Results 61 to 70 of about 1,163,868 (343)

Bad Teachers, Bad Teaching, Bad Examples - Bad to the Bone [PDF]

, 2014
https://digitalcommons.winthrop.edu/weeklyreader/1040/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

Carbon Fiber Oxidation in 4D

Advanced Materials, EarlyView.
The oxidation of porous carbon fiber heat shield material at high temperatures is imaged using time‐resolved synchrotron X‐ray microtomography. Resolving the interplay between species diffusion and carbon‐oxygen reaction rate reveals spatially and temporally varying degradation across oxidation regimes, with profound implications for in‐depth material ...
Benjamin M. Ringel, Federico Semeraro, Joseph C. Ferguson, Harold S. Barnard, Bruno Dias, Christian M. Schlepütz, Edward S. Barnard, Sam Schickler, Kara Levy, Shawn Shacterman, Talia Benioff‐White, Julian Davis, Alastair A. MacDowell, Dilworth Y. Parkinson, Francesco Panerai   +14 more
wiley   +1 more source

Attending lectures in person, hybrid or online at a technical university: how do students choose after the pandemic, and what about the outcome?

Discover Education
In the aftermath of the COVID-19 pandemic, students have more choice of how to attend courses than ever before; for a large number of courses at a technical university, they are still able to watch the lectures live online or in recorded format later. We
Gerd Kortemeyer, Nora Dittmann-Domenichini, Claudia Merki   +2 more
doaj   +1 more source

Hang Up the Cell Phone and Learn! : Students, Teachers, and Technology [PDF]

, 2012
https://digitalcommons.winthrop.edu/weeklyreader/1010/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

Additive Manufacturing of Neuromorphic Systems

Advanced Materials, EarlyView.
The crossover of additive Manufacturing (AM) and neuromorphic engineering promises a new paradigm in the fabrication of intelligent hardware—one that is sustainable, scalable, cost‐efficient, and customizable. The AM‐printed neuromorphic hardware (electronics and mechanical systems) is examined, and we discussed the technological integration.
Jiongyi Yan, Yutai Su, James P. K. Armstrong, Andrew Gleadall   +3 more
wiley   +1 more source

Event-Object-Meaning: A Key to the Art of Teaching Literature - and Maybe Everything Else [PDF]

, 2014
https://digitalcommons.winthrop.edu/weeklyreader/1060/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Understanding the Role of Working Memory and Phonological Memory in Mathematics and Response to Intervention for Emergent Bilingual Kindergartners

Journal of Numerical Cognition
This study explores how kindergarten students from a multilingual sample (n = 131) representing 23 different languages differ in response to intervention, based on their skill in mathematics and domain general cognitive skills.
Madison A. Cook, Keith Smolkowski, Lina Shanley, Joanna Hermida, Sylvia Linan-Thompson, Christian T. Doabler, Ben Clarke   +6 more
doaj   +1 more source

Academic Responsibility---Final Exams [PDF]

, 2012
https://digitalcommons.winthrop.edu/weeklyreader/1001/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

Machine Learning‐Enhanced Modular Ionic Skin for Broad‐Spectrum Multimodal Discriminability in Bidirectional Human–Robot Interaction

Advanced Materials, EarlyView.
A machine learning‐enhanced modular ionic skin with broad‐spectrum multimodal sensing is realized through a synergistic material–algorithm optimization strategy. This strategy involves hard‐segment‐modulated 1D/2D/3D‐ionic conductors and a data‐driven decoupling model trained on a curated multi‐stimuli dataset.
Qianqian Yang, Bingqiao Li, Mengke Wang, Gaoyang Pang, Yuyao Lu, Jiayan Li, Huayong Yang, Honghao Lyu, Kaichen Xu, Geng Yang   +9 more
wiley   +1 more source