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.

A couch should be able to adapt as the needs of your living space evolve. That's exactly what a modular couch can do. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. A sofa is one of the biggest investments you can make in home decor, and the last thing you want is to make the wrong choice.

Rising seniors are the last class of students who remember high school before ChatGPT. But only just barely: OpenAI's chatbot was released months into their freshman year. Ever since then, writing essays hasn't required, well, writing. By the time these students graduate next spring, they will have completed almost four full years of AI high school. Gone already are the days when using AI to write an essay meant copying and pasting its response verbatim.

Alex Shieh is a student at Brown University. He is making waves and facing charges for asking the school's non-faculty employees what they do all day. A sophomore at Brown University is facing the school's wrath after he sent a DOGE-like email to non-faculty employees asking them what they do all day to try to figure out why the elite school's tuition has gotten so expensive. "The inspiration for this is the rising cost of tuition," Alex Shieh told Fox News Digital in an interview. "Next year, it's set to be 93,064 to go to Brown," Shieh said of the Ivy League university.

An Austin-based national charter school network offers K-12 students an AI-guided education. Operating under a model called "2 Hour Learning," a company of the same name advertises accelerated pace, app-based classes designed to teach students at "2X" the speed of a traditional classroom, whatever that means. Parents are promised that the system works for 80-90 percent of children, and that students consistently rank in the NWEA's 90th percentile. Apart from generating top-ranking national standardized test takers, however, one of 2 Hour Learning's other explicit goals is the removal of teachers from classrooms. "Imagine starting a school and declaring, 'We won't have any academic teachers.' We did exactly that!" reads a portion of the company's white paper.

I'm taking over TechScape from Alex Hern, and I'd like to introduce myself and my ideas for this newsletter. A bit about me: I started working at the Guardian the day Sam Bankman-Fried went on trial. My first holiday from my new job coincided with the shock firing of Sam Altman from OpenAI. The story I tell over and over again at parties is the one about how I was arrested and jailed while reporting a story on deadly testicular injections. We'll dissect the significance of the week's most substantial tech news, investigate odd niches, catch you up on the best of the Guardian's reporting and offer a helpful tip now and then.

Signal Processing (SP) and Machine Learning (ML) rely on good math and coding knowledge, in particular, linear algebra, probability, and complex numbers. A good grasp of these relies on scalar algebra learned in middle school. The ability to understand and use scalar algebra well, in turn, relies on a good foundation in basic arithmetic. Because of various systemic barriers, many students are not able to build a strong foundation in arithmetic in elementary school. This leads them to struggle with algebra and everything after that. Since math learning is cumulative, the gap between those without a strong early foundation and everyone else keeps increasing over the school years and becomes difficult to fill in college. In this article we discuss how SP faculty and graduate students can play an important role in starting, and participating in, university-run (or other) out-of-school math support programs to supplement students' learning. Two example programs run by the authors (CyMath at ISU and Ab7G at Purdue) are briefly described. The second goal of this article is to use our perspective as SP, and engineering, educators who have seen the long-term impact of elementary school math teaching policies, to provide some simple almost zero cost suggestions that elementary schools could adopt to improve math learning: (i) more math practice in school, (ii) send small amounts of homework (individual work is critical in math), and (iii) parent awareness (math resources, need for early math foundation, clear in-school test information and sharing of feedback from the tests). In summary, good early math support (in school and through out-of-school programs) can help make SP and ML more accessible.

As summer winds down and the familiar hum of school buses returns to our neighborhoods, millions of American students are gearing up for another year of learning. But as we stand on the cusp of an artificial intelligence (AI) revolution, this annual ritual is about to face a seismic shift--especially for students with intellectual and developmental disabilities (IDD). The decisions that school leaders make in the next academic year are likely to determine whether this technological wave creates more inclusive learning environments, or exacerbates existing disparities. A recent study from the Special Olympics Global Center for Inclusion in Education reveals a complex landscape of attitudes towards AI in education and a fear of leaving students with IDD behind. The study found the majority of educators (64%) and parents (77%) of students with IDD view AI as a potentially powerful mechanism to promote more inclusive learning.

Recommender systems are widely used to help people find items that are tailored to their interests. These interests are often influenced by social networks, making it important to use social network information effectively in recommender systems. This is especially true for demographic groups with interests that differ from the majority. This paper introduces STUDY, a Socially-aware Temporally caUsal Decoder recommender sYstem. STUDY introduces a new socially-aware recommender system architecture that is significantly more efficient to learn and train than existing methods. STUDY performs joint inference over socially connected groups in a single forward pass of a modified transformer decoder network. We demonstrate the benefits of STUDY in the recommendation of books for students who are dyslexic, or struggling readers. Dyslexic students often have difficulty engaging with reading material, making it critical to recommend books that are tailored to their interests. We worked with our non-profit partner Learning Ally to evaluate STUDY on a dataset of struggling readers. STUDY was able to generate recommendations that more accurately predicted student engagement, when compared with existing methods.

The big thing this year seems to be the same one that defined the end of last year: ChatGPT and other large language models. Last winter and spring brought so many headlines about AI in the classroom, with some panicked schools going as far as to ban ChatGPT altogether. My colleague Will Douglas Heaven wrote that it wasn't time to panic: generative AI, he argued, is going to change education but not destroy it. Now, with the summer months having offered a bit of time for reflection, some schools seem to be reconsidering their approach. For a perspective on how higher education institutions are now approaching the technology in the classroom, I spoke with Jenny Frederick.