Learning by doing with images and words

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Learning Words from Images and Speech

This paper explores the possibility to learn a semantically-relevant lexicon from images and speech only. For this, we train a multi-modal neural network working both on image fragments and on speech features, by learning an embedding in which images and content words that co-occur together are close. Making no assumption on the acoustic model, this paper shows promising results on how multi-mo...

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Learning by doing.

You have roughly 40 contact hours in a typical course. If all you do in them is lecture, you might as well just hand out your notes and let the students find something more productive to do with all that time. The only way a skill is developed—skiing, cooking, writing, critical thinking, or solving thermodynamics problems—is practice: trying something, seeing how well or poorly it works, reflec...

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This chapter reviews the theoretical and empirical literature on learning by doing. Many of the distinctive theoretical implications of learning by doing have been derived under the assumption that the cost-quantity relationships observed in numerous empirical studies are largely the result of passive learning, and some further require that passive learning is unbounded. The empirical literatur...

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Learning by doing with shareable interfaces

New technologies, such as multi-touch tables, increasingly provide shareable interfaces where multiple people can simultaneously interact, enabling co-located groups to collaborate more flexibly than using single personal computers. Soon, these technologies will make their way into the classroom. However, little is known about what kinds of learning activities they will effectively support that...

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ژورنال

عنوان ژورنال: Artifact

سال: 2017

ISSN: 1749-3471,1749-3463

DOI: 10.14434/artifact.v4i1.23934