scholarly journals Underground Test Area Subproject Phase I Data Analysis Task. Volume II - Potentiometric Data Document Package

1996 ◽  
Author(s):  
Keyword(s):  
Data Analysis ◽  
Phase I ◽  
Test Area ◽  
Analysis Task ◽  
Potentiometric Data

ESC Phase I: Locating and Mapping Drilling Mud Pits at the Central Nevada Test Area

1998 ◽  
Author(s):  
Ronald D. Kaufmann ◽  
Lynn B. Yuhr ◽  
J. David Wonder
Keyword(s):  
Phase I ◽  
Test Area ◽  
Drilling Mud

Shewhart-type control charts for variation in phase I data analysis

2010 ◽  
Vol 54 (4) ◽  
pp. 863-874 ◽  
Author(s):  
S.W. Human ◽  
S. Chakraborti ◽  
C.F. Smit
Keyword(s):  
Data Analysis ◽  
Phase I ◽  
Control Charts

Specification of the Autonomic Cycles of Learning Analytic Tasks for a Smart Classroom

2017 ◽  
Vol 56 (6) ◽  
pp. 866-891 ◽  
Author(s):  
Jose Aguilar ◽  
Jorge Cordero ◽  
Omar Buendía
Keyword(s):  
Data Analysis ◽  
Knowledge Discovery ◽  
Learning Environments ◽  
Learning Process ◽  
Virtual Learning Environments ◽  
Smart Board ◽  
Smart Classroom ◽  
Analysis Task ◽  
Learning Analysis ◽  
Different Sources

In this article, we propose the concept of “Autonomic Cycle Of Learning Analysis Tasks” (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic cycle, each learning analysis task interacts with each other and has different roles: Some of them must observe the learning process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the learning process. In this article, we study the application of the autonomic cycle in a smart classroom, which is composed of a set of intelligent components of hardware (e.g., smart board) and software (e.g., virtual learning environments), which must exploit the knowledge generated by the ACOLAT to improve the learning process in the smart classroom. Moreover, we present the set of ACOLATs present in a smart classroom and the implementation of some of them.

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