Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Stefano Fiorini"'
Autor:
Sarah D. Castle, W. Carson Byrd, Benjamin P. Koester, Meaghan I. Pearson, Emily Bonem, Natalia Caporale, Sonja Cwik, Kameryn Denaro, Stefano Fiorini, Yangqiuting Li, Chris Mead, Heather Rypkema, Ryan D. Sweeder, Montserrat B. Valdivia Medinaceli, Kyle M. Whitcomb, Sara E. Brownell, Chantal Levesque-Bristol, Marco Molinaro, Chandralekha Singh, Timothy A. McKay, Rebecca L. Matz
Publikováno v:
International Journal of STEM Education, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Background Large introductory lecture courses are frequently post-secondary students’ first formal interaction with science, technology, engineering, and mathematics (STEM) disciplines. Grade outcomes in these courses are often disparate a
Externí odkaz:
https://doaj.org/article/471a8daaafc84fe983cebd413bf6af14
Autor:
Stefano Fiorini, Nita Tarchinski, Meaghan Pearson, Montserrat Valdivia Medinaceli, Rebecca L. Matz, Juniar Lucien, Hye Rin Lee, Benjamin Koester, Kameryn Denaro, Natalia Caporale, W. Carson Byrd
Publikováno v:
Frontiers in Education, Vol 8 (2023)
Institutions of higher learning are characterized by multiple, often intersecting, social-educational structures aimed at regulating the conditions by which a degree is ultimately granted. The sequence of courses that students must take for a degree
Externí odkaz:
https://doaj.org/article/a953736837d54a5697ecf8f601ee8d60
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-19 (2022)
Abstract Recent years have witnessed the emerging of novel shared mobility solutions that provide diffused on-demand access to transportation. The widespread adoption of these solutions, particularly electric mopeds (e-mopeds), is expected to bring i
Externí odkaz:
https://doaj.org/article/15a601a42c20460981339ea5db6cabc9
Publikováno v:
Algorithms, Vol 15, Iss 10, p 376 (2022)
In recent years, studying and predicting mobility patterns in urban environments has become increasingly important as accurate and timely information on current and future vehicle flows can successfully increase the quality and availability of transp
Externí odkaz:
https://doaj.org/article/bfecfeb6f8b94228860ab2806719efa5
Autor:
Molly Ann Burke Leon, Anthony Guest Scott, Andrew M. Koke, Stefano Fiorini, Alexander Rangazas
Publikováno v:
Journal of the Scholarship of Teaching and Learning, Vol 19, Iss 4 (2019)
This study assesses the impact of a required course designed to retain and graduate students placed on Academic Probation. We adopted a quantitative approach to this inquiry. We found that students who took the class were approximately 20% more likel
Externí odkaz:
https://doaj.org/article/9fcb5ea9bf204ca597d73a7236c7bc77
Autor:
Rebecca L. Matz, Benjamin P. Koester, Stefano Fiorini, Galina Grom, Linda Shepard, Charles G. Stangor, Brad Weiner, Timothy A. McKay
Publikováno v:
AERA Open, Vol 3 (2017)
Significant gendered performance differences are signals of systemic inequity in higher education. Understanding of these inequities has been hampered by the local nature of prior studies; consistent measures of performance disparity across many disc
Externí odkaz:
https://doaj.org/article/d7f046d1ed7d40e6a8bba740aff26d97
Autor:
Christian Fischer, Eben Witherspoon, Ha Nguyen, Yanan Feng, Stefano Fiorini, Paulette Vincent‐Ruz, Chris Mead, William Nicholas Bork Rodriguez, Rebecca L. Matz, Christian Schunn
Publikováno v:
Journal of Research in Science Teaching. 60:304-329
Approximately two million students take Advanced Placement (AP) examinations annually. However, departmental policies that allow students to replace introductory courses with AP credit greatly vary within and across universities, even across relative
Publikováno v:
Web of Science
This paper introduces SigMaNet, a generalized Graph Convolutional Network (GCN) capable of handling both undirected and directed graphs with weights not restricted in sign nor magnitude. The cornerstone of SigMaNet is the Sign-Magnetic Laplacian ($L^
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9215c8e6af5700251d1289207241b543
https://hdl.handle.net/10446/245111
https://hdl.handle.net/10446/245111
Publikováno v:
ITSC
Characterizing urban communities is essential for understanding citizens' needs and neighborhood-wise dynamics. Discriminating factors are population mobility patterns, neighborhood structural characteristics, and distance to other areas of the city.
Publikováno v:
Metadata and Semantic Research ISBN: 9783030719029
MTSR
MTSR
Mobile applications and portable devices are being used extensively in the healthcare sector due to their rapid development. Wearable devices having sensors can be used to collect, analyze, and transmit the vital signs of the wearer. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64eaee229a98d041d5a2864310d6b48
http://hdl.handle.net/10281/320127
http://hdl.handle.net/10281/320127