Sentence examples for experimentation in learning from inspiring English sources

Exact(1)

What we are really risking is that our next generation of learners will become convinced, at an even younger age, that there is no experimentation in learning, that there is no joy in successful failure and worst of all, that there is no purpose to school but passing tests and getting through.

Similar(59)

These factors are aspects of scientific awareness, experimentation, initiative, oblivion in learning, engrossment in learning, and acquiring of skills.

He proposes a framework to export experiments to specifically designed experiment databases based on an ontology for experimentation in machine learning.

Especially compelling are the sections on the role of experimentation and playing pretend in learning.

In summary, the twelve factors include scientific awareness, rational observation, experimentation, application, visualization, initiative, quantification, oblivion in learning, engrossment in learning, integrated learning, and acquiring of skills.

Exploratory factor analysis using the principal component analysis as the extraction method identified 12 factor components: scientific awareness, rational observation, experimentation, application, visualization, initiative, quantification, oblivion in learning, engrossment in learning, integrated learning, and acquiring of skills.

"We think this technology will become a part of consumers' lives," said Chuck Fruit, vice president and director for media and marketing assets at Coca-Cola in Atlanta, "so we've got some experimentation and learning to do".

Experimentation is learning.

In an elementary "how not to" for regulatory regimes, the government has specified for many services not only numerical targets but also the means to be used to achieve them - thus extinguishing at source any possibility of experimentation and learning.

As I explain, there's a particularly important role for universities in this emerging Knowosphere as hubs of experimentation, learning and, most important, doing.

The machine learning revolution In light of how testing has evolved, the giant leap forward today is the coupling of multi-armed bandit experimentation and machine learning.

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