A nationally representative EdWeek Research Center survey found that just 1 percent of teachers said their school or district was paying for their high-speed, wireless internet at home.

As the national conversation on reopening schools accelerates, experts say the best way to protect vulnerable teachers might be to not have them in school buildings at all.

The firing of a black staff member for repeating the n-word while telling a black student not to use it underscores how uneasy many districts, schools, and educators are with handling the use of racist language in any context.

A push to get dyslexia defined in state law and persuade educators to use the term has translated to new laws in 40 states.

Lawmakers are considering legislation that would put limits on the state’s charter school sector and give districts broader discretion to deny applications.

The U.S. Supreme Court will arguments in Espinoza v. Montana Department of Revenue, a case that's been closely watched by both friends and opponent of private school vouchers and tax-credit scholarship programs.

The president said he'd "like to see schools open" where possible, although most states have closed them for the academic year, and said children seem to be doing relatively well during the coronavirus pandemic.

This paper sets out three challenges to the creation of a future for Indo-Pacific states and peoples consistent with the visions of a ‘free and open Indo-Pacific’ (FOIP) expressed by Japan, India, the US and Australia, and now by the ASEAN outlook on the Indo-Pacific. It also describes a path for states to operate in an environment of coercive Chinese state power that seeks to influence how states relate and how they operate within their domestic boundaries.

Families -- Fiction.

As teachers across the country grapple with the challenges that come with remote learning due to the coronavirus pandemic, an elementary school teacher on Maryland’s Eastern Shore faces the added challenge of a lack of internet access at home. 

The Indiana state teachers' union is pushing to protect student and staff safety during active-shooter trainings.

A suburban Indianapolis district is signing up teachers to drive school buses before and after their usual time in the classroom.

A $59 million investment in software developer Social Solutions aims to ease the flow of data among schools and social service providers.

London : S. Highley, 1848.

London : Smith, Elder, 1879.

Edinburgh : J. Dunn, 1826.

London : Longman, Brown, Green, and Longmans, 1842.

Edinburgh : W.P. Nimmo, [1867]

[Edinburgh] : [publisher not identified], [1890]

London : Swan Sonnenschein, 1898.

Idaho lawmakers were upset to learn that nearly $17 million dedicated to giving teachers in leadership positions and assistants bonuses hasn't been distributed.

A home schooling advocacy group was concerned when a state legislator proposed requiring home schoolers to follow the Common Core State Standards.

The Mississippi education department will be the first to operate a teacher residency program, which aims to increase retention and diversity in the profession.

Internet connectivity, recruiting staff, and finding partners to learn from are all big challenges for an ed-tech leader in a district off the coast of Alaska.

London (6 Pall Mall) : Messrs Moon, Boys & Graves ; Manchester : J.C. Grundy, July 2 1832.

London (Gt. Newport Street) : Published by John P. Thompson, Jan.y 1 1802.

[1856]

London (6, Pall Mall) : Published ... by Henry Graves, & Comp.y, May 10th, 1856.

[Spain?], An. 1817.

London (No. 90, Cheapside, & 8, Pall Mall) : Published ... by Hurst, Robinson & Co., March 1st. 1824.

London (No. 90, Cheapside, & 8, Pall Mall) : Published ... by Hurst, Robinson & Co., March 1st. 1824.

[London], [1824]

[19--?]

A federal investigation of Chicago's failures to respond to sexual violence in schools raises troubling questions for school districts nationwide.

A few nights after one of their players was injured by a dirty hit, the Johnstown Jets plotted to exact some revenge on Buffalo's Greg Neeld. An all-out brawl broke out during warmups and the North American Hockey League game was postponed, much to the dismay of ownership and presumably the fans at a sold-out War Memorial Arena. It just so happened that director George Roy Hill was in the arena that night, cameras rolling.

In a civics lesson come to life, this Missouri high school government teacher is running for state legislature.

The state's Republican governor is in a pitched battle with the state's educators over the process he used to fire Missouri's commissioner of education.

Since the day she stepped on campus, Satou Sabally's game has turned heads — and for good reason. She's had many memorable moments in a Duck uniform, including a standout performance against the USA Women in Nov. 2019, a monster game against Cal in Jan. 2020 and a career performance in Pullman in Jan. 2019.

In many areas, practitioners need to analyze large data sets that challenge conventional single-machine computing. To scale up data analysis, distributed and parallel computing approaches are increasingly needed. Here we study a fundamental and highly important problem in this area: How to do ridge regression in a distributed computing environment? Ridge regression is an extremely popular method for supervised learning, and has several optimality properties, thus it is important to study. We study one-shot methods that construct weighted combinations of ridge regression estimators computed on each machine. By analyzing the mean squared error in a high-dimensional random-effects model where each predictor has a small effect, we discover several new phenomena. Infinite-worker limit: The distributed estimator works well for very large numbers of machines, a phenomenon we call 'infinite-worker limit'. Optimal weights: The optimal weights for combining local estimators sum to more than unity, due to the downward bias of ridge. Thus, all averaging methods are suboptimal. We also propose a new Weighted ONe-shot DistributEd Ridge regression algorithm (WONDER). We test WONDER in simulation studies and using the Million Song Dataset as an example. There it can save at least 100x in computation time, while nearly preserving test accuracy.

The horseshoe prior is frequently employed in Bayesian analysis of high-dimensional models, and has been shown to achieve minimax optimal risk properties when the truth is sparse. While optimization-based algorithms for the extremely popular Lasso and elastic net procedures can scale to dimension in the hundreds of thousands, algorithms for the horseshoe that use Markov chain Monte Carlo (MCMC) for computation are limited to problems an order of magnitude smaller. This is due to high computational cost per step and growth of the variance of time-averaging estimators as a function of dimension. We propose two new MCMC algorithms for computation in these models that have significantly improved performance compared to existing alternatives. One of the algorithms also approximates an expensive matrix product to give orders of magnitude speedup in high-dimensional applications. We prove guarantees for the accuracy of the approximate algorithm, and show that gradually decreasing the approximation error as the chain extends results in an exact algorithm. The scalability of the algorithm is illustrated in simulations with problem size as large as $N=5,000$ observations and $p=50,000$ predictors, and an application to a genome-wide association study with $N=2,267$ and $p=98,385$. The empirical results also show that the new algorithm yields estimates with lower mean squared error, intervals with better coverage, and elucidates features of the posterior that were often missed by previous algorithms in high dimensions, including bimodality of posterior marginals indicating uncertainty about which covariates belong in the model.