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Intelligent Adaptive Feedback Assessment System in Learning Environment

by G. Suvarna Kumar, P. V. G. D. Prasad Reddy, Sumit Gupta, Sandeep V.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 10
Year of Publication: 2011
Authors: G. Suvarna Kumar, P. V. G. D. Prasad Reddy, Sumit Gupta, Sandeep V.
10.5120/4525-6363

G. Suvarna Kumar, P. V. G. D. Prasad Reddy, Sumit Gupta, Sandeep V. . Intelligent Adaptive Feedback Assessment System in Learning Environment. International Journal of Computer Applications. 36, 10 ( December 2011), 11-16. DOI=10.5120/4525-6363

@article{ 10.5120/4525-6363,
author = { G. Suvarna Kumar, P. V. G. D. Prasad Reddy, Sumit Gupta, Sandeep V. },
title = { Intelligent Adaptive Feedback Assessment System in Learning Environment },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 10 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number10/4525-6363/ },
doi = { 10.5120/4525-6363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:22:48.422716+05:30
%A G. Suvarna Kumar
%A P. V. G. D. Prasad Reddy
%A Sumit Gupta
%A Sandeep V.
%T Intelligent Adaptive Feedback Assessment System in Learning Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 10
%P 11-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Effective evaluation of tutors and learning environment is a vital educational activity for the development of educational quality and enhancement of an educational institute’s improvement in terms of quality driven teaching and learning. Considering the above statement, it is mandatory to assess the learning activities and attitude of students towards learning along with changing trend from a teaching and learning perspective. In this paper an intelligent adaptive feedback-assessment (IAFA) system framework has been proposed where we provide relative feedback assessment by correlating different learning styles of students along with teacher’s resource utilization. The assessment is based on the features extracted using the techniques from the fields of computer vision and speech analysis. In audio processing the perception attitude of the students is taken into account which makes us compute relative and desirable audible features like speech rate, loudness for feedback analysis. Using video processing techniques for tracking and template matching, we compute resource utilization for teaching aids like black board, projector and student interaction and compare it with the desired values. The present algorithm has been rigorously tested with several sample classes of around 60 students with different student backgrounds i.e., non-English medium/English Medium/Native English speakers, and the performance results have been reported.

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Index Terms

Computer Science
Information Sciences

Keywords

Perceptual loudness Mermelstein algorithm Frame Differencing Edge Detection Template Matching Adaptability

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