chaolin liu jeoxidznccuedutw call papers workshop bayesian networks intelligent tutoring banit 2006 eighth international conference intelligent tutoring systems jhongli taiwan june 2630 2006 2006 httpwwwits2006org banit 2006 httpwwwlccumaesbanit06 due date april 3 2006 personalization adaptivity invaluable features modern intelligent tutoring systems however easy software decide adapt performance meet individual students needs partially rare deterministic correspondences observe need know making best decisions intelligent tutoring instance students make inadvertent intentional mistakes competent subject matter tested also difficult infer students learning needs observing explore educational web sites building operational models capture reason uncertainty thus important intelligent tutoring aims meeting individual students needs bayesian networks offer great formalism modeling uncertainty adopted many applications including intelligent tutoring past decade satellite workshop eighth international conference intelligent tutoring systems aims providing forum interested researchers practitioners discuss share methodologies applications bayesian networks aspects intelligent tutoring interested topics thus include limited learn bayesian networks interest either experts data apply bayesian networks modeling major participants including students teachers learning processing models help us choose pedagogical activities including student assessment course material presentation practical issues reusability maintenance scalability resulting tutoring assistance systems topics main purpose workshop attract researchers interested methodologies applications bayesian networks influence diagrams also known decision networks intelligent tutoring topics include limited following subject matters building networks using experts opinion learning data theoretical models etc user modeling diagnosis knowledgeskills multilayered models affective computing emotional monitoring etc task selection algorithms curriculum sequencing testing knowledge problem selection etc displaying results users inspectable models open models etc reusability maintenance upgrade systems practical barriers adoption format workshop consist paper presentation poster session discussions submission wish attend welcomed submit papers one following three forms accepted papers included workshop proceedings long paper eight pages short paper four pages poster session position paper two pages submissions accepted pdf format using provided formatting guidelines available workshop web site httpwwwlccumaesbanit06 encounter difficulties submitting papers please contact workshop organizers eva millan chaolin liu program committee russell g almond educational testing service usa cory butz university regina canada kinshuk massey university new zealand chaolin liu national chengchi university taiwan heather maclaren university british columbia canada eva millan university malaga spain antonija mitrovic university cantebury new zealand chas murray carnegie learning inc usa jose l perezdelacruz university malaga spain jim reye queensland university technology australia jiri vomlel academy science czech republic diego zapata educational testing service usa important dates april 3 2006 submission deadline april 20 2006 acceptance notification may 5 2006 final version deadline june 26 27 2006 announced additional information additional information updates workshop posted httpwwwlccumaesbanit06 thu 07 aug 2008 085931 0800 uai cfp bayesian networks intelligent tutoring