Towards Representation and Validation of Knowledge in Students' Learning Pathway Using Variability Modeling Technique

Nowadays, E-learning system is considered as one of the main pillars in the learning system. Mainly, E-Learning system is designed to serve different types of students. Thus, providing different learning pathways are a must. In this paper, we introduce the variability technique to represent the knowledge in E-learning system. This representation provides different learning pathways which supports the students' diversity. Moreover, we validate the selection of learning pathway by introducing First Order Logic (FOL) rules.

[1]  E. Lutton,et al.  Artificial Ant Colonies and E-Learning : An Optimisation of Pedagogical Paths , 2002 .

[2]  Hueyching Janice Jih.  The impact of learners' pathways on learning performance in multimedia computer aided learning , 1996 .

[3]  Kathrin Berg,et al.  Tracing software product line variability: from problem to solution space , 2005 .

[4]  Hubert Vogten,et al.  Towards a learning path specification , 2008 .

[5]  John J. Clement,et al.  Model based learning as a key research area for science education , 2000 .

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

[7]  J. Clement.  Six Levels of Organization for Curriculum Design and Teaching , 2008 .

[8]  Klaus Schmid,et al.  Software product lines in action - the best industrial practice in product line engineering , 2007 .

[9]  Lung-Hsiang Wong,et al.  Adaptable Learning Pathway Generation with Ant Colony Optimization , 2009, J. Educ. Technol. Soc..

[10]  D. Bauerova.  Where (who, what) are the drivers for the new model of learning? , 2006, 28th International Conference on Information Technology Interfaces, 2006..

[11]  Jan Bosch,et al.  A taxonomy of variability realization techniques , 2005, Softw. Pract. Exp..

[12]  Klaus Pohl,et al.  Software Product Line Engineering - Foundations, Principles, and Techniques , 2005 .

[13]  Kyo Chul Kang,et al.  Feature-Oriented Domain Analysis (FODA) Feasibility Study , 1990 .

[14]  Chih-Ming Chen,et al.  Mining learner profile utilizing association rule for web-based learning diagnosis , 2007, Expert systems with applications.