Affiliations: Department of Computer Science and Information Engineering, National Formosa University, Yunlin, Taiwan
Correspondence:
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Corresponding author: Ming-Shen Jian, Department of Computer Science and Information Engineering, National Formosa University, Huwei Township, Yunlin, Taiwan. E-mail:[email protected]
Abstract: In this research, an Individual Learner Big Data Based
Cloud Role Player Game Learning Corresponding to Individual Learner Big Data
is proposed. Based on the proposed platform, all the learning states and
information (Big Data) of individual learner can be further analyzed. By
using dynamic assigning algorithm, individual learner (student) can be
separated into different levels related to the learning ability. According
to dynamic assigning algorithm, student's answering times and answering
correct rate of each education scenario in the proposed cloud based digital
game learning system is considered. Then, suitable teaching scenario will be
provided for individual user corresponding to personal learning ability.
Each designed modular teaching scenario can be embedded into the game
platform on the virtual machine in cloud. The information about students in
the game learning system can be stored in the cloud database. In addition,
the whole learning system is established as a virtual machine. System
maintainer can configure the learning system easily and quickly. Based on
cloud, different remote devices can connect to server for learning.
Keywords: Cloud computing, virtualization, RPG, game-learning, virtual machine, dynamic assigning, digital game
