Zobrazeno 1 - 10
of 13 536
pro vyhledávání: '"DENNY, P."'
Autor:
Kang, Mingu, Kim, Sunje, Qian, Yuting, Neves, Paul M., Ye, Linda, Jung, Junseo, Puntel, Denny, Mazzola, Federico, Fang, Shiang, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Fuji, Jun, Vobornik, Ivana, Park, Jae-Hoon, Checkelsky, Joseph G., Yang, Bohm-Jung, Comin, Riccardo
Publikováno v:
Nat. Phys. (2024)
Understanding the geometric properties of quantum states and their implications in fundamental physical phenomena is at the core of modern physics. The Quantum Geometric Tensor (QGT) is a central physical object in this regard, encoding complete info
Externí odkaz:
http://arxiv.org/abs/2412.17809
Autor:
Prather, James, Reeves, Brent N., Denny, Paul, Leinonen, Juho, MacNeil, Stephen, Luxton-Reilly, Andrew, Orvalho, João, Alipour, Amin, Alfageeh, Ali, Amarouche, Thezyrie, Kimmel, Bailey, Wright, Jared, Blake, Musa, Barbre, Gweneth
Non-native English speakers (NNES) face multiple barriers to learning programming. These barriers can be obvious, such as the fact that programming language syntax and instruction are often in English, or more subtle, such as being afraid to ask for
Externí odkaz:
http://arxiv.org/abs/2412.12800
Generative Artificial Intelligence (GenAI) offers numerous opportunities to revolutionise teaching and learning in Computing Education (CE). However, educators have expressed concerns that students may over-rely on GenAI and use these tools to genera
Externí odkaz:
http://arxiv.org/abs/2412.11419
Autor:
Gutierrez, Sebastian, Hou, Irene, Lee, Jihye, Angelikas, Kenneth, Man, Owen, Mettille, Sophia, Prather, James, Denny, Paul, MacNeil, Stephen
Recent advancements in generative AI systems have raised concerns about academic integrity among educators. Beyond excelling at solving programming problems and text-based multiple-choice questions, recent research has also found that large multimoda
Externí odkaz:
http://arxiv.org/abs/2412.11088
The integration of large language models (LLMs) into computing education offers many potential benefits to student learning, and several novel pedagogical approaches have been reported in the literature. However LLMs also present challenges, one of t
Externí odkaz:
http://arxiv.org/abs/2412.09048
Autor:
Wu, Haihang, Wang, Wei, Malepathirana, Tamasha, Seneviratne, Sachith, Oetomo, Denny, Halgamuge, Saman
Pruning can be an effective method of compressing large pre-trained models for inference speed acceleration. Previous pruning approaches rely on access to the original training dataset for both pruning and subsequent fine-tuning. However, access to t
Externí odkaz:
http://arxiv.org/abs/2412.07114
Shared control systems aim to combine human and robot abilities to improve task performance. However, achieving optimal performance requires that the robot's level of assistance adjusts the operator's cognitive workload in response to the task diffic
Externí odkaz:
http://arxiv.org/abs/2412.05412
Autor:
Gosetti, Valentina, Cervantes-Villanueva, Jorge, Mor, Selene, Sangalli, Davide, García-Cristóbal, Alberto, Molina-Sánchez, Alejandro, Agekyan, Vadim F., Tuniz, Manuel, Puntel, Denny, Bronsch, Wibke, Cilento, Federico, Pagliara, Stefania
Resolving the early-stage dynamics of exciton formation following non-resonant photoexcitation in time, energy, and momentum is quite challenging due to their inherently fast timescales and the proximity of the excitonic state to the bottom of the co
Externí odkaz:
http://arxiv.org/abs/2412.02507
Motivation: Students learning to program often reach states where they are stuck and can make no forward progress. An automatically generated next-step hint can help them make forward progress and support their learning. It is important to know what
Externí odkaz:
http://arxiv.org/abs/2411.18151
Debugging is an essential skill when learning to program, yet its instruction and emphasis often vary widely across introductory courses. In the era of code-generating large language models (LLMs), the ability for students to reason about code and id
Externí odkaz:
http://arxiv.org/abs/2411.14303