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For living beings, survival depends on effective regulation of internal physiological states through motivated behaviors. In this perspective we propose that Homeostatically Regulated Reinforcement Learning (HRRL) as a framework to describe…

Neurons and Cognition · Quantitative Biology 2025-07-08 Naoto Yoshida , Henning Sprekeler , Boris Gutkin

Teacher education requires deliberate practice with learners who exhibit identifiable strengths, weaknesses, and partial mastery. Large language models could support such practice by simulating students with known skill components, enabling…

Computation and Language · Computer Science 2026-05-26 Alexander Apartsin , Omri Sason , Yehudit Aperstein

Reinforcement learning is one of the core components in designing an artificial intelligent system emphasizing real-time response. Reinforcement learning influences the system to take actions within an arbitrary environment either having…

Artificial Intelligence · Computer Science 2020-02-03 Amit Kumar Mondal

This paper presents the course design titled "Learning Management" of which the goal is to "learn collaborative learning" for a first-year undergraduate student. The objective of the class design is to help transform the student's belief of…

Computers and Society · Computer Science 2013-08-08 Yoshiaki Matsuzawa , Sayaka Tohyama , Sanshiro Sakai

Predicting the performance of students early and as accurately as possible is one of the biggest challenges of educational institutions. Analyzing the performance of students early can help in finding the strengths and weakness of students…

Computers and Society · Computer Science 2021-12-03 Aaditya Bhusal

Science communication skills are considered essential learning objectives for undergraduate physics students. However, high enrollment and limited class resources present significant barriers to providing students ample opportunities to…

Physics Education · Physics 2024-09-17 Steven W. Tarr , Emily Alicea-Muñoz

Students' learning orientation, as applied towards learning problem solving, may be differentiated into learning a problem solving framework for its own sake, learning for the sake of doing well in the course, and non-goal-related…

Physics Education · Physics 2017-11-30 Charles A. Bertram , Andrew J. Mason

Recent work has demonstrated that problems-- particularly imitation learning and structured prediction-- where a learner's predictions influence the input-distribution it is tested on can be naturally addressed by an interactive approach…

Machine Learning · Computer Science 2014-06-24 Stephane Ross , J. Andrew Bagnell

This research investigate that science process skills significantly improve after doing some practicum activities. The research population are fifth semester physics education students and the research sample are fifth semester physics…

Physics Education · Physics 2022-11-09 Albertus Hariwangsa Panuluh

Framing affects how students interpret, approach, and accomplish tasks. Little is known, however, about how students frame tasks in physics labs. During the first lab of a sequence designed to teach students about modeling and critical…

Physics Education · Physics 2019-06-28 Emily M. Smith , Martin M. Stein , N. G. Holmes

Autonomous vehicles with a self-evolving ability are expected to cope with unknown scenarios in the real-world environment. Take advantage of trial and error mechanism, reinforcement learning is able to self evolve by learning the optimal…

Robotics · Computer Science 2024-08-23 Shuo Yang , Liwen Wang , Yanjun Huang , Hong Chen

Online learning is convenient for many learners; it gives them the possibility of learning without being restricted by attending a particular classroom at a specific time. While this exciting opportunity can let its users manage their life…

Computers and Society · Computer Science 2020-06-01 Zahra Derakhshandeh , Babak Esmaeili

For many space applications, traditional control methods are often used during operation. However, as the number of space assets continues to grow, autonomous operation can enable rapid development of control methods for different space…

Machine Learning · Computer Science 2024-05-22 Nathaniel Hamilton , Kyle Dunlap , Kerianne L. Hobbs

The scope of this paper was to find out how the students in Computer Science perceive different teaching styles and how the teaching style impacts the learning desire and interest in the course. To find out, we designed and implemented an…

Human-Computer Interaction · Computer Science 2023-07-11 Manuela Petrescu , Kuderna Bentasup

Comparing with lecturer marked assessments, peer assessment is a more comprehensive learning process and many of the associated problems have occurred. In this research work, we study the peer-assessment impact on group learning activities…

Computers and Society · Computer Science 2022-01-10 Zhiyuan Chen , Soon Boon Lee , Shazia Paras Shaikh , Mirza Rayana Sanzana

Rubrics and oral feedback are approaches to help students improve performance and meet learning outcomes. However, their effect on the actual improvement achieved is inconclusive. This paper evaluates the effect of rubrics and oral feedback…

Software Engineering · Computer Science 2023-07-25 Sebastian Barney , Mahvish Khurum , Kai Petersen , Michael Unterkalmsteiner , Ronald Jabangwe

This study examines the impact of a remote laboratory experiment on Physics learning, using a case study approach. Societal advancements over the past century have spurred discussions regarding restructuring the current educational system,…

Physics Education · Physics 2025-01-17 Carlos Antonio da Rocha , Matheus Santos Nogueira

Quantum mechanics is a challenging subject, even for advanced undergraduate and graduate students. Here, we discuss the development and evaluation of research-based concept tests for peer instruction as a formative assessment tool in…

Physics Education · Physics 2016-02-18 Chandralekha Singh , Guangtian Zhu

Success in racing requires a unique combination of vehicle setup, understanding of the racetrack, and human expertise. Since building and testing many different vehicle configurations in the real world is prohibitively expensive,…

Robotics · Computer Science 2024-12-06 John Subosits , Jenna Lee , Shawn Manuel , Paul Tylkin , Avinash Balachandran

The introductory programming course (CS1) at the university level is often perceived as particularly challenging, contributing to high dropout rates among Computer Science students. Identifying when and how students encounter difficulties…

Computers and Society · Computer Science 2026-04-28 Denis Zhidkikh , Ville Isomöttönen , Toni Taipalus