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The digital age is changing the role of educators and pushing for a paradigm shift in the education system as a whole. Growing demand for general and specialized education inside and outside classrooms is at the heart of this rising trend.…

软件工程 · 计算机科学 2022-10-28 Antonio Bucchiarone , Tommaso Martorella , Diego Colombo

Over the past decade, higher education has undergone successive shifts driven by three major developments: Massive Open Online Courses (MOOCs), Smart Teaching technologies, and AI-enhanced learning. Each paradigm emerged to address specific…

计算机与社会 · 计算机科学 2026-03-09 Bo Yuan , Jiazi Hu

Gamification is widely used in digital learning. However, most systems neglect age-related differences. This paper investigates how gamification can be designed in an age-aware way to address learners' diverse motivational and cognitive…

多媒体 · 计算机科学 2025-12-18 Sarah Kaißer , Markus Kleffmann , Kristina Schaaff

In the rapidly evolving educational landscape, the integration of technology has shifted from an enhancement to a cornerstone of educational strategy worldwide. This transition is propelled by advancements in digital technology, especially…

计算机与社会 · 计算机科学 2025-10-15 Ananth Hariharan

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged…

计算机与社会 · 计算机科学 2024-05-20 Harris Bin Munawar , Nikolaos Misirlis

Adaptive learning aims to stimulate and meet the needs of individual learners, which requires sophisticated system-level coordination of diverse tasks, including modeling learning resources, estimating student states, and making…

计算机与社会 · 计算机科学 2022-08-10 Qingyang Zhong , Jifan Yu , Zheyuan Zhang , Yiming Mao , Yuquan Wang , Yankai Lin , Lei Hou , Juanzi Li , Jie Tang

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization:…

机器学习 · 计算机科学 2023-05-12 Jean Vassoyan , Jill-Jênn Vie , Pirmin Lemberger

Rapid innovations in AI and large language models (LLMs) have accelerated the adoption of digital learning, particularly beyond formal education. What began as an emergency response during COVID-19 has shifted from a supplementary resource…

计算机与社会 · 计算机科学 2026-02-04 Geeta Puri , Nachamma Socklingam , Dorien Herremans

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…

多智能体系统 · 计算机科学 2025-08-27 Ryan Hare , Ying Tang

Personalized learning (PL) aspires to provide an alternative to the one-size-fits-all approach in education. Technology-based PL solutions have shown notable effectiveness in enhancing learning performance. However, their alignment with the…

计算机与社会 · 计算机科学 2025-03-24 Kristjan-Julius Laak , Jaan Aru

The research is aimed at developing the recommendations for educators on using adaptive technologies and augmented reality in personalized learning implementation. The latest educational technologies related to learning personalization and…

计算机与社会 · 计算机科学 2020-11-12 Maiia Marienko , Yulia Nosenko , Mariya Shyshkina

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

Current changes in society and the education system, cumulated with the accelerated development of new technologies, entail inherent changes in the educational process. Numerous studies have shown that the pandemic has forced a rapid…

计算机与社会 · 计算机科学 2022-05-16 Ovidiu Gherman , Cristina Elena Turcu , Corneliu Octavian Turcu

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

This paper explores the transformative impact of Generative Artificial Intelligence (GenAI) on teachers' roles and agencies in education, presenting a comprehensive framework that addresses teachers' perceptions, knowledge, acceptance, and…

计算机与社会 · 计算机科学 2024-10-07 Xiaoming Zhai

The recent successes of deep learning and deep reinforcement learning have firmly established their statuses as state-of-the-art artificial learning techniques. However, longstanding drawbacks of these approaches, such as their poor sample…

人工智能 · 计算机科学 2020-02-05 Thommen George Karimpanal

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

Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a framework for Adaptive Learning Systems that leverages…

计算机与社会 · 计算机科学 2025-07-28 Yongjie Li , Ruilin Nong , Jianan Liu , Lucas Evans

The rapid development of Generative AI (GAI) has sparked revolutionary changes across various aspects of education. Personalized learning, a focal point and challenge in educational research, has also been influenced by the development of…

人工智能 · 计算机科学 2025-02-27 Yuang Wei , Yuan-Hao Jiang , Jiayi Liu , Changyong Qi , Linzhao Jia , Rui Jia

AI-driven education platforms have made some progress in personalisation, yet most remain constrained to static adaptation--predefined quizzes, uniform pacing, or generic feedback--limiting their ability to respond to learners' evolving…

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