Constructing a bayesian belief network to generate learning path in adaptive hypermedia system

In this paper, we promote an algorithm based on shortest path search algorithm to evaluate learning object (LO) based on its attributes and constructed a Bayesian Belief Network (BBN) to generate learning path for each learner. | ’ Tap ch´ Tin hoc v` Diˆu khiˆn hoc, , (2008), 12–19 ı a ` e e . . . CONSTRUCTING A BAYESIAN BELIEF NETWORK TO GENERATE LEARNING PATH IN ADAPTIVE HYPERMEDIA SYSTEM NGUYEN VIET ANH, NGUYEN VIET HA, HO SI DAM College of Technology- Vietnam National University Hanoi, Vietnam; vietanh@ Abstract. There are many methods and techniques which have been promoted to develop adaptive hypermedia systems [1]. Our model approach [2], generating adaptive courses based on learner’s profile which learner’s includes background, skills, . One of important steps in our model is to generate learning path adaptive for each learner. In this paper, we promote an algorithm based on shortest path search algorithm to evaluate learning object (LO) based on its attributes [3] and constructed a Bayesian Belief Network (BBN) to generate learning path for each learner. ’ ´ ´ ’ ` e a e a e a e o ıch T´m t˘t. Nhiˆu ph´p c˜ ng nhu. k˜ thuˆt dˆ xuˆt dˆ ph´t triˆn c´c hˆ thˆng hoc th´ o a e a u y a . . ` . ´ . ’ ’ nghi. Mˆ h` cua ch´ ng tˆi ph´t triˆn nh˘m tao ra c´c kh´a hoc th´ nghi trˆn c´c thˆng tin o ınh ’ u o a e a a o . ıch e a o . . ´ ` ’ ıch ’ ` . e u y a o u ´ o ınh vˆ hoc nhu. kiˆn th´.c, k˜ n˘ng, so. th´ vv. Mˆt trong nh˜.ng quan trong cua mˆ h` e . . ´ l` tao ra c´c tiˆn tr` hoc th´ nghi cho t`.ng hoc. B`i b´o n`y ch´ ng tˆi tr` b`y thuˆt a . a e ınh . ıch u ` . a a a u o ınh a a . .a trˆn thuˆt to´n t` di ng˘n nhˆt dˆ chon c´c dˆi hoc v`o thuˆc t´ ’ ´ ´ e . ´ to´n du a a a e a a ım ` a o ınh . . . a o . . . . ’ ´ ´ ’ a a e . a e ınh . u . o cua ch´ ng v` xˆy mang x´c suˆt Bayesian Belief dˆ tao ra c´c tiˆn tr` hoc ph` v´.i nhu u a a . . ` cˆu hoc. a ` . INTRODUCTION With innovation of internet technology, web based training systems have been developed to support learner who can learn every time, everywhere. However, hardly do the learners obtain knowledge that they .