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The Metaverse is regarded as the next-generation Internet paradigm that allows humans to play, work, and socialize in an alternative virtual world with immersive experience, for instance, via head-mounted display for Virtual Reality (VR)…

Computer Science and Game Theory · Computer Science 2021-11-09 Minrui Xu , Dusit Niyato , Jiawen Kang , Zehui Xiong , Chunyan Miao , Dong In Kim

While there is evidence that user-adaptive support can greatly enhance the effectiveness of educational systems, designing such support for exploratory learning environments (e.g., simulations) is still challenging due to the open-ended…

Artificial Intelligence · Computer Science 2021-06-15 Sébastien Lallé , Cristina Conati

This chapter will survey pervasive computing with a look at how its constraint for transparency affects issues of resource management and security. The goal of pervasive computing is to render computing transparent, such that computing…

Human-Computer Interaction · Computer Science 2008-01-22 Mark Wenstrom , Eloisa Bentivegna , Ali Hurson

Recent advances in meta-optics have enabled diverse functionalities in compact optical devices; however, conventional forward design approaches become inadequate as device complexity and scale grow. Inverse design offers a powerful…

Neurodiverse learners often require reading supports, yet increasing scaffold richness can sometimes overload attention and working memory rather than improve comprehension. Grounded in the Construction-Integration model and a contingent…

Computation and Language · Computer Science 2026-04-03 Soufiane Jhilal , Eleonora Pasqua , Caterina Marchesi , Riccardo Corradi , Martina Galletti

Federated learning is an emerging research paradigm enabling collaborative training of machine learning models among different organizations while keeping data private at each institution. Despite recent progress, there remain fundamental…

Machine Learning · Computer Science 2022-04-15 Liangqiong Qu , Yuyin Zhou , Paul Pu Liang , Yingda Xia , Feifei Wang , Ehsan Adeli , Li Fei-Fei , Daniel Rubin

The rapid expansion in the size of new datasets has created a need for fast and efficient parameter-learning techniques. Compressive learning is a framework that enables efficient processing by using random, non-linear features to project…

Machine Learning · Computer Science 2025-08-18 Daniel Mas Montserrat , David Bonet , Maria Perera , Xavier Giró-i-Nieto , Alexander G. Ioannidis

Recent advances in artificial intelligence have created new possibilities for making education more scalable, adaptive, and learner-centered. However, existing educational chatbot systems often lack contextual adaptability, real-time…

Computation and Language · Computer Science 2026-02-10 Mohamed El Hajji , Tarek Ait Baha , Aicha Dakir , Hammou Fadili , Youssef Es-Saady

Societal-scale deployment of autonomous vehicles requires them to coexist with human drivers, necessitating mutual understanding and coordination among these entities. However, purely real-world or simulation-based experiments cannot be…

Robotics · Computer Science 2025-02-04 Tanmay Vilas Samak , Chinmay Vilas Samak , Venkat Narayan Krovi

Human education transcends mere knowledge transfer, it relies on co-adaptation dynamics -- the mutual adjustment of teaching and learning strategies between agents. Despite its centrality, computational models of co-adaptive teacher-student…

Computers and Society · Computer Science 2025-05-07 Francesco Balzan , Pedro P. Santos , Maurizio Gabbrielli , Mahault Albarracin , Manuel Lopes

In the expanding field of machine learning, federated learning has emerged as a pivotal methodology for distributed data environments, ensuring privacy while leveraging decentralized data sources. However, the heterogeneity of client data…

Machine Learning · Computer Science 2025-01-28 Alice Smith , Bob Johnson , Michael Geller

Federated Learning (FL) enables decentralized training of machine learning models on distributed data while preserving privacy. However, in real-world FL settings, client data is often non-identically distributed and imbalanced, resulting…

Machine Learning · Computer Science 2025-09-18 Gergely D. Németh , Eros Fanì , Yeat Jeng Ng , Barbara Caputo , Miguel Ángel Lozano , Nuria Oliver , Novi Quadrianto

This article introduces a comprehensive metaverse framework, which is designed for the simulation, emulation, and interaction with wireless systems. The proposed framework integrates core metaverse technologies such as extended reality…

Networking and Internet Architecture · Computer Science 2025-08-07 Ilias Chrysovergis , Alexandros-Apostolos A. Boulogeorgos , Theodoros A. Tsiftsis , Dusit Niyato

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

In this article, the authors provide a comprehensive overview on three core pillars of metaverse-as-a-service (MaaS) platforms; privacy and security, edge computing, and blockchain technology. The article starts by investigating security…

Cryptography and Security · Computer Science 2023-01-13 Vesal Ahsani , Ali Rahimi , Mehdi Letafati , Babak Hossein Khalaj

The Metaverse comprises technologies to enable virtual twins of the real world, via mixed reality, internet of things, and others. As it matures unique challenges arise such as a lack of strong connections between virtual and physical…

Human-Computer Interaction · Computer Science 2023-06-05 Jie Guan , Alexis Morris , Jay Irizawa

Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability of wearable neurotechnology in adaptive human-in-the-loop…

Human-Computer Interaction · Computer Science 2021-10-25 Mojtaba Taherisadr , Berken Utku Demirel , Mohammad Abdullah Al Faruque , Salma Elmalaki

The emergence of the metaverse - envisioned as a hyperreal virtual universe enabling boundless human interaction - has the potential to revolutionize our conception of media. This transformation could alter society as we know it. This paper…

Computers and Society · Computer Science 2025-08-26 Ljubisa Bojic , Joerg Matthes , Agariadne Dwinggo Samala , Milan Cabarkapa

The integration of artificial intelligence (AI) into science education is transforming the design and function of learning materials, offering new affordances for personalization, authenticity, and accessibility. This chapter examines how…

Computers and Society · Computer Science 2026-02-25 Xiaoming Zhai , Kent Crippen

Learning difficulties pose significant challenges for students, impacting their academic performance and overall educational experience. These difficulties could sometimes put students into a downward spiral that lack of educational…

Human-Computer Interaction · Computer Science 2024-03-12 Aaron Hu
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