Every few years, an emerging technology shows up at the doorstep of schools and universities promising to transform education. Technologies and apps that include or are powered by generative artificial intelligence, also known as GenAI. These technologies are sold on the potential they hold for education. For example, Khan Academy's founder opened his 2023 Ted Talk by arguing that "we're at the cusp of using AI for probably the biggest positive transformation that education has ever seen." As optimistic as these visions of the future may be, the realities of educational technology over the past few decades have not lived up to their promises.

Controversial AI tool ChatGPT has already been banned in schools across the world over fears it encourages cheating and laziness. But the International Baccalaureate (IB), which offers an alternative to A-levels, is bucking this trend by permitting the use of ChatGPT to write essays. Students undertaking IB programmes will be able to quote passages generated by the chatbot - as long as they do not try to pass it off as their own words. Created by San Francisco-based company OpenAI, the tool has been trained on a massive amount of text so it can generate human-like responses to questions. A university student has already used ChatGPT to write a 2,000-word essay that got a 2:2 grade, although the lecturer called the language used'fishy'.

Controversial AI tool ChatGPT has already been banned in schools across the world over fears it encourages cheating and laziness. But the International Baccalaureate (IB), which offers an alternative to A-levels, is bucking this trend by permitting the use of ChatGPT to write essays. Students undertaking IB programmes will be able to quote passages generated by the chatbot - as long as they do not try to pass it off as their own words. Created by San Francisco-based company OpenAI, the tool has been trained on a massive amount of text so it can generate human-like responses to questions. A university student has already used ChatGPT to write a 2,000-word essay that got a 2:2 grade, although the lecturer called the language used'fishy'.

Currently, more and more schools and universities are switching to blended or online education. Due to the spread of the coronavirus, this trend has become even more popular. Meanwhile, it is barely possible to know how students study at home and whether they cheat on online exams. Subsequently, the matter of control is quite critical for schools and universities. AI proctoring systems can solve this issue perfectly.

Founder and CEO at Fusemachines, Adjunct Associate Professor at Columbia University -- on a mission to democratize Artificial Intelligence. Artificial Intelligence (AI) is a complex subject, inspiring awe in some and concern from others. This complexity makes the job of instituting AI training programs in underserved areas, where knowledge of the subject is usually far and few between, a hefty undertaking. In my last two articles, I covered the need to bring AI training to underserved America and outlined the types of training that would be beneficial. In this article, I will share a step-by-step approach for establishing training in underserved markets by breaking down the audience group into education, business and government.

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."

Covid-19 has accelerated the transition to online teaching, raising questions about the role of robots in classrooms.

It has already been established that digital traces can be used to predict various human attributes. In most cases, however, predictive models rely on features that are specific to a particular source of digital trace data. In contrast, short texts written by users $-$ tweets, posts, or comments $-$ are ubiquitous across multiple platforms. In this paper, we explore the predictive power of short texts with respect to the academic performance of their authors. We use data from a representative panel of Russian students that includes information about their educational outcomes and activity on a popular networking site, VK. We build a model to predict academic performance from users' posts on VK and then apply it to a different context. In particular, we show that the model could reproduce rankings of schools and universities from the posts of their students on social media. We also find that the same model could predict academic performance from tweets as well as from VK posts. The generalizability of a model trained on a relatively small data set could be explained by the use of continuous word representations trained on a much larger corpus of social media posts. This also allows for greater interpretability of model predictions.

User-generated content, bring your own device and big data were some of the fastest growing EdTech topics of 2016. Here are eight ideas and expert predictions for the year ahead. As well as placing a greater emphasis on STEM education, many schools and universities are working to cultivate skills like creativity and empathy, which are thought to be harder for machines to replicate. EdTechX Global co-founder, Benjamin Vedrenne-Cloquet, says'I think we will see future skills proofing in both primary and secondary schools.' 2. More Learning Outside the Classroom 2016 saw flipped learning become mainstream in many schools and there now exist many opportunities for digitally assisted learning that can happen from any location. Technology at school is now better linked with technology at home and many predict that 2017 will see further disintegration of the classroom walls.

By 2020, more than five million jobs are expected to be lost to robots and artificial intelligence. And in the next two decades, graduates will be going into jobs that don't yet exist. Anticipating this future, businesses and employers are overhauling their recruitment strategies. Job hopping has replaced the one job, one-employer career, and hybrid jobs are on the rise. Employers want recruits who have strong technical and soft skills such as empathy and flexibility.