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Authors = Ken Caldeira

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36 pages, 3102 KiB  
Article
Adaptive, Synchronous, and Mobile Online Education: Developing the ASYMPTOTE Learning Environment
by Simon Barlovits, Amélia Caldeira, Georgios Fesakis, Simone Jablonski, Despoina Koutsomanoli Filippaki, Claudia Lázaro, Matthias Ludwig, Maria Flavia Mammana, Ana Moura, Deng-Xin Ken Oehler, Tomás Recio, Eugenia Taranto and Stamatia Volika
Mathematics 2022, 10(10), 1628; https://doi.org/10.3390/math10101628 - 10 May 2022
Cited by 10 | Viewed by 5398
Abstract
The COVID-19-induced distance education was perceived as highly challenging by teachers and students. A cross-national comparison of five European countries identified several challenges occurred during the distance learning period. On this basis, the article aims to develop a theoretical framework and design requirements [...] Read more.
The COVID-19-induced distance education was perceived as highly challenging by teachers and students. A cross-national comparison of five European countries identified several challenges occurred during the distance learning period. On this basis, the article aims to develop a theoretical framework and design requirements for distance and online learning tools. As one example for online learning in mathematics education, the ASYMPTOTE system is introduced. It will be freely available by May 2022. ASYMPTOTE is aimed at the adaptive and synchronous delivery of online education by taking a mobile learning approach. Its core is the so-called digital classroom, which not only allows students to interact with each other or with the teacher but also enables teachers to monitor their students’ work progress in real time. With respect to the theoretical framework, this article analyses to what extent the ASYMPTOTE system meets the requirements of online learning. Overall, the digital classroom can be seen as a promising tool for teachers to carry out appropriate formative assessment and—partly—to maintain personal and content-related interaction at a distance. Moreover, we highlight the availability of this tool. Due to its mobile learning approach, almost all students will be able to participate in lessons conducted with ASYMPTOTE. Full article
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13 pages, 818 KiB  
Article
Global Assessment of High-Altitude Wind Power
by Cristina L. Archer and Ken Caldeira
Energies 2009, 2(2), 307-319; https://doi.org/10.3390/en20200307 - 26 May 2009
Cited by 191 | Viewed by 54856
Abstract
The available wind power resource worldwide at altitudes between 500 and 12,000 m above ground is assessed for the first time. Twenty-eight years of wind data from the reanalyses by the National Centers for Environmental Prediction and the Department of Energy are analyzed [...] Read more.
The available wind power resource worldwide at altitudes between 500 and 12,000 m above ground is assessed for the first time. Twenty-eight years of wind data from the reanalyses by the National Centers for Environmental Prediction and the Department of Energy are analyzed and interpolated to study geographical distributions and persistency of winds at all altitudes. Furthermore, intermittency issues and global climate effects of large-scale extraction of energy from high-altitude winds are investigated. Full article
(This article belongs to the Special Issue Wind Energy)
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