Sentence examples for generation knowledge from inspiring English sources

We introduce the dynamic knowledge loop as a method to analyze processes of knowledge generation, knowledge exchange, and social learning.

The empirical results were analyzed with regard to processes of knowledge integration, knowledge generation, knowledge exchange, and social learning.

The "dynamic knowledge loop" explores processes of knowledge generation, knowledge exchange, and social learning in inter- and transdisciplinary cooperation and relates them to adaptive capacity.

To deal with this issue, we presented a novel way to analyze and understand the dynamic processes of transdisciplinary knowledge generation, knowledge exchange, and social learning.

Building upon these results, we stress the importance of knowledge generation, knowledge exchange, and social learning to build up adaptive capacity through different forms of cooperation between science and practice.

Bridging different efforts to define social learning, Reed et al. (2010) have elaborated a definition of social learning that distinguishes between processes of individual learning, knowledge generation, knowledge exchange, and social learning.

New generation knowledge-based systems should be fully integrated into their environment, by exploiting existing information sources, and should be flexible and easily extensible.

It's where he takes his third-generation knowledge of food and the restaurant business, his interest in French techniques and his notion of global cuisine and applies it to everything from soup to tea.

Manop Sutipayakul, the chief and owner, formerly of Déjà Vu in Montclair, uses his third-generation knowledge of food and the restaurant business to make sumptuous dishes including crisp fried red snapper in a sultry sauce, marinated seared tuna, grilled seafood platter, grilled squid salad, sautéed wild boar, rabbit with curry and sticky ice with mango and coconut milk sauce.

Together, these advancements are intended to provide the national security community with a next-generation knowledge discovery system that associates relevant information across various source modalities.

This primarily people-oriented chapter takes a next step forward from the previous chapter on big data ethics to discuss the current data science education landscape, and how we are preparing next-generation knowledge workers to be the new leaders of IT.