Personalized Subject Learning Based on Topic Detection and Canonical Correlation Analysis

Abstract

To keep pace with the time, learning from printed medium alone is no longer a comprehensive approach. Fresh digital contents can definitely be the complement of printed education medium. Although timely access to fresh contents is becoming increasingly important for education and gaining such access is no longer a problem, the capacity for human teachers to assimilate such huge amounts of contents is limited. Topic Detection (TD) is then a promising research area that addresses speedy access of desired contents based on topic or subject. On the other hand, personalized education is getting more attention because it facilitates the improvement of creativity and subject learning of the students. This paper reveals a patented Personalized Subject Learning (PSL) system that caters for the need of personalized education and efficiently provides subject based contents. An efficient topic detection algorithm for providing subject content is presented. Moreover, since education contents are multimedia based ones with multimodal, PSL introduces Canonical Correlation Analysis (CCA) method to detect multimodal correlations across different types of media. Due to its novelty, PSL has been used as the key engine in a real world application of personalized education system as the smart education module sponsored by a Smart City project.

Authors and Affiliations

Zhangzu SHI, Steve SHI, Lucy SHI

Keywords

Related Articles

Fast–ICA for Mechanical Fault Detection and Identification in Electromechanical Systems for Wind Turbine Applications

Recently, the approaches based on source separation are increasingly adopted for the fault diagnosis in several industrial applications. In particular, Independent Component Analysis (ICA) method is attractive, thanks to...

Developing an Assessment Tool of ITIL Implementation in Small Scale Environments

Considering the problematic of IT Service Management (ITSM) frameworks Implementation in SMEs, among the various frameworks available for companies to manage their IT services, ITIL is recognized as the most structured a...

A New Approach for Improvement Security against DoS Attacks in Vehicular Ad-hoc Network

Vehicular Ad-Hoc Networks (VANET) are a proper subset of mobile wireless networks, where nodes are revulsive, the vehicles are armed with special electronic devices on the motherboard OBU (On Board Unit) which enables th...

A New Comment on Reinforcement of Testing Criteria

This paper presents the formal aspects of testing criteria for Safety Critical Systems. A brief review of testing strategies i.e. white box and black box is given along with their various criteria’s. Z Notation; a formal...

Secure High Dynamic Range Images

In this paper, a tone mapping algorithm is proposed to produce LDR (Limited Dynamic Range) images from HDR (High Dynamic Range) images. In the approach, non-linear functions are applied to compress the dynamic range of H...

Download PDF file
  • EP ID EP143460
  • DOI 10.14569/IJACSA.2015.061017
  • Views 90
  • Downloads 0

How To Cite

Zhangzu SHI, Steve SHI, Lucy SHI (2015). Personalized Subject Learning Based on Topic Detection and Canonical Correlation Analysis. International Journal of Advanced Computer Science & Applications, 6(10), 120-126. https://europub.co.uk/articles/-A-143460