An Analysis Method to Nowcast Three-Dimensional Meteorological Data for the U.S. Army IMETS

2004 ◽  
Author(s):  
Teizi Henmi ◽  
Robert Dumais
Keyword(s):  
Meteorological Data ◽  
Three Dimensional ◽  
Analysis Method ◽  
The U.S

scholarly journals Applying Learning Analytics to Detect Sequences of Actions and Common Errors in a Geometry Game

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1025
Author(s):  
Manuel J. Gomez ◽  
José A. Ruipérez-Valiente ◽  
Pedro A. Martínez ◽  
Yoon Jeon Kim
Keyword(s):  
Learning Analytics ◽  
Process Mining ◽  
Three Dimensional ◽  
Noncognitive Skills ◽  
Assessment Data ◽  
Ample Evidence ◽  
Clear Sense ◽  
Games For Learning ◽  
The U.S

Games have become one of the most popular activities across cultures and ages. There is ample evidence that supports the benefits of using games for learning and assessment. However, incorporating game activities as part of the curriculum in schools remains limited. Some of the barriers for broader adoption in classrooms is the lack of actionable assessment data, the fact that teachers often do not have a clear sense of how students are interacting with the game, and it is unclear if the gameplay is leading to productive learning. To address this gap, we seek to provide sequence and process mining metrics to teachers that are easily interpretable and actionable. More specifically, we build our work on top of Shadowspect, a three-dimensional geometry game that has been developed to measure geometry skills as well other cognitive and noncognitive skills. We use data from its implementation across schools in the U.S. to implement two sequence and process mining metrics in an interactive dashboard for teachers. The final objective is to facilitate that teachers can understand the sequence of actions and common errors of students using Shadowspect so they can better understand the process, make proper assessment, and conduct personalized interventions when appropriate.

scholarly journals High-order compact LOD methods for solving high-dimensional advection equations

2021 ◽  
Vol 40 (3) ◽  
Author(s):  
Bo Hou ◽  
Yongbin Ge
Keyword(s):  
Truncation Error ◽  
Three Dimensional ◽  
Taylor Series Expansion ◽  
High Order ◽  
High Dimensional ◽  
Analysis Method ◽  
Order Accuracy ◽  
Von Neumann ◽  
One Dimensional ◽  
Von Neumann Analysis

AbstractIn this paper, by using the local one-dimensional (LOD) method, Taylor series expansion and correction for the third derivatives in the truncation error remainder, two high-order compact LOD schemes are established for solving the two- and three- dimensional advection equations, respectively. They have the fourth-order accuracy in both time and space. By the von Neumann analysis method, it shows that the two schemes are unconditionally stable. Besides, the consistency and convergence of them are also proved. Finally, numerical experiments are given to confirm the accuracy and efficiency of the present schemes.

scholarly journals Residual Strength Analysis Method for Composite Laminates with Internal Defects Using a Quasi-Three-Dimensional Model.

1993 ◽  
Vol 59 (563) ◽  
pp. 1697-1701 ◽  
Author(s):  
Tsuyoshi Nishiwaki ◽  
Atsushi Yokoyama ◽  
Zen'ichiro Maekwa ◽  
Hiroyuki Hamada ◽  
Yoshinori Maekawa ◽  
...  
Keyword(s):  
Residual Strength ◽  
Composite Laminates ◽  
Three Dimensional ◽  
Strength Analysis ◽  
Analysis Method ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Internal Defects
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