Students Communicative Competence Prediction and Performance Analysis of Probabilistic Neural Network Model
The purpose of the research paper is to classify and assess the communicative competence of a class of thirty students of higher secondary school in India, before and after a well formulated training with the specially designed syllabus for the reinforcement of communicative competence. Regression statistics is applied to analyse the impact of different predictor variables for the total performance. The affecting variables or predictors are modelled applying Probabilistic Neural Network (PNN) techniques to classify the category of communicative competence performance of the learners. Learners are trained and tested in each component of communicative competence, based on the guidelines of Common European Framework of Reference for Language, Teaching and Assessment (CEFR).
Keywords: Education Data mining, Communicative Competence, Common European Framework of Reference for Language, Teaching and Assessment (CEFR), Regression Statistics, Probabilistic Neural Network (PNN), Learning Management System (LMS)
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ABOUT THE AUTHORS
N.Ayyanathan
N.Ayyanathan holds a Post Graduate Degree in Computer Applications-MCA from B.M.S. College of Engineering, Bangalore University & B.Sc. (Maths) from St. Joseph‟s College, Tiruchy- University of Madras. He is pursuing Ph.D in Anna University. His research area of expertise is Neural Network Modeling for Supply Chain Management and optimization, Time series prediction and Education Data Mining. He is a life member of ISTE. He worked as a Director (Technical) at First Computers from February 1995 to October 2002, Systems Analyst at Mascon Technical Services, Chennai from December 1992 to January 1995.At present he is working as Director/MCA at K.L.N.College of Information Technology at Pottapalayam, Sivagangai District since June 2007. His teaching and industry experience is more than 19 years and has published papers in National Conferences to his credit.
A.Kannammal
Dr.A.Kannammal has obtained her Ph.D in VIT University, Vellore She is working as an Associate Professor in MCA Department, Coimbatore Institute of Technology, Coimbatore. Her research interests are E-Business, Agent Technology and web technologies. She has many research publications both in national and international journals to her credit.
A.Bavani Rekha
A.Bavani Rekha is a Research Scholar of Madurai Kamaraj University, speciliazing in English Language Teaching and has teaching and industry experience of more than ten years
N.Ayyanathan
N.Ayyanathan holds a Post Graduate Degree in Computer Applications-MCA from B.M.S. College of Engineering, Bangalore University & B.Sc. (Maths) from St. Joseph‟s College, Tiruchy- University of Madras. He is pursuing Ph.D in Anna University. His research area of expertise is Neural Network Modeling for Supply Chain Management and optimization, Time series prediction and Education Data Mining. He is a life member of ISTE. He worked as a Director (Technical) at First Computers from February 1995 to October 2002, Systems Analyst at Mascon Technical Services, Chennai from December 1992 to January 1995.At present he is working as Director/MCA at K.L.N.College of Information Technology at Pottapalayam, Sivagangai District since June 2007. His teaching and industry experience is more than 19 years and has published papers in National Conferences to his credit.
A.Kannammal
Dr.A.Kannammal has obtained her Ph.D in VIT University, Vellore She is working as an Associate Professor in MCA Department, Coimbatore Institute of Technology, Coimbatore. Her research interests are E-Business, Agent Technology and web technologies. She has many research publications both in national and international journals to her credit.
A.Bavani Rekha
A.Bavani Rekha is a Research Scholar of Madurai Kamaraj University, speciliazing in English Language Teaching and has teaching and industry experience of more than ten years
