 2025-06-03 Sapolnach Prompiengchai , Charith Narreddy , Steve Joordens

Student use of Generative AI (GenAI) products in completing their classwork, with or without their professors' knowledge and/or approval, has resulted in substantial shifts in higher education. While GenAI use is widespread, its impact on…

计算机与社会 · 计算机科学 2026-05-19 Amanda Potasznik , Daniel Haehn

Large Language Models (LLMs) are rapidly transforming education by enabling rich conversational learning experiences. This article provides a comprehensive review of how LLM-based conversational agents are being used in higher education,…

计算与语言 · 计算机科学 2025-06-25 Russell Beale

Cognitive augmentation is a cornerstone in advancing education, particularly through personalized learning. However, personalizing extensive textual materials, such as narratives and academic textbooks, remains challenging due to their…

人机交互 · 计算机科学 2025-03-11 Ryugo Morita , Ko Watanabe , Jinjia Zhou , Andreas Dengel , Shoya Ishimaru

Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes. In this survey, we present a systematic review of recent advances in applying LLM…

计算机与社会 · 计算机科学 2026-02-05 Zhendong Chu , Shen Wang , Jian Xie , Tinghui Zhu , Yibo Yan , Jinheng Ye , Aoxiao Zhong , Xuming Hu , Jing Liang , Philip S. Yu , Qingsong Wen

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated…

计算与语言 · 计算机科学 2024-10-15 Subhankar Maity , Aniket Deroy

Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling highly personalized and adaptive learning environments within Intelligent Tutoring Systems (ITS). This report delves into the integration of…

计算与语言 · 计算机科学 2024-10-15 Subhankar Maity , Aniket Deroy

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…

计算与语言 · 计算机科学 2025-10-06 Konstantinos Katharakis , Sippo Rossi , Raghava Rao Mukkamala

Generative artificial intelligence (GenAI) holds great promise as a tool to support personalized learning. Teachers need tools to efficiently and effectively enhance content readability of educational texts so that they are matched to…

The recent surge in generative AI technologies, such as large language models and diffusion models, has boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive…

计算机与社会 · 计算机科学 2024-07-02 Hang Li , Tianlong Xu , Chaoli Zhang , Eason Chen , Jing Liang , Xing Fan , Haoyang Li , Jiliang Tang , Qingsong Wen

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…

人工智能 · 计算机科学 2025-02-14 Kyle Spriggs , Meng Cheng Lau , Kalpdrum Passi

Generative AI (GAI) technologies are quickly reshaping the educational landscape. As adoption accelerates, understanding how students and educators perceive these tools is essential. This study presents one of the most comprehensive…

社会与信息网络 · 计算机科学 2026-01-07 Paulina DeVito , Akhil Vallala , Sean Mcmahon , Yaroslav Hinda , Benjamin Thaw , Hanqi Zhuang , Hari Kalva

The advent of Large Multimodal Models (LMMs) offers a promising technology to tackle the limitations of modular design in autonomous driving, which often falters in open-world scenarios requiring sustained environmental understanding and…

机器人学 · 计算机科学 2026-01-21 Long Zhang , Yuchen Xia , Bingqing Wei , Zhen Liu , Shiwen Mao , Zhu Han , Mohsen Guizani