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A Recommendation System Operating after Assessment to Correct Learning Paths in a Content Adapting System

by Yassine Zaoui Seghroucheni, Al Achhab Mohammed, Badr Eddine El Mohajir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 13
Year of Publication: 2014
Authors: Yassine Zaoui Seghroucheni, Al Achhab Mohammed, Badr Eddine El Mohajir
10.5120/16279-6061

Yassine Zaoui Seghroucheni, Al Achhab Mohammed, Badr Eddine El Mohajir . A Recommendation System Operating after Assessment to Correct Learning Paths in a Content Adapting System. International Journal of Computer Applications. 93, 13 ( May 2014), 44-51. DOI=10.5120/16279-6061

@article{ 10.5120/16279-6061,
author = { Yassine Zaoui Seghroucheni, Al Achhab Mohammed, Badr Eddine El Mohajir },
title = { A Recommendation System Operating after Assessment to Correct Learning Paths in a Content Adapting System },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 13 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 44-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number13/16279-6061/ },
doi = { 10.5120/16279-6061 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:41.501140+05:30
%A Yassine Zaoui Seghroucheni
%A Al Achhab Mohammed
%A Badr Eddine El Mohajir
%T A Recommendation System Operating after Assessment to Correct Learning Paths in a Content Adapting System
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 13
%P 44-51
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present a model of an adapting learning system based on a recommendation system, operating after assessment to correct learning path of the learners who have experienced difficulties in the assessment. The approach aims to correct the learning path of the learners who have failed at the assessment, by calculating the similarities in behaviors between them and those who did, then recommend them the learning objects that can build the most relevant learning path.

