Toward E-Content Adaptation: Units’ Sequence and Adapted Ant Colony Algorithm

Information

Naoual Chaouni Benabdellah²  Mourad Gharbi²  Mostafa Bellafkih¹ 

[1] STRS Laboratory, National Institute of Posts and Telecommunication (INPT), 2, Avenue Allal EL Fassi-Madinat AL Irfane, 10000 Rabat, Morocco; E-Mail:;LIMIARF and STRS Laboratories, Faculty of Science, Mohammed V University, Avenue Al Oumam AlMouttahida, 10500 Rabat, Morocco; E-Mail:

关键词: content adaptation;    ant colony algorithm;    course design;    evaluation;    learner’s profile;   

DOI  :  10.3390/info6030564

来源: mdpi

【 摘 要 】

An adapted ant colony algorithm is proposed to adapt e-content to learner’s profile. The pertinence of proposed units keeps learners motivated. A model of categorization of course’s units is presented. Two learning paths are discussed based on a predefined graph. In addition, the ant algorithm is simulated on the proposed model. The adapted algorithm requires a definition of a new pheromone which is a parameter responsible for defining whether the unit is in the right pedagogical sequence or in the wrong one. Moreover, it influences the calculation of quantity of pheromone deposited on each arc. Accordingly, results show that there are positive differences in learner’s passages to propose the suitable units depending on the sequence and the number of successes. The proposed units do not depend on the change of number of units around 10 to 30 units in the algorithm process.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.