A retrospective review on a decade of building a national science digital library to transform STEM education

Author(s):  
Sarah Giersch ◽  
Flora McMartin
2010 ◽  
Vol 16 (5/6) ◽  
Author(s):  
Qiao Xiaodong ◽  
Liang Bing ◽  
Yao Changqing

2013 ◽  
Vol 336-338 ◽  
pp. 2270-2276
Author(s):  
Zhi Ping Zhang ◽  
Lin Na Li ◽  
Hai Yan Yu

Research shows that recommendations comprise a valuable service for users of a digital library. We proposed a hybrid document recommender system based on random walk. It builds correlation network among users based on the conditional probability in order to solve the sparsity of collaborative filtering. On the other hand, it computes the rating of source user for target item not only based on the neighborhoods’ ratings for target item but also based on the neighborhoods’ ratings for item which is most similar to target item. This can solve the cold start problem of recommender systems. We performed an evaluation on the dataset of National Science and Technology Library. Experimental results illustrate the superiority of the proposed method.


2010 ◽  
Vol 72 (1) ◽  
pp. 20-22 ◽  
Author(s):  
Susan E. Riechert ◽  
Brian K. Post

The national Science, Technology, Engineering, and Math (STEM) Education Initiative favors a curriculum shift from the compartmentalization of math and science classes into discrete subject areas to an integrated, multidisciplinary experience. Many states are currently implementing programs in high schools that provide greater integration of math, sciences, and technology. Program evaluation results indicate that students participating in multidisciplinary team projects of this type exhibit significantly higher levels of motivation and develop greater cognitive skills than students in the traditional, compartmentalized curriculum (Ross & Hogaboam-Gray, 1988; Venville et al., 2000).


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