AI tools have become deeply embedded in how many students learn and complete schoolwork--and that usage is only poised to increase. On Tuesday, the American Federation of Teachers announced an AI training hub for educators, backed by 23 million from Microsoft, OpenAI, and Anthropic. The AFT is the second-largest teachers' union, representing 1.8 million teachers and educational staffers across the country. Their training hub will open in New York City this fall, featuring workshops that will educate teachers on how to use AI tools for tasks like generating lesson plans and quizzes, or writing emails to parents. Microsoft is providing 12.5 million for AI teacher training over the next five years.

Our work presents a novel angle for evaluating language models' (LMs) mathematical abilities, by investigating whether they can discern skills and concepts enabled by math content. We contribute two datasets: one consisting of 385 fine-grained descriptions of K-12 math skills and concepts, or standards, from Achieve the Core (ATC), and another of 9.9K problems labeled with these standards (MathFish). Working with experienced teachers, we find that LMs struggle to tag and verify standards linked to problems, and instead predict labels that are close to ground truth, but differ in subtle ways. We also show that LMs often generate problems that do not fully align with standards described in prompts. Finally, we categorize problems in GSM8k using math standards, allowing us to better understand why some problems are more difficult to solve for models than others.

Every week I get dozens of emails about ChatGPT and student education. As a professor of law focused on technology and a mom of three kids I am fielding messages from my kids' schools, from my workplace, and from colleagues near and far. They share a sense of panic about the AI chatbot that is able to almost magically--and instantly--generate schoolwork that students for centuries produced through laborious research and writing. How will students learn to research and write? How will we assess them?

By studying how machine learning powers artificial intelligence, students can further develop their own thought processes and tackle societal impacts. When thinking of classes on artificial intelligence, you probably imagine students on a computer writing code. But that's not where Joseph South, chief learning officer for the International Society for Technology in Education, says educators should start. Instead, teachers should help students learn how to approach decisions the way digital programming might -- by working through information, finding patterns and making a choice. "At ISTE, we feel strongly students need to learn how the digital world works," South said.

The challenges facing K-12 leaders as they start the new school year are enormous. For instance, the latest test results from the National Assessment of Educational Progress (NAEP) show that fourth graders' average reading skills have dropped by five points on a 500-point scale since the start of the pandemic--the biggest decline in more than 30 years. This isn't surprising news, as educators know their students are behind where they should be in terms of basic literacy skills. These skills underpin all other skills that students learn in school; if children can't read well, then their entire education is at risk. Making up this lost ground while continuing to ensure that students learn grade-level skills is hard enough.

For decades, science fiction authors, futurists, and movie makers alike have been predicting the amazing (and sometimes catastrophic) changes that will arise with the advent of widespread artificial intelligence. So far, AI hasn't made any such crazy waves, and in many ways has quietly become ubiquitous in numerous aspects of our daily lives. From the intelligent sensors that help us take perfect pictures, to the automatic parking features in cars, to the sometimes frustrating personal assistants in smartphones, artificial intelligence of one kind of another is all around us, all the time. While we've yet to create self-aware robots like those that pepper popular movies like 2001: A Space Odyssey and Star Wars, we have made smart and often significant use of AI technology in a wide range of applications that, while not as mind-blowing as androids, still change our day-to-day lives. One place where artificial intelligence is poised to make big changes (and in some cases already is) is in education.

Artificial intelligence is quickly becoming an indispensable tool in the classroom. From helping students with homework to collaborating with classmates on projects, teachers are finding uses for AI beyond just checking homework assignments and reading texts aloud. With AI, teachers can tailor lessons to students' interests, create engaging activities, and even create virtual lessons to help students learn in more challenging aspects of a subject. We explore the pros and cons of the AI-only classroom, explore the pros and cons of teaching students with AI, and explore the best ways to integrate AI into education. Artificial intelligence has been around since the mid-twentieth century when it was used to help with tasks like word searching and chess playing.

We live in exponential times, and merely having a digital strategy focused on continuous innovation is no longer enough to thrive in a constantly changing world. To transform an organisation and contribute to building a secure and rewarding networked society, collaboration among employees, customers, business units and even things is increasingly becoming key. Especially with the availability of new technologies such as artificial intelligence, organisations now, more than ever before, need to focus on bringing together the different stakeholders to co-create the future. Big data empowers customers and employees, the Internet of Things will create vast amounts of data and connects all devices, while artificial intelligence creates new human-machine interactions. In today's world, every organisation is a data organisation, and AI is required to make sense of it all.

My 21-year-old goddaughter, a second-year undergraduate, mentioned in passing that she watches video lectures offline at twice the normal speed. Struck by this, I asked some other students I know. Many now routinely accelerate their lectures when learning offline – often by 1.5 times, sometimes by more. Speed learning is not for everyone, but there are whole Reddit threads where students discuss how odd it will be to return to the lecture theatre. One contributor wrote: "Normal speed now sounds like drunk speed."

AI is changing the world of education in dozens of different ways, and among those ways is how students learn. Numerous obstacles hinder education from reaching its fullest potential: space, opportunity to pay someone to do your homework, access, etc., and this access crisis are no mystery. We all know that many of our classrooms are not working very well, let alone meeting all the standards for optimal learning environments. What is it that is stopping us from getting better results? We need to consider 5 major reasons why AI may be solving many of the problems of today's classrooms.