The resourceful mobile devices with augmented capabilities around human pave the way for utilizing it as delegators for resource-constrained devices to run compute-intensive applications. Such collaborative resource sharing policy among mobile devices throws challenges like identifying competent alternatives for offloading and diminishing time consumption of pre-offload process to accomplish remarkable offloading. This paper presents a Mobile Cloud Computing framework with Predictive Context-Aware Collaborative Offloading Process (PCA-COP) that fixes these challenges through conductive alternative discovery. This context-aware discovery adapts a multi-criteria decision making model of Analytic Hierarchy Process (AHP) accompanied with Fuzzy categorization to rank the alternatives and classify them into Highly, Fairly, Less offload-suitable devices. Moreover, to make alternative selection optimal, a Dataset Curtailment enabled Artificial Neural Network (DCANN) prediction is incorporated on AHP-Fuzzy model, which truncates training dataset using Conditioned Stratified Sampling (CSS). The prototype framework is evaluated with mobile applications in the classroom under dynamic context environments.

New generation learners expect an innovative way of acquiring knowledge during their education. This has led to the discovery of brand-new pedagogical teaching policies like blended learning, which in turn demand the use of latest technology inevitably to accomplish it. A composition of cloud technology and blended learning contributes a noteworthy learning content delivered to the new gen learners and teachers. This chapter confronts contemporary cloud solutions for diverse learning activities to be implemented in K-20 classrooms and on educational campuses. It discusses the existing cloud frameworks such as mobile edge computing, fog computing, cloudlets, and hybrid frameworks, as well as outlines their suitability for different blended learning tasks. The suitable cloud technologies for augmented and virtual reality applications have also been given for various courses.

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