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With the introduction of educational robotics (ER) and computational thinking (CT) in classrooms, there is a rising need for operational models that help ensure that CT skills are adequately developed. One such model is the Creative…

Computers and Society · Computer Science 2021-07-20 Morgane Chevalier , Laila El-Hamamsy , Christian Giang , Barbara Bruno , Francesco Mondada

Software architecture education remains challenging for instructors, students, and software industry professionals. Several initiatives have been proposed to mitigate the inherent challenges, including games, supporting tools, collaborative…

Computers and Society · Computer Science 2022-10-11 Brauner R. N. Oliveira , Elisa Y. Nakagawa

Large language models (LLMs) and prompt engineering hold significant potential for advancing computer programming education through personalized instruction. This paper explores this potential by investigating three critical research…

Artificial Intelligence · Computer Science 2024-07-09 Tianyu Wang , Nianjun Zhou , Zhixiong Chen

Development of Curriculum and delivery materials has undergone changes over a period of time, in undergraduate engineering degree system in Indian universities. However, there exists a gap between industry expectations in IT field and…

Computers and Society · Computer Science 2016-09-08 H. A. Padmini , A. Keshav Bharadwaj , T. R. Gopalakrishnan Nair

This document reports (in French) some achievements performed in the frame of computational fluid dynamics applied to aerospace applications. Different physical issues have been tacled out during several studies focusing on turbulent jets,…

Fluid Dynamics · Physics 2023-10-25 Philippe Reynier

Teaching Robotics is about empowering students to create and configure robotics devices and program computers to nurture in students the skill sets necessary to play an active role in society. The robot in Figure 1 focuses on the design of…

Physics Education · Physics 2015-02-05 Dennis Toh , Ravintharan , Matthew Lim , Loo Kang Wee , Matthew Ong

Real-life control tasks involve matters of various substances---rigid or soft bodies, liquid, gas---each with distinct physical behaviors. This poses challenges to traditional rigid-body physics engines. Particle-based simulators have been…

Machine Learning · Computer Science 2019-04-19 Yunzhu Li , Jiajun Wu , Russ Tedrake , Joshua B. Tenenbaum , Antonio Torralba

Although robotics courses are well established in higher education, the courses often focus on theory and sometimes lack the systematic coverage of the techniques involved in developing, deploying, and applying software to real hardware.…

Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. However, most existing approaches are trained in well-tuned simulators and…

Robotics · Computer Science 2024-11-07 Puze Liu , Haitham Bou-Ammar , Jan Peters , Davide Tateo

Model rockets have been employed in student projects, but very few papers in aerospace education offer concise summaries of activities at university-course levels. This paper aims to address this gap in the literature. The rockets used by…

Physics Education · Physics 2017-08-08 Thomas A. Campbell , Masataka Okutsu

This paper presents different possibilities of using mobile robots in education. Through the application of mobile mechatronic robotic system "Robotino" this paper shows the possibilities of developing interactive lectures and exercises in…

Robotics · Computer Science 2017-10-10 Boris Crnokic , Miroslav Grubisic , Tomislav Volaric

Model-based reinforcement learning is an effective approach for controlling an unknown system. It is based on a longstanding pipeline familiar to the control community in which one performs experiments on the environment to collect a…

Systems and Control · Electrical Eng. & Systems 2024-08-14 Bruce D. Lee , Ingvar Ziemann , George J. Pappas , Nikolai Matni

The research presented in this thesis was motivated by the need to improve introductory physics courses. Introductory physics courses are generally the first courses in which students learn to create models to solve complex problems.…

Physics Education · Physics 2011-12-26 Marcos D. Caballero

Prompt engineering is critical for effective interaction with large language models (LLMs) such as ChatGPT. However, efforts to teach this skill to students have been limited. This study designed and implemented a prompt engineering…

Computers and Society · Computer Science 2025-12-11 David James Woo , Deliang Wang , Tim Yung , Kai Guo

An interactive robot framework accomplishes long-horizon task planning and can easily generalize to new goals and distinct tasks, even during execution. However, most traditional methods require predefined module design, making it hard to…

Robotics · Computer Science 2025-02-11 Boyi Li , Philipp Wu , Pieter Abbeel , Jitendra Malik

Advances in large language models (LLMs) enable many new innovations in education. However, evaluating the effectiveness of new technology requires real students, which is time-consuming and hard to scale up. Therefore, many recent works on…

Computation and Language · Computer Science 2026-05-06 Alexander Scarlatos , Jaewook Lee , Simon Woodhead , Andrew Lan

With the advent of research-grade robotic telescopes (and professional archives) coupled with the wide availability of the Internet in schools, getting high-quality data in the classroom has become much easier than ever before. Robotic…

Physics Education · Physics 2018-04-25 L. M. Rebull

This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT…

Computers and Society · Computer Science 2023-11-03 Thanh Nguyen Ngoc , Quang Nhat Tran , Arthur Tang , Bao Nguyen , Thuy Nguyen , Thanh Pham

Sustainability is becoming increasingly critical in the maritime transport, encompassing both environmental and social impacts, such as Greenhouse Gas (GHG) emissions and navigational safety. Traditional vessel navigation heavily relies on…

Machine Learning · Computer Science 2026-01-19 Zhang Xiaocai , Xiao Zhe , Liang Maohan , Liu Tao , Li Haijiang , Zhang Wenbin

Existing procedures for model validation have been deemed inadequate for many engineering systems. The reason of this inadequacy is due to the high degree of complexity of the mechanisms that govern these systems. It is proposed in this…

Artificial Intelligence · Computer Science 2007-05-23 A. Guergachi
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