By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...

Abstract: Unsupervised domain adaptation (UDA) aims to transfer knowledge from the labeled source domain to the fully unlabeled target domain, thus improving the classification performance of the ...