Anh Nguyen Viet

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Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ability, background and learning style of them. ACGs is also separated content from model of course and extended learning objects in order to using intelligent agent to help them(More)
This research focuses on learning path selection – a part of work in my doctoral research whose goal is to develop an adaptive hypermedia. To generate adaptive learning path for each learner, we base on learner’s profile in which learner’s model is evaluated as well as stored. We have supplemented some attributes of learning object as well as a set of(More)
The two 16-manganese-containing, Keggin-based 36-tungsto-4-silicates [Mn(III)10Mn(II)6O6(OH)6(PO4)4(A-α-SiW9O34)4](28-) (1) and [Mn(III)4Mn(II)12(OH)12(PO4)4(A-α-SiW9O34)4](28-) (2) have been prepared by reaction of the trilacunary Keggin precursor [A-α-SiW9O34](10-) with either Mn(OOCCH3)3·2H2O (for 1) or MnCl2·4H2O (for 2), in aqueous phosphate solution(More)
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