Sentence examples for non-expert knowledge from inspiring English sources

Exact(2)

This shows the possibilities of using non-expert knowledge aggregation techniques when expert knowledge is unavailable.

It stems from the common sense (Geus and Thiering 2014) and from non-expert knowledge.

Similar(58)

However MCPS tools can integrate the non-expert observers with experts possessing sufficient knowledge to make relevant inferences.

However, general knowledge offered by non-expert users is in general much less carefully formulated than, say, encyclopedia entries or word sense glosses in lexicons, and still requires natural language processing if formal statements are to be abstracted.

The reported disadvantages of non-expert biomedical teaching with respect to knowledge transmission [ 32] and disease understanding [ 33] have been parried by numerous studies showing no detectable information deficits in PBL-trained (compared to lecture-taught) students [ 34- 38].

There is there an 'expert to non-expert' interaction, with little likelihood of shared knowledge between participants, as well as a situation where the unshared knowledge is highly technical and difficult to communicate verbally or with traditional media.

Experts' ratings were higher for two statements relating to the realism of the simulator to simulate the TVUS scan of a female pelvis and in providing actual action of all buttons in the control panel (statements 2 and 6) This may stem from non-experts' limited knowledge and experience, or they might not be familiar with the measurement possibilities of virtual simulators [20, 23].

Other groups confirmed this new finding and it was proposed that highly structured cases may reduce the knowledge gap between expert and non-expert preceptor and/or reduce the dependency of students' learning on their preceptors' knowledge [ 10, 11].

The framework specifically addresses non-expert programmers, as it requires only basic knowledge of Python and relies largely on existing successful open-source software, e.g. OpenMS.

The maps were used in key informant interviews with local transportation-relevant professionals to access their expert knowledge, and in focus groups with non-expert residents to probe their travel routines and need to access essential goods, services and activities.

In other words, they do not ensure if a non-expert user can effectively retrieve and reuse the represented knowledge.

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