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This paper uses log data of teaching and learning activities in a web-based learning platform, selects two universities implementing different online learning promotion strategies as the cases, and conducts the group differences analysis based on the hypothesized structural equation modeling (SEM) to analyze group interactive activities in two universities' online learning environment. The results...
Learning analytics can give powers to teachers and learners to optimize their teaching and learning. This paper presents the design and implementation of learning analytics system for teachers and students based on a special LMS -- THEOL LMS, which is commonly used in blended learning in universities and colleges. The technical architecture of learning analytics system for teachers and students is...
According to the limitation in the research of reliability, this paper, starting from the generality of complex systems, firstly converts the system components into the linear combination by training the binary neural network, secondly we solve the distribution function of the linear combination. With this method, this paper finally gets a general method to analyse the reliability of arbitrary systems...
A new matching metric-Cauchy-Schwarz divergence of corners (Corner Cauchy-Schwarz Divergence, CCSD) is defined, and a new approach for image registration based on CCSD and sub-pixel localization is proposed. Firstly corners in an image are detected by multi-scale Harris operator, which are taken as initial interest points. And then sub-pixel localization technique is applied to determine the location...
Based on linear correlation detection, in this paper a novel digital image forensic scheme is proposed, wherein whether an image is tampered or not may be determined using blue operation. In order to detect blur, which can reveal the trace of tampering, we analyze the linear correlation of image pixels with shortest distance clustering approach. Experimental results show that the proposed method could...
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