DocumentCode :
169561
Title :
Ant colony algorithm and new pheromone to adapt units sequence to learners´ profiles
Author :
Benabdellah, Naoual Chaouni ; Gharbi, M. ; Bellafkih, Mostafa
Author_Institution :
Fac. of Sci. of Rabat, LIMIARF Lab., Mohammed V Agdal Univ., Rabat, Morocco
fYear :
2014
fDate :
7-8 May 2014
Firstpage :
1
Lastpage :
8
Abstract :
The use of new information and communication technology is increasingly common nowadays. Content adaptation of learner´s profile is an issue that concerns many researchers in education field. Several studies have been conducted to achieve high quality learning and adapt the content to learners´ profiles. Some researchers have properly applied the ant colony algorithm to the field of e-Iearning. In this work we are interested in the improvement of ant colony algorithm for scheduling units of courses (e.g., a Java course). We follow a pedagogical way to establish units. We define five concepts to maintain learners´ motivation and adapt the algorithm behavior to our context. So our contribution is a new pheromone that influences the algorithm to choose the right unit in a pedagogical sequence. Many changes are taken into consideration to implement the new version of ant colony algorithm. The trainers apply weights to each arc that are linking two units of the course. The profile definition is a part that was preliminary defined in previous work using fuzzy logic method [2]. Method Roulette Wee I is applied for the selection part. This method is interested in finding the final state. It is used in addition to the ant colony algorithm for the path exploration and optimal learning path.
Keywords :
ant colony optimisation; computer aided instruction; content management; educational courses; fuzzy logic; human factors; scheduling; Roulette Wee method; ant colony algorithm; content adaptation; course scheduling unit; e-Iearning; education field; fuzzy logic method; information and communication technology; learner motivation; learner profile; optimal learning path; path exploration; pedagogical sequence; pheromone; units sequence; Communications technology; ant colony algorithm; content adaptation; e-learning adaptatif; fuzzy method; roulette Weel; schedule units;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4799-3566-6
Type :
conf
DOI :
10.1109/SITA.2014.6847300
Filename :
6847300
Link To Document :
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