DVFS-Based Quality Maximization for Adaptive Applications with Diminishing Return

2020 ◽  
pp. 1-1
Author(s):  
Heng Yu ◽  
Yajun Ha ◽  
Bharadwaj Veeravalli ◽  
Fupeng Chen ◽  
Hesham El-Sayed
2006 ◽  
Vol 11 (5) ◽  
pp. 1227-1232
Author(s):  
Zhou Yu ◽  
Ma Xiaoxing ◽  
Tao Xianping ◽  
Lu Jian

2008 ◽  
pp. 678-698
Author(s):  
Jacopo Armani ◽  
Luca Botturi

This chapter presents MAID, a complete design method for adaptive courseware tailored for non-technical people. Adaptive hypermedia systems represent a great potential for e-learning. Nevertheless, instructors and designers find it difficult to develop adaptive applications in real educational environments, mainly because no structured design method is available. The main principle upon which the method relies is that the basis for the exploitation of adaptive features in education is the definition and implementation of an instructional strategy. The MAID approach provides guidelines and tools that foster and enhance the communication between the technical staff in charge of managing the hypermedia system and the instructor by adopting her/his instructional strategy as the pivotal point for the communication.


Author(s):  
Jacopo Armani ◽  
Luca Botturi

This chapter presents MAID, a complete design method for adaptive courseware tailored for non-technical people. Adaptive hypermedia systems represent a great potential for e-learning. Nevertheless, instructors and designers find it difficult to develop adaptive applications in real educational environments, mainly because no structured design method is available. The main principle upon which the method relies is that the basis for the exploitation of adaptive features in education is the definition and implementation of an instructional strategy. The MAID approach provides guidelines and tools that foster and enhance the communication between the technical staff in charge of managing the hypermedia system and the instructor by adopting her/his instructional strategy as the pivotal point for the communication.


2019 ◽  
Vol 27 (2) ◽  
pp. 805-818
Author(s):  
Kai Gao ◽  
Qiao Xiang ◽  
Xin Wang ◽  
Yang Richard Yang ◽  
Jun Bi

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