At the same time, AI chatbots can potentially provide young people with an opportunity to practice and build social-emotional skills in a low-stakes environment. For example, students can rehearse ...
Denton ISD had to end their small but successful virtual academy in 2023 when state funding wasn't provided. A new law is letting them bring online schooling back.
This one-of-a-kind conference is meeting the needs of South Central Pennsylvania by providing early education professionals with important training. The 2026 Virtual Early Learning Conference ...
If you have school-aged kids, you've probably experienced eLearning this school year. Bitter cold temperatures, snowfall, and icy conditions have forced many school districts in the region to delay, ...
After the snow storm that blew through the state over the weekend that brought 8-12 inches of snowfall around the state, parents around the state have kids home from school. But that doesn't ...
Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-based Randomized ...
The emergence of tools like ChatGPT complicates the ability of instructors to assess genuine learning, raising concerns about the future of this educational model. The COVID pandemic accelerated the ...
Purdue University has launched the second round of support services for instructors as they transition their course materials in alignment with the new digital accessibility standards issued by the ...
The bell rings at 10:00 a.m. A teacher begins explaining quadratic equations. Some students lean forward, pencils ready. Others stare at the clock. A few are still turning yesterday’s lesson over in ...
Rahul Kumar received funding from SSHRC in the past. Mohammed Estaiteyeh does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
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