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In this paper, we argue that the future of Artificial Intelligence research resides in two keywords: integration and embodiment. We support this claim by analyzing the recent advances of the field. Regarding integration, we note that the…

Generative AI and agentic tools are reshaping agile software development, yet many engineering curricula still teach agile methods and AI competencies separately and largely lecture-based. This paper presents a project-based AI Engineering…

软件工程 · 计算机科学 2026-03-11 Andreas Rausch , Stefan Wittek , Tobias Geger , David Inkermann

Implementations of mobile games have become prevalent industrial technology due to the ubiquitous nature of mobile devices. However, simultaneous-movement multiplayer games, games that a player competes simultaneously with other players,…

计算机科学与博弈论 · 计算机科学 2012-09-17 Samuel King Opoku

AI-powered educational technologies have demonstrated measurable benefits for learners, but their design and evaluation have largely centered on K-12 contexts. As a result, many AI-supported learning systems remain poorly aligned with the…

Recent advances in artificial intelligence have been strongly driven by the use of game environments for training and evaluating agents. Games are often accessible and versatile, with well-defined state-transitions and goals allowing for…

机器学习 · 计算机科学 2019-09-19 Benjamin Beyret , José Hernández-Orallo , Lucy Cheke , Marta Halina , Murray Shanahan , Matthew Crosby

Game development is an interdisciplinary concept that embraces artistic, software engineering, management, and business disciplines. This research facilitates a better understanding of important dimensions of digital game development…

软件工程 · 计算机科学 2017-11-27 Saiqa Aleem , Luiz Fernando Capretz , Faheem Ahmed

Interactive machine learning (IML) is a field of research that explores how to leverage both human and computational abilities in decision making systems. IML represents a collaboration between multiple complementary human and machine…

人机交互 · 计算机科学 2022-04-21 Kory W. Mathewson , Patrick M. Pilarski

Continual Learning (CL) aims to enable models to continuously acquire new knowledge from a sequence of tasks with avoiding the forgetting of learned information. However, existing CL methods only rely on the parameters of the most recent…

机器学习 · 计算机科学 2025-10-24 Haomiao Qiu , Miao Zhang , Ziyue Qiao , Liqiang Nie

Architectural Education faces limitations due to its tactile approach to learning in classrooms with only 2-D and 3-D tools. At a higher level, virtual reality provides a potential for delivering more information to individuals undergoing…

人机交互 · 计算机科学 2022-01-26 Hassan Anifowose , Wei Yan , Manish Dixit

It has been established in recent work that Large Language Models (LLMs) can be prompted to "self-play" conversational games that probe certain capabilities (general instruction following, strategic goal orientation, language understanding…

计算与语言 · 计算机科学 2024-06-03 Anne Beyer , Kranti Chalamalasetti , Sherzod Hakimov , Brielen Madureira , Philipp Sadler , David Schlangen

Adding game elements to higher education is an increasingly common practice. As a result, many recent empirical studies focus on studying the effectiveness of gamified or game-based educational experiences. The findings of these studies are…

计算机与社会 · 计算机科学 2024-07-08 Giulio Barbero , Marcello M. Bonsangue , Felienne F. J. Hermans

In this paper, we investigate code-integrated reasoning, where models generate code when necessary and integrate feedback by executing it through a code interpreter. To acquire this capability, models must learn when and how to use external…

计算与语言 · 计算机科学 2025-06-02 Fei Bai , Yingqian Min , Beichen Zhang , Zhipeng Chen , Wayne Xin Zhao , Lei Fang , Zheng Liu , Zhongyuan Wang , Ji-Rong Wen

Software reuse has long been recognized as a critical and widely studied topic in software engineering, offering substantial benefits in reducing development costs, improving software quality, and enhancing operational efficiency. This…

软件工程 · 计算机科学 2026-02-02 You Lu , Jiyang Zhang , Bihuan Chen , Chaofeng Sha , Dingji Wang , Xin Peng

This study examines the integration of digital tools in project-based learning within a Biomedical Engineering course to enhance collaboration, transparency, and assessment fairness. Building on prior pilot experiences, we implemented a…

计算机与社会 · 计算机科学 2025-09-09 Gonzalo R. Ríos-Muñoz , Caterina Fuster-Barcelo , Arrate Muñoz-Barrutia

The evaluation of interactive machine learning systems remains a difficult task. These systems learn from and adapt to the human, but at the same time, the human receives feedback and adapts to the system. Getting a clear understanding of…

人工智能 · 计算机科学 2018-01-25 Nadia Boukhelifa , Anastasia Bezerianos , Evelyne Lutton

This study employs gamified experiments to investigate and refine the Schelling Model of Segregation, a framework that demonstrates how individual preferences can lead to systemic segregation. Using a movement selection algorithm derived…

物理与社会 · 物理学 2025-01-15 Aleix Nicolás Olivé , Luce Prignano , Dimitri Marinelli , Emanuele Cozzo

Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time. As a result, most existing research benchmarks consist of individual games or suites of games that have common interfaces but little overlap in…

Motivational digital systems offer capabilities to engage and motivate end-users to foster behavioral changes towards a common goal. In general these systems use gamification principles in non-games contexts. Over the years, gamification…

人工智能 · 计算机科学 2021-03-30 Antonio Bucchiarone , Antonio Cicchetti , Nelly Bencomo , Enrica Loria , Annapaola Marconi

The rapid uptake of generative artificial intelligence (AI) in higher education is reshaping assessment practices and intensifying concerns around academic integrity, fairness, and learning quality. While institutional responses…

计算机与社会 · 计算机科学 2026-05-28 Ndidi Bianca Ogbo , Zhao Song , Shatha Ghareeb , The Anh Han

Federated machine learning is growing fast in academia and industries as a solution to solve data hungriness and privacy issues in machine learning. Being a widely distributed system, federated machine learning requires various system…

机器学习 · 计算机科学 2023-05-01 Sin Kit Lo , Qinghua Lu , Hye-Young Paik , Liming Zhu