A drone attack on the town of Kalogi, in Sudan's South Kordofan region, is said to have hit a kindergarten and killed at least 50 people, including 33 children. The Rapid Support Forces (RSF), the paramilitary group battling the army in Sudan's civil war, was accused of Thursday's attack by a medical organisation, the Sudan Doctors' Network, and the army. There was no immediate comment from the RSF. The RSF in turn accused the army of hitting a market on Friday in a drone attack in the Darfur region, on a fuel depot at the Adre border crossing with Chad. Sudan has been ravaged by war since April 2023 when a power struggle broke out between the RSF and the army, who were formerly allies .

The many ways we've tried to identify gifted 4-year-olds, and how they've failed. When I was a kindergartner in the 1980s, the "gifted" programming for my class could be found inside of a chest. I don't know what toys and learning materials lived there, since I wasn't one of the handful of presumably more academically advanced kiddos that my kindergarten teacher invited to open the chest. My distinct impression at the time was that my teacher didn't think I was worthy of the enrichment because I frequently spilled my chocolate milk at lunch and I had also once forgotten to hang a sheet of paper on the class easel--instead painting an elaborate and detailed picture on the stand itself. The withering look on my teacher's face after seeing the easel assured me that gifted I was not.

In Russia's'blitz' of Ukraine, the question of appeasement is back Following another week of intensive and lethal Russian bombardment of Ukraine's cities, a composite image has been doing the rounds on Ukrainian social media. Underneath an old, black-and-white photo of Londoners queuing at a fruit and vegetable stall surrounded by the bombed-out rubble of the Blitz, a second image - this time in colour - creates a striking juxtaposition. Taken on Saturday, it shows shoppers thronging to similar stalls in a northern suburb of the Ukrainian capital, Kyiv, while a column of black smoke rises ominously in the background. Bombs can't stop markets, reads the caption linking the two images. The night before, as the city's sleep was interrupted once again by the now all-too-familiar booms of missile and drone strikes, two people were killed and nine others injured.

'Heroes of Kharkiv': How 48 children were saved from kindergarten hit by Russian drone Although moving forward, Oleksandr Volobuev's body is angled slightly away from the camera, as if bracing against the deadly air still swirling with falling debris and smoke. His face in careful concentration, the Major-General from Ukraine's Civil Protection Service clings tightly to a precious bundle, wrapped for protection in his coat - and out of which two small pink shoes protrude. It is a striking image of a dramatic rescue from a nursery school in the eastern city of Kharkiv, following a devastating, direct hit by a Russian drone. Unsurprisingly it has gone viral, capturing both the Ukrainian and the wider global public's imagination. With 48 children trapped in a shelter in the burning building, it was not the only act of bravery that day, not by a long way.

Abstract--We address a novel staff allocation problem that arises in the organization of collaborators among multiple school sites and educational levels. The problem emerges from a real case study in a public school in Calabria, Italy, where staff members must be distributed across kindergartens, primary, and secondary schools under constraints of availability, competencies, and fairness. T o tackle this problem, we develop an optimization model and investigate a solution approach based on quantum annealing. Our computational experiments on real-world data show that quantum annealing is capable of producing balanced assignments in short runtimes. These results provide evidence of the practical applicability of quantum optimization methods in educational scheduling and, more broadly, in complex resource allocation tasks. In recent years, the Italian school system has experienced a significant increase in the complexity of its organizational processes. Today, schools operate in a highly regulated environment, characterized by increasingly stringent legal constraints, often deriving from both national laws and regional directives, as well as by a constant focus on cost efficiency and the quality of services provided.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Vanessa Silver, who tutors young children with dyslexia, works with Liina Yerro, 9, in Granada Hills. This is read by an automated voice. Please report any issues or inconsistencies here . California to begin universal screening of kindergarten through second-grade students for reading difficulties, including dyslexia.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Students arrive for the first day of school at 24th Street Elementary School. This is read by an automated voice. Please report any issues or inconsistencies here . Kindergartners have California's highest chronic absenteeism rates, with 26% missing at least 10% of school days in 2023-24.

Hate speech targeting children on social media is a serious and growing problem, yet current NLP systems struggle to detect it effectively. This gap exists mainly because existing datasets focus on adults, lack age specific labels, miss nuanced linguistic cues, and are often too small for robust modeling. To address this, we introduce ChildGuard, the first large scale English dataset dedicated to hate speech aimed at children. It contains 351,877 annotated examples from X (formerly Twitter), Reddit, and YouTube, labeled by three age groups: younger children (under 11), pre teens (11--12), and teens (13--17). The dataset is split into two subsets for fine grained analysis: a contextual subset (157K) focusing on discourse level features, and a lexical subset (194K) emphasizing word-level sentiment and vocabulary. Benchmarking state of the art hate speech models on ChildGuard reveals notable drops in performance, highlighting the challenges of detecting child directed hate speech.

Over the past few decades, computing has emerged as a transformative discipline, significantly reshaping the world. Virtually all knowledge areas now use computing to enhance their applicability, and even everyday activities often require some computing knowledge. Recent advancements in artificial intelligence (AI) have highlighted the profound impact computing has on our lives to everyone. Therefore, it is desirable that students of all levels have age-appropriate familiarity with computing.5,6 Several international efforts, including frameworks and reports, have emerged to address the development of early computational skills.

Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a significant challenge, with its effects extending beyond the individual. While previous research has employed machine learning for dropout classification, these studies often suffer from a short-term focus, relying on data collected only a few years into the study period. This study expanded the modeling horizon by utilizing a 13-year longitudinal dataset, encompassing data from kindergarten to Grade 9. Our methodology incorporated a comprehensive range of parameters, including students' academic and cognitive skills, motivation, behavior, well-being, and officially recorded dropout data. The machine learning models developed in this study demonstrated notable classification ability, achieving a mean area under the curve (AUC) of 0.61 with data up to Grade 6 and an improved AUC of 0.65 with data up to Grade 9. Further data collection and independent correlational and causal analyses are crucial. In future iterations, such models may have the potential to proactively support educators' processes and existing protocols for identifying at-risk students, thereby potentially aiding in the reinvention of student retention and success strategies and ultimately contributing to improved educational outcomes.