References
  1. Peter Brusilovsky, Methods and techniques of adaptive hypermedia, User Modeling and User Adapted Interaction, 1996, v 6, n 2-3, pp 87-129 , 1996.
  2. Sadat, H. , & Ghorbani, A. A. (2004), On the Evaluation of Adaptive Web Systems. Proceedings of the Workshop on Web-based Support Systems,2004, 127-136.
  3. Brusilovsky, P. , Milln, E. (2007) User models for adaptive hypermedia and adaptive educational systems. In: Brusilovsky, P. , Kobsa, A. , Neidl,W. (eds. ): The Adaptive Web: Methods and Strategies of Web Personalization. Lecture Notes in Computer Science, Vol. 4321. Springer- Verlag, Berlin Heidelberg New York.
  4. Felder, R. M. and L. K. Silverman, Learning Styles and Teaching Styles in Engineering Education, Presented at the 1987 Annual Meeting of the American Institute of Chemical Engineers, New York, Nov. 1987.
  5. Paraskevi Tzouveli Phivos Mylonas, Stefanos Kollias, An intelligent e-learning system based on learner profiling and learning resources adaptation,National Technical University of Athens, School of Electrical and Computer Engineering, Athens, Greece Received 7 February 2007;received in revised form 4 May 2007; accepted 4 May 2007.
  6. Emmanuel Blanchard, Ryad Razaki, Claude Frasson Cross Cultural Adaptation of e-learning Contents, Emmanuel Blanchard, Ryad Razaki, Claude Frasson, HERON Laboratory, Computer Sciences Department Universit de Montral, C. P. 6128. Succ. Centre-Ville Montral, Qubec, Canada H3C3J7.
  7. Boyan Bontchev and Dessislava Vassileva Courseware Adaptation to learning styles and knowledge level, Department of Software Engineering, Sofia University, Sofia Bulgaria.
  8. Botchev et Vassileva 2011.
  9. Silvia Schiaffino , Patricio Garcia, Analia Amandi, E-teacher providing personalized assistance to e-learning students? SISTAN Research Institute Fac. Cs. Exactas - UNCPBA, Campus Universitario, Paraje Arroyo Seco, 7000 Tandil, Buenos Aires, Argentina, 2008.
  10. Elvira Popescu, Costin Badica and Lucian Morare, Accommodating learning styles in an adaptive educational system? University of Craiova, A. I. Cuza 13, 200585 Craiova, Romania.
  11. Ana-Elena Guerrero-Roldn , Juli Minguilln Alfonso Adaptive learning paths for Improving lifelong learning experiences? Department of Computer Science, Universitat Oberta de Catalunya, Barcelona, Spain.
  12. Stphanie Jean-Daubias, Thi-Thu-Hong Phan, Different levels of modeling for learner profiles,
  13. Vincenza Carchiolo and Alessandro Longheu and Michele Malgeri and Giuseppe Mangioni, An Architecture to Support Adaptive E-Learning, IJCSNS International Journal of Computer Science and Network Security, VOL. 7 No. 1, January 2007.
  14. Sampson, D. , Karagiannidis, C. , Cardinali, F, An Architecture for Webbased e-Learning Promoting Re-usable Adaptive Educational e-Content, Educational Technology Society 5 (4), 2002, ISSN 1436-4522.
  15. Sabone Graf, Silvia Rita Viola,Tommaso Leo and Kinshuk In-Depth Analysis of the Felder-Silverman Learning Style Dimensions, Journal of Research on Technology in Education, 2007, 40(1).
  16. Sabine Graf and Kinshuk Providing Adaptive Courses in Learning Management Systems with Respect to Learning Styles, Vienna University of Technology Women's Postgraduate College for Internet Technologies Vienna, Austria Athabasca.
  17. Nabila Bousbia, Issam Reba, Jean-Marc Labat, Amar Balla, Analyzing the record Relationship between Learning Styles and Navigation Behavior in Web-Based Educational System, Knowledge Management ELearning: An International Journal, Vol. 2, No. 4. 400
  18. Carver, C. A. Howard , R. A. , Lane, W. D. , Enhancing student learning through hypermedia courseware and incorporation of student learning styles. IEEE Transactions on Education, 42 , p. 33-38 1999.
  19. Felder , R. M. , Silverman , L. K. (1988), Learning and Teaching Styles in Engineering Education Education. Engineering , 78 (7). Preceded by a preface in 2002.
  20. Papanikolaou , KA , Grigoriadou , M. , Kornilakis , H. , Magoulas , GD (2003) Personalizing the interaction in a Web-based educational hypermedia system : the case of INSPIRE . User- Modeling and User -Adapted Interaction, 13, pp . 213-267.
  21. Cha, H. J. , Kim , Y. S. , Lee , J. H. Yoon , T. B. 2006, An Adaptive Learning System with Learning Style Diagnosis based on Interface Behaviors, Creative Design Intelligent Tutoring Systems (CREDITS) Research Center12345 School of Information Communication Engineering Sungkyunkwan University, Suwon, Korea .
  22. Bajraktarevic, N. , Hall, W. , Fullick, P. Incorporating learning styles in hypermedia environment: Empirical evaluation. Proc. Workshop on Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 41-52, 2003.
  23. Popescu , Diagnosing Students Learning Style in an Educational Hypermedia System, Software Engineering Department, University of Craiova, Romania Str. A. I. Cuza nr. 13, 200585 Craiova, Romania 2009.
  24. David Kolb, Experiential learning: experience as the source of learning and development 1984.
  25. Honey and Mumford, Using Your Learning Styles - second edition, Peter Honey, Maidenhead, 1986.
  26. Carver, C. A. , Howard, R. A. and Lane,W. D (1999). Enhancing Student Learning Through Hypermedia Courseware and Incorporation of Student Learning Styles, IEEE Transactions on Education, vol. 42, no. 1, 1999, pp. 33-38. ,
  27. Brown New Learning Environments for the 21st Century - John Seely Brown, 2006
  28. Popescu, E. and Badica, C. and Trigano, P. Description and Organization of Instructional Resources in an Adaptive Educational System Focused on Learning Styles , Advances in Intelligent and Distributed Computing ed. : Springer, Vol. 78, ISBN : 978-3-540-74929-5, pp. 177- 186, 2008 ,
  29. E. Sangineto, N. Capuano, M. Gaeta, A. Micarelli, Adaptive Course Generation through Learning Styles Representation, International Journal of Universal Access in the Information Society, Vol. 7 (1), pp. 1-23, 2008
  30. Richard M. Felder and Joni Spurlin Applications, Reliability and Validity of the Index of Learning Styles, 2005
  31. Verret and Chevallard, Transposition Didactique, 1985,1991
  32. Conseil Suprieur de lducation, (CSE, 2001 dans Caron, 2003
  33. Halina Przesmycki, la pdagogie diffrencie, 2004, Hachette
  34. les ingalits et la diffrenciation de l'enseignement, Facult de psychologie et des sciences de l'ducation, Universit de Genve, 2003.
  35. Philippe Meiriu, Apprendre. . . oui, mais comment , ESF éditeur, Paris, 1987, 17° edition, 1999.
  36. David wiley,"Learning Objects: Difficulties and Opportunities", 03april 2003.
  37. Miguel Latorre and al, "An experience on learning object reutilization based on educational resources developed, 2009.
  38. L'Allier, James J. (1997) Frame of Reference: NETg's Map to the Products, Their Structure and Core Beliefs. NetG.
  39. Self-directed learning: a four step process, Centre for Teaching Excellence, University of Waterloo. Available Online: https://uwaterloo. ca/centre-for-teaching-xcellence/teaching-resources/teaching-tips/tips-students/self-knowledge/understanding-your-learning-style
Index Terms

Computer Science
Information Sciences

Keywords

Content adapting system Recommendation System Learning Path Learning Style Learning Object.

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