%0 Journal Article
%T LS-Pre; Forecast the Learners'' Learning Styles Adaptively in an Open Learning Environment<br>LS-Pre:在开放式学习环境中自适应地预测学习者学习风格
%A YANG Juan ZHANG Yang-li
%A <br>杨娟
%A 张养力
%J 计算机科学
%D 2012
%I 
%X Learners always have their learning style preferences according to their different cognitive processes. Auto- matically modeling the learners' learning style can get the more accurate information compared with the questionnaires which is free from the problem of inaccurate self-conceptions of the learners. There are many problems in the current LS detecting methods, like only can detect the I_S dimensions in a specific model, can not adaptively adjust the I_S prefer- ences in a different learning environment. We provided a new method to forecast the learners' LSs which is called LS- Pre. In LS-Pre, non-linear dynamic programming is used to construct the mathematic model while simulated annealing algorithm is used to optimize the goal function. We illustrated the effectiveness of I_S-Pre in part 4 of this paper.
%K Learning style(LS)
%K Learning style dimension
%K Behavior matrix<br>学习风格
%K 学习风格维度
%K 行为表象矩阵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D5B7C4A24E11D7BA5AD0F6633E90DCCB&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=38B194292C032A66&sid=CA5852BD1A173B3A&eid=D6354F61445E9456&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0