New research proposes a unified theory of brain function based on criticality—a state where the brain teeters between order ...

The pandemic will likely widen achievement gaps along these dimensions given schools’ and parents’ differing engagement with online resources to compensate for lost school-based learning time.

In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communications based on deep reinforcement learning, which can be applied to both unicast and ...

Teachers can explore with students what not to do—like confusing operations in math or using boring word choices in ...

Teachers can use an artificial intelligence framework when developing projects to provide well-rounded learning experiences.

Apple researchers unveil PROSE, a new technique that helps AI learn your personal writing style by studying past emails and ...

Through an innovative fellowship model, a group of education leaders designed four projects to build lasting relationships ...

In EMG based pattern recognition (EMG-PR), deep learning-based techniques have become more prominent for their self-regulating capability to extract discriminant features from large data-sets.

(Example for using the fair assessment framework to uncover the free-riding ... Pourhejazy, P., and Isaksen, K. R. (2024). Exploring the curricular and pedagogical decision criteria for research-based ...

Effects of Language Barriers and Social Integration on Academic Achievement of International Students. Open Access Library Journal, 12, 1-15. doi: 10.4236/oalib.1113542 . Language barriers are a ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...