Sentence examples for better learning as compared from inspiring English sources

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Research has consistently demonstrated that testing produces better learning as compared to elaborative encoding (Karpicke & Blunt 2011; Karpicke & Smith 2012).

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Firstly, it was expected that students learning with SIM-RDL would learn better as compared to students learning with SIM due to development of more Representational Competence.

Students in their clinical years claimed that they were more active in learning, and had better learning skills and confidence in self-directed learning as compared with students from lecture-based curricula.

Moving towards a more just-in-time way of learning, as compared with just-in-case learning could help teachers make more immediate connection of what they have learnt to their practice and hence the relevance and impact of application could be better traced.

Both the positive and negative emotional text design led to better learning outcomes compared with the control group.

In a recent review, Chi (2009) showed that learning activities in which learning partners used one another as information resources and built on one another's thoughts were associated with better learning outcomes when compared to other types of activities.

Moreover, real time of launching the local learning model without re-training has better results as compared with launch time of fuzzy neural system.

In terms of testing speed, all three methods show better performance as compared to the pair-wise methods for multi-label learning.

This solution demonstrated better performance as compared to a baseline approach; however, details on the baseline approach are not documented in the paper and no other transfer learning solutions are tested.

This results in better restoration of image and better contrast as compared to the CBD.

Dr. Stossel holds that medical care is incomparably better today as compared to five decades ago.

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