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相关论文: Making Design Practices Visible to Young Learners

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Integrating Large Language Models (LLMs) in educational technology presents unprecedented opportunities to improve instructional design (ID), yet existing approaches often prioritize automation over pedagogical rigor and human agency. This…

计算机与社会 · 计算机科学 2025-03-13 Hongming Li , Yizirui Fang , Shan Zhang , Seiyon M. Lee , Yiming Wang , Mark Trexler , Anthony F. Botelho

Mathematical modelling (MM) is a key competency for solving complex real-world problems, yet many students struggle with abstraction, representation, and iterative reasoning. Artificial intelligence (AI) has been proposed as a support for…

人机交互 · 计算机科学 2025-10-09 Wangda Zhu , Guang Chen , Yumeng Zhu , Lei Cai , Xiangen Hu

Learning new skills by observing humans' behaviors is an essential capability of AI. In this work, we leverage instructional videos to study humans' decision-making processes, focusing on learning a model to plan goal-directed actions in…

计算机视觉与模式识别 · 计算机科学 2021-10-12 Jing Bi , Jiebo Luo , Chenliang Xu

We propose the DHAC conceptual model of teacher preparation (Development of Habits through Apprenticeship in a Community), which builds on the contemporary literature on teacher preparation in physics and other disciplines and strives to…

物理教育 · 物理学 2016-06-03 Eugenia Etkina , Bor Gregorcic , Stamatis Vokos

Embedding of large but redundant data, such as images or text, in a hierarchy of lower-dimensional spaces is one of the key features of representation learning approaches, which nowadays provide state-of-the-art solutions to problems once…

计算机视觉与模式识别 · 计算机科学 2022-06-13 Gianluca Berardi , Luca De Luigi , Samuele Salti , Luigi Di Stefano

Humans can leverage hierarchical structures to split a task into sub-tasks and solve problems efficiently. Both imitation and reinforcement learning or a combination of them with hierarchical structures have been proven to be an efficient…

机器人学 · 计算机科学 2020-12-15 Yaru Niu , Yijun Gu

This study investigates learners' preferences for game design elements (GDEs) in educational contexts to inform the development of purpose-driven gamification strategies. It emphasizes a learner-centered approach that aligns gamification…

软件工程 · 计算机科学 2025-12-10 Kai Marquardt , Mona Schulz , Anne Koziolek , Lucia Happe

As pervasive data collection and powerful algorithms increasingly shape children's experience of the world and each other, their ability to interrogate computational algorithms has become crucially important. A growing body of work has…

人机交互 · 计算机科学 2023-07-18 Sayamindu Dasgupta , Benjamin Mako Hill

Curiosity-driven learning has shown significant positive effects on students' learning experiences and outcomes. But despite this importance, reports show that children lack this skill, especially in formal educational settings. To address…

计算机与社会 · 计算机科学 2024-03-14 Rania Abdelghani , Edith Law , Chloé Desvaux , Pierre-Yves Oudeyer , Hélène Sauzéon

Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge concepts. With the increasing adoption of intelligent education applications, accurately assessing students' knowledge mastery has become an urgent…

计算机与社会 · 计算机科学 2024-12-09 Xinjie Sun , Qi Liu , Kai Zhang , Shuanghong Shen , Fei Wang , Yan Zhuang , Zheng Zhang , Weiyin Gong , Shijin Wang , Lina Yang , Xingying Huo

Due in part to the increased pace of cultural and environmental change, as well as increased competition due to globalization, innovation is become one of the primary concerns of the 21st century. We present an academic course designed to…

物理教育 · 物理学 2016-02-09 Sophie Morin , Jean-Marc Robert , Liane Gabora

Prototypical Learning is based on the idea that there is a point (which we call prototype) around which the embeddings of a class are clustered. It has shown promising results in scenarios with little labeled data or to design explainable…

Cognitive diagnosis is a fundamental and critical task in learning assessment, which aims to infer students' proficiency on knowledge concepts from their response logs. Current works assume each knowledge concept will certainly be tested…

人工智能 · 计算机科学 2024-10-21 Miao Zhang , Ziming Wang , Runtian Xing , Kui Xiao , Zhifei Li , Yan Zhang , Chang Tang

Design is a critical to the successful development of any interactive learning environment (ILE). Moreover, in technology enhanced learning (TEL), the design process requires input from many diverse areas of expertise. As such, anyone…

软件工程 · 计算机科学 2007-05-23 Yishay Mor , Niall Winters

Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational paradigm, HD computing has shown great success in many…

信号处理 · 电气工程与系统科学 2020-04-30 Cheng-Yang Chang , Yu-Chuan Chuang , An-Yeu Wu

We present how to integrate Design Sprints and project-based learning into introductory visualization courses. A design sprint is a unique process based on rapid prototyping and user testing to define goals and validate ideas before…

人机交互 · 计算机科学 2021-10-01 Johanna Beyer , Yalong Yang , Hanspeter Pfister

One of the common ways children learn is by mimicking adults. Imitation learning focuses on learning policies with suitable performance from demonstrations generated by an expert, with an unspecified performance measure, and unobserved…

机器学习 · 计算机科学 2022-08-15 Junzhe Zhang , Daniel Kumor , Elias Bareinboim

Programming is a crucial skill in today's world and being taught worldwide at different levels. However, in the literature there is little research investigating a formal approach to embedding public engagement into programming module…

计算机与社会 · 计算机科学 2024-12-23 Jianhua Yang , Mir Seyedebrahimi , Margaret Low , Holly Heshmati

A large body of compelling evidence has been accumulated demonstrating that embodiment - the agent's physical setup, including its shape, materials, sensors and actuators - is constitutive for any form of cognition and as a consequence,…

人工智能 · 计算机科学 2021-10-20 Matej Hoffmann , Rolf Pfeifer

Tacit knowledge embedded in expert practice remains difficult to capture, formalise, and scale. While AI-driven educational systems have advanced personalisation, learner modelling, affective support, and self-regulated learning, they less…

人机交互 · 计算机科学 2026-05-12 Annie Yuan , Xiaohua Chen , Kalina Yacef , Judy Kay