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Intelligent systems have the ability to improve their behaviour over time taking observations, experiences or explicit feedback into account. Traditional approaches separate the learning problem and make isolated use of techniques from…

Machine Learning · Computer Science 2022-01-12 Simon Reichhuber , Sven Tomforde

Autonomous self-improving robots that interact and improve with experience are key to the real-world deployment of robotic systems. In this paper, we propose an online learning method, SELFI, that leverages online robot experience to…

Robotics · Computer Science 2024-10-08 Noriaki Hirose , Dhruv Shah , Kyle Stachowicz , Ajay Sridhar , Sergey Levine

In order to track and comprehend the academic achievement of students, both private and public educational institutions devote a significant amount of resources and labour. One of the difficult issues that institutes deal with on a regular…

Computers and Society · Computer Science 2022-11-14 Bibhuprasad Mahakud , Bibhuti Parida , Ipsit Panda , Souvik Maity , Arpita Sahoo , Reeta Sharma

The primary objective is to emphasize the merits of active methodologies and cross-disciplinary curricula in Requirement Engineering. This direction promises a holistic and applied trajectory for Computer Engineering education, supported by…

People often strive for deep engagement in activities which is usually associated with feelings of flow: a state of full task absorption accompanied by a sense of control and fulfillment. The intrinsic factors driving such engagement and…

Neurons and Cognition · Quantitative Biology 2024-09-11 Hairong Lu , Dimitri van der Linden , Arnold B. Bakker

This is a report on a qualitative study of students' learning where a physics computer simulation session is used to supplement lectures on the topic. Drawing on phenomenography as the analytical framework, the students' learning-focuses…

Physics Education · Physics 2007-05-23 Ake Ingerman , Cedric Linder , Delia Marshall

Studying for physics exams can be difficult and stressful, especially during a student's introductory year in physics. For students who do not plan to major in physics, the desire to do well is based less on understanding concepts and more…

Physics Education · Physics 2020-12-22 Rahul Jilakara , David P. Waters

In safety-critical applications, autonomous agents may need to learn in an environment where mistakes can be very costly. In such settings, the agent needs to behave safely not only after but also while learning. To achieve this, existing…

Machine Learning · Computer Science 2021-01-22 Matteo Turchetta , Andrey Kolobov , Shital Shah , Andreas Krause , Alekh Agarwal

We studied the impact of metacognitive reflections on recently completed work as a way to improve the retention of newly-learned problem-solving techniques. Students video-recorded themselves talking through problems immediately after…

Physics Education · Physics 2022-09-05 Aaron Reinhard , Alex Felleson , Paula Turner , Maxwell Green

Students sometimes produce code that works but that its author does not comprehend. For example, a student may apply a poorly-understood code template, stumble upon a working solution through trial and error, or plagiarize. Similarly,…

Computers and Society · Computer Science 2021-07-06 Teemu Lehtinen , André L. Santos , Juha Sorva

We discuss a case study of the influence of epistemology on learning for a student in an introductory college physics course. An analysis of videotaped class work, written work, and interviews indicates that many of the student's…

Physics Education · Physics 2009-11-10 Laura Lising , Andrew Elby

We have designed a machine that becomes increasingly better at behaving in underspecified circumstances, in a goal-directed way, on the job, by modeling itself and its environment as experience accumulates. Based on principles of…

We discuss the development, implementation, and assessment of a course for science undergraduates designed to help them develop an awareness and a deeper appreciation of the intellectual demands of physics teaching. The course focused on…

Physics Education · Physics 2016-03-10 Chandralekha Singh , Laura Moin , Christian Schunn

Humans have internal models of robots (like their physical capabilities), the world (like what will happen next), and their tasks (like a preferred goal). However, human internal models are not always perfect: for example, it is easy to…

Robotics · Computer Science 2023-01-04 Ran Tian , Masayoshi Tomizuka , Anca Dragan , Andrea Bajcsy

Although compelling assessments have been examined in recent years, more studies are required to yield a better understanding of the several methods where assessment techniques significantly affect student learning process. Most of the…

Physics Education · Physics 2017-12-15 Khondkar Islam , Pouyan Ahmadi , Salman Yousaf

Autonomous racing with scaled race cars has gained increasing attention as an effective approach for developing perception, planning and control algorithms for safe autonomous driving at the limits of the vehicle's handling. To train agile…

Robotics · Computer Science 2023-05-30 Xiatao Sun , Mingyan Zhou , Zhijun Zhuang , Shuo Yang , Johannes Betz , Rahul Mangharam

Enhancing motivation and learning attitudes in an introductory physics course is an important but difficult task that can be achieved through class blogging. We incorporated into an introductory course a blog operated by upper-level physics…

In language learning in the limit we investigate computable devices (learners) learning formal languages. Through the years, many natural restrictions have been imposed on the studied learners. As such, monotonic restrictions always enjoyed…

Machine Learning · Computer Science 2020-10-20 Vanja Doskoč , Timo Kötzing

In many upper-division lab courses, instructors implement multiweek student-led projects. During such projects, students may design and carry out experiments, collect and analyze data, document and report their findings, and collaborate…

Physics Education · Physics 2022-06-29 Dimitri R. Dounas-Frazer , Laura Ríos , H. J. Lewandowski

Background: Abilities for effective self-regulated learning (SRL) are critical for lifelong learning, particularly during adolescence when these skills consolidate and strongly influence future learning. Their importance has grown with the…

Human-Computer Interaction · Computer Science 2026-05-15 Gloria Fernández-Nieto , Kiyoshige Garcés , Mladen Raković , Tongguang Li , Xinyu Li , Linxuan Zhao , Dragan Gašević
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