A novel method of case representation and retrieval in CBR for e-learning

In this paper we have discussed a novel method which has been developed for representation and retrieval of cases in case based reasoning (CBR) as a part of e-learning system which is based on various student features. In this approach we have integrated Artificial Neural Network (ANN) with Data mining (DM) and CBR. ANN is used to find the relationship between student characteristics and learning performance, DM to generate classification rules for learning outcomes which are further used to generate cases for the case base and CBR for reasoning. This adaptive system helps in facilitating the course content of different difficulty level to individuals according to their features. The result shows the above method provides the learning material to student as per their need and helps them to enhance their learning.

[1]  LiaoHung-Chang,et al.  Data mining for adaptive learning in a TESL-based e-learning system , 2011 .

[2]  Aditya Khamparia,et al.  Performance Analysis of SPARQL and DL-Query on Electromyography Ontology , 2015 .

[3]  Juan E. Gilbert,et al.  Adapting instruction in search of 'a significant difference' , 1999, J. Netw. Comput. Appl..

[4]  Abdel-Badeeh M. Salem,et al.  Case-based intelligent e-learning systems , 2005 .

[5]  Sebastián Ventura,et al.  Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems , 2007, EC-TEL.

[6]  Tai-Chang Hsia,et al.  Course planning of extension education to meet market demand by using data mining techniques - an example of Chinkuo technology university in Taiwan , 2008, Expert Syst. Appl..

[7]  Mei-Hua Hsu,et al.  Proposing an ESL recommender teaching and learning system , 2008, Expert Syst. Appl..

[8]  Ray-I Chang,et al.  Data mining for providing a personalized learning path in creativity: An application of decision trees , 2013, Comput. Educ..

[9]  Kijoon Chae,et al.  Attack Classification Based on Data Mining Technique and Its Application for Reliable Medical Sensor Communication , 2009, Int. J. Comput. Sci. Appl..

[10]  Hwa-Shan Huang,et al.  Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach , 2007, Expert Syst. Appl..

[11]  Gwo-Jen Hwang,et al.  An Object-Oriented Course Framework for Developing Adaptive Learning Systems , 2008, J. Educ. Technol. Soc..

[12]  Yi-Ting Chen,et al.  Cooperative learning in E-learning: A peer assessment of student-centered using consistent fuzzy preference , 2009, Expert Syst. Appl..

[13]  Judith E. Dayhoff,et al.  Neural Network Architectures: An Introduction , 1989 .

[14]  Tzu-Hua Wang,et al.  Developing Web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-Learning environment , 2011, Comput. Educ..

[15]  Andreas S. Pomportsis,et al.  The design and the formative evaluation of an adaptive educational system based on cognitive styles , 2003, Comput. Educ..

[16]  Tina R. Patil,et al.  Performance Analysis of Naive Bayes and J 48 Classification Algorithm for Data Classification , 2013 .

[17]  Vincenza Carchiolo,et al.  Adaptive Formative Paths in a Web-based Learning Environment , 2002, J. Educ. Technol. Soc..

[18]  Zorica Bogdanovic,et al.  Providing Adaptivity in Moodle LMS Courses , 2012, J. Educ. Technol. Soc..

[19]  Hung-Chang Liao,et al.  Data mining for adaptive learning sequence in English language instruction , 2009, Expert Syst. Appl..

[20]  Tzung-Shi Chen,et al.  Mining Frequent Tree-Like Patterns in Large Datasets , 2005, DASFAA.

[21]  Chien-Sing Lee,et al.  Diagnostic, predictive and compositional modeling with data mining in integrated learning environments , 2007, Comput. Educ..

[22]  C. A. Moore,et al.  Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications , 1977 .

[23]  Huey-Ing Liu,et al.  QoL guaranteed adaptation and personalization in E-learning systems , 2005, IEEE Trans. Educ..

[24]  Lynne Celli Sarasin.  Learning Style Perspectives: Impact in the Classroom , 1998 .

[25]  Gwo-Jen Hwang,et al.  Development of an Adaptive Learning System with Multiple Perspectives based on Students? Learning Styles and Cognitive Styles , 2013, J. Educ. Technol. Soc..

[26]  Aditya Khamparia,et al.  Knowledge and intelligent computing methods in e-learning , 2015 .

[27]  Neural Network Architecture , 2010, Encyclopedia of Machine Learning.

[28]  Martin J. Goedhart,et al.  The influence of student characteristics on the use of adaptive e-learning material , 2012, Comput. Educ..

[29]  Leonore Ganschow,et al.  Anxiety about Foreign Language Learning among High School Women , 1996 .

[30]  Dechawut Wanichsan,et al.  A Personalized E-Learning Environment to Promote Student's Conceptual Learning on Basic Computer Programming , 2014 .

[31]  Chih-Ming Chen,et al.  Personalized curriculum sequencing utilizing modified item response theory for web-based instruction , 2006, Expert Syst. Appl..

[32]  Paulo Gomes,et al.  Using Textual CBR for e-Learning Content Categorization and Retrieval , 2007 .

[33]  Hung-Chang Liao,et al.  Data mining for adaptive learning in a TESL-based e-learning system , 2011, Expert Syst. Appl..

[34]  Chih-Kai Chang,et al.  Student Portfolio Analysis by Data Cube Technology for Decision Support of Web-Based Classroom Teacher , 1998 .

[35]  Gwo-Dong Chen,et al.  Discovering Decision Knowledge from Web Log Portfolio for Managing Classroom Processes by Applying Decision Tree and Data Cube Technology , 2000 .

[36]  Aditya Khamparia,et al.  CBR based approach for adaptive learning in E-learning system , 2014, Asia-Pacific World Congress on Computer Science and Engineering.

[37]  Gwo-Jen Hwang,et al.  Development of an adaptive learning system with two sources of personalization information , 2008, Comput. Educ..

[38]  U. Krishnakumar,et al.  Constructing a personalized e-learning system for students with autism based on soft semantic web technologies , 2012, 2012 IEEE International Conference on Technology Enhanced Education (ICTEE).

[39]  E. Horwitz,et al.  Foreign Language Classroom Anxiety , 1986 .