In the assignment problem, the goal is to assign indivisible items to agents who have ordinal preferences, efficiently and fairly, in a strategyproof manner. In practice, first-choice maximality, i.e., assigning a maximal number of agents their top items, is often identified as an important efficiency criterion and measure of agents' satisfaction. In this paper, we propose a natural and intuitive efficiency property, favoring-eagerness-for-remaining-items (FERI), which requires that each item is allocated to an agent who ranks it highest among remaining items, thereby implying first-choice maximality. Using FERI as a heuristic, we design mechanisms that satisfy ex-post or ex-ante variants of FERI together with combinations of other desirable properties of efficiency (Pareto-efficiency), fairness (strong equal treatment of equals and sd-weak-envy-freeness), and strategyproofness (sd-weak-strategyproofness). We also explore the limits of FERI mechanisms in providing stronger efficiency, fairness, or strategyproofness guarantees through impossibility results.

If you haven't come across #ChatGPT yet, then what rock have you been hiding under? Every social media platform, news outlet, magazine, blog, podcast and vlog is talking about it. The opportunities provided by #ChatGPT are huge. I talked about it here in this recent post: Will AI Make Us Lazy and Less Creative? I really enjoyed Sara Dietschy's recent vlog on the topic: As Geoff Barton explains in his recent TES article (thanks again Jill Berry for spotlighting that!) the tool is far from perfect.

School children are using free online artificial intelligence (AI) software to write essays and poetry for them, as well as university applications and even art projects, a teacher told Parliament. Lord Hampton, who is a working teacher in a north London state school, said an A-level product design student of his even generated degree-level designs in minutes using AI. He warned peers in the House of Lords that conversations around AI dominated by issues of plagiarism and intellectual property miss the fact that the curriculum needs to catch up with a changing world. The independent crossbench peer said: "There is a lot of anecdotal evidence, at the moment, that suggests that students are using AI for everything from essays and poetry to university applications and, rather more surprisingly, in the visual arts subjects. Just before Christmas, one of my product design A-level students came up to me and showed me some designs he'd done. "He'd taken a cardboard model, photographed it, put it into a free piece of software, put in three different parameters and had received, within minutes, 20 high-resolution designs, all original, that were degree level - they weren't A-level, they were degree level.

Faculty from the Stanford Accelerator for Learning are already thinking about the ways in which ChatGPT and other generative artificial intelligence will change and contribute to education in particular. Victor Lee, associate professor of education and the faculty lead for the accelerator initiative on generative AI in education, stresses the importance of educators in harnessing this technology. "If we want generative AI to meaningfully improve education," he says, "there is the obvious step we need to take of listening to the existing expertise in education -- from educators, parents, students, and scholars who have spent years studying education -- and using what we learn to find the most pertinent and valuable use cases for generative AI in a very complicated educational system." Over the next several weeks, the Stanford Accelerator for Learning will launch listening sessions and gatherings with educators to strategize a path for generative AI. Says Lee, "We need the use of this technology to be ethical, equitable, and accountable."

Note: 4.2/5 (134 notes) 38,700 students Welcome to experience "Advanced Artificial Intelligence in App Creation (2022)". In the field of mobile applications and development, Artificial Intelligence remains to be the catalyst. Artificial Intelligence was immensely expanded at the beginning of 2019, as per the studies and reports made in the year, and it brought nearly $59 billion in expenditure, and this amount was almost three times more than in previous years. Artificial Intelligence has been actively making improvements in mobile growth and technology ever since. The future is now, and emerging developments such as quantum, machine learning, or computing have been offered a new way by some of the previously advanced techniques such as silicon chips, mobile technology, and more.

AWS Skill Builder offers a blend of free and paid educational services. You can take advantage of more than 500 digital courses, learning plans, and official practice questions to prepare you for AWS certification at no cost--and even play the AWS Cloud Quest role-playing game that lets you focus on the Cloud Practitioner role. Subscribe to an Individual subscription for $29 per month or $299 per year and you get access to five additional AWS Cloud Quest roles, including Solutions Architect, Security Specialist, and Serverless Developer, more than 100 AWS Builder Labs, three AWS Certification Official Practice Question Sets, and more. The AWS Jam Journey, for example, lets you build your cloud skills by participating in a collection of interactive, real-world scenarios that cover topics like networking, security, databases, and machine learning.

Large language models like ChatGPT can generate coherent, believable text. How does this impact education and teaching? Strictly speaking, ChatGPT – artificial intelligence that generates texts in response to input prompts – is not even the beginning, but merely an intermediate stage in natural language processing (NLP), which has been observed for about ten years. ChatGPT also can't do anything fundamentally new that earlier tools couldn't. It differs only in the quality of the generated output, the focus on interactivity (input of questions and AI-generated answers) and, above all, in its captivating simplicity: a URL, a registration, a single simple empty text field and the infinity of text generation is open to you, which moreover (depending on the question, mostly) provides meaningful and well-founded results, since it accesses a corpus of about 1 trillion words (from 6 million Wikipedia articles and millions of books and websites). It should be noted that the training dataset consists almost exclusively of English-language texts, but AI-assisted translation also comes into play when communicating with users.

ChatGPT-3 is a state-of-the-art language model developed by OpenAI. It is based on the GPT-3 (Generative Pre-trained Transformer 3) architecture and has been trained on a massive amount of text data. It has the ability to generate human-like text, answer questions, and complete various language-based tasks. It can also perform well on a wide range of natural language processing (NLP) tasks, such as text summarisation, translation, and text-to-speech. Additionally, it has the ability to generate text based on given prompt, which is unique for its large size and capability.

We are a global learning platform that empowers educators to motivate learners through technology. We are used in diverse learning environments, including K-12, higher education, and corporate settings. Quizizz has organically grown to 70M monthly active users in 100 countries. The US is a significant market for us, where 80% of the schools trust us in their classrooms. We are a high-growth, profitable company backed by leading venture investors, including Tiger Global, GSV, Nexus Venture Partners, and others.

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