International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1389
12
1
gregorian
2011
3
1
3
1
online
1
fulltext
fa
An Intelligent Method for Customizable Adaptive Learning Content Generation
فناوری اطلاعات
Information Technology
پژوهشي
Research
<p>E-learning environments are being used more efficiently by the rapid growth in internet and multimedia technologies. Adaptive learning is a kind of learning environment which provides individual learning. It can customize the learning style according to the individual's personality and characteristics. Although there are a lot of e­learning systems having adaptive learning feature, they do not satisfy all adaptive learning aspects. This paper proposes a new method which tries to help learners find educational contents adapted to their personalities in an efficient manner. Our proposed method has four essential parts: 1) It finds out learner's features by MBTI and Kolb learning style tests or Bayesian networks. 2) Then It tries to select the most appropriate adaptive learning objects with 0/1 knapsack problem in a limited amount of time determined by learner. 3) An ant colony optimization algorithm is proposed to solve 0/1 knapsack problem efficiently. 4) Selected learning objects are then sequenced in order to preserve the prerequisites. Also we created a software application based on this method called BehAmooz for learners to find and comprehend the educational contents effectively. The results obtained by experimentations showed that this method could satisfy most of the students.</p>
£-learning, Adaptive learning, MBTI test, Kolb test, Bayesian networks, 0/1 Knapsack, Ant Colony Optimization (ACO), Sequencing
43
55
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-196&slc_lang=fa&sid=1
Ehsan
Haghshenas
1003194753284600644
1003194753284600644
Yes
Arya
Mazaheri
1003194753284600645
1003194753284600645
No
Ameneh
Gholipour
1003194753284600646
1003194753284600646
No
Maryam
Tavakoli
1003194753284600647
1003194753284600647
No