Learning Path Recommendation is the heart of adaptive learning, the educational paradigm of an Interactive Educational System (IES) providing a personalized learning experience based on the student's history of learning activities. In typical existing IESs, the student must fully consume a recommended learning item to be provided a new recommendation. This workflow comes with several limitations. For example, there is no opportunity for the student to give feedback on the choice of learning items made by the IES. Furthermore, the mechanism by which the choice is made is opaque to the student, limiting the student's ability to track their learning. To this end, we introduce Rocket, a Tinder-like User Interface for a general class of IESs. Rocket provides a visual representation of Artificial Intelligence (AI)-extracted features of learning materials, allowing the student to quickly decide whether the material meets their needs. The student can choose between engaging with the material and receiving a new recommendation by swiping or tapping. Rocket offers the following potential improvements for IES User Interfaces: First, Rocket enhances the explainability of IES recommendations by showing students a visual summary of the meaningful AI-extracted features used in the decision-making process. Second, Rocket enables self-personalization of the learning experience by leveraging the students' knowledge of their own abilities and needs. Finally, Rocket provides students with fine-grained information on their learning path, giving them an avenue to assess their own skills and track their learning progress. We present the source code of Rocket, in which we emphasize the independence and extensibility of each component, and make it publicly available for all purposes.

Our study presents a new tool, Reputation Agent, to promote fairer reviews from requesters (employers or customers) on gig markets. Unfair reviews, created when requesters consider factors outside of a worker's control, are known to plague gig workers and can result in lost job opportunities and even termination from the marketplace. Our tool leverages machine learning to implement an intelligent interface that: (1) uses deep learning to automatically detect when an individual has included unfair factors into her review (factors outside the worker's control per the policies of the market); and (2) prompts the individual to reconsider her review if she has incorporated unfair factors. To study the effectiveness of Reputation Agent, we conducted a controlled experiment over different gig markets. Our experiment illustrates that across markets, Reputation Agent, in contrast with traditional approaches, motivates requesters to review gig workers' performance more fairly. We discuss how tools that bring more transparency to employers about the policies of a gig market can help build empathy thus resulting in reasoned discussions around potential injustices towards workers generated by these interfaces. Our vision is that with tools that promote truth and transparency we can bring fairer treatment to gig workers.

We investigate how automated, data-driven, personalized feedback in a large-scale intelligent tutoring system (ITS) improves student learning outcomes. We propose a machine learning approach to generate personalized feedback, which takes individual needs of students into account. We utilize state-of-the-art machine learning and natural language processing techniques to provide the students with personalized hints, Wikipedia-based explanations, and mathematical hints. Our model is used in Korbit, a large-scale dialogue-based ITS with thousands of students launched in 2019, and we demonstrate that the personalized feedback leads to considerable improvement in student learning outcomes and in the subjective evaluation of the feedback.

In 2033, the Gordita Crunch is sold virtually by fast food goliath Nokia Taco Bell. Mega-airline corporation Frontier Spirit United offers 30-minute flights from New York to Los Angeles with the option of Economy Minus. The most popular reality show is Baby Botox--which is exactly what it sounds like. Vape lung is a chronic disease. Far East Movement's 2010 chart-topper "Like a G6" is considered classical dance coursework in schools.

Details Hello! all Greetings from *GDG Hildesheim* We're sure most of you are interested in learning new technologies and tools. That's why we're excited to participate in the first Community Speedrun Challenge that Google is organizing for developer communities in Europe. And as part of the GDG-Hildesheim, you're among the first to know about this!! The Community Speedrun Challenge is a training program that will run in May where you'll have the opportunity to join four Speedruns and get hands-on experience with Machine Learning on Google Cloud and Tensorflow, and take your first steps with tools like BigQuery, Cloud Speech API, and Cloud ML Engine. Every Speedrun is open for a week to give you the ability to finish all labs in your best time, scoring more points and winning prizes.

ABU DHABI: Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the world's first graduate-level, research-based artificial intelligence (AI) university, has announced that the start of its first academic year has been rescheduled for January 2021. The decision was made in light of safety measures taken on campus due to the disruption caused by the COVID-19 pandemic, during the Board of Trustees meeting that took place over video conference earlier today. Chaired by His Excellency Dr. Sultan Ahmed Al Jaber, Chairman of the Board of Trustees, UAE Minister of State, the meeting was attended by MBZUAI Interim President, Professor Sir Michael Brady, professor of Oncological Imaging at the University of Oxford, UK; Professor Anil K. Jain, a University Distinguished Professor at Michigan State University, USA; Dr. Kai-Fu Lee, a technology executive and venture capitalist based in Beijing, China; Professor Daniela Rus, Director of Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), USA, and Peng Xiao, CEO of Group 42. During the meeting, the Board of Trustees also discussed the status of the nearly completed Masdar City campus and facilities, student onboarding and engagement plan, faculty and leadership appointments, and potential industry partnerships. Regarding the decision to postpone the first intake of students, His Excellency Dr Sultan Ahmed Al Jaber said: "The University is eager and ready to welcome our first cohort of students from around the world, however, given the ongoing global coronavirus pandemic, the decision to start the academic year in 2021 been made in the best interest of the prospective students, faculty, and staff, whose health and wellbeing is our top priority. We want our students to be able to focus on their studies and research, and take full advantage of the world-class education that they will receive at the MBZUAI campus."

Governments and institutions are facing the new demands of a rapidly changing society. Among many significant trends, some facts should be considered (Silverstein, 2006): (1) the increment of number and type of students; and (2) the limitations imposed by educational costs and course schedules. About the former, the need of a continuous update of knowledge and competences in an evolving work environment requires life-long learning solutions. An increasing number of young adults are returning to classrooms in order to finish their graduate degrees or attend postgraduate programs to achieve an specialization on a certain domain. About the later, due to the emergence of new types of students, budget constraints and schedule conflicts appear.

After decades spent discussing how and what to teach in the classrooms, the focus is now turning more to implementation, experts said at the World Innovation Summit for Education (WISE) conference in Doha, hosted by the Qatar Foundation on 19-21 November. Ministers and education experts discussed in Doha how to reap the benefits of the digital revolution as new challenges arise from teaching students across the world in the era of artificial intelligence. OECD countries spend on average 4.5% of their GDP on education. At the same time, education itself is transforming to adapt to a changing planet. The constant retooling of labour skills will be a central element of a European Commission paper on the future of the EU social pillar, to be published on 26 April, EURACTIV.com In an increasingly uncertain and unstable world, citizens are expected to become life-long learners in order to remain relevant for a fast-changing labour market that will be disrupted by machines.

Alice envisions the future is a unique program run by Microsoft in partnership with Avanade and Accenture which allows high school girls around the world to develop their understanding of Artificial Intelligence (AI) – the world's leading technology in terms of its potential for building a better future. Named after Alice's inspirational and curiosity-driven adventures in Wonderland, participants are treated to workshops led by industry experts, in addition to receiving help from Microsoft, Avanade and Accenture mentors to develop their own projects, before pitching them to a panel of judges. "When we look at the gender gap among AI workers, it makes me think that we really need to do something," says Ana Maria Stanciuc, EMEA Education Marketing Lead at Microsoft. "Events like this help teach girls to trust their imagination, to believe in their ideas, and to show that there are no limits. "Having different mentors helping them with design-lead thinking, technical and business skills is an incredible resource.

At present, recognition of the Bangla handwriting compound character has been an essential issue for many years. In recent years there have been application-based researches in machine learning, and deep learning, which is gained interest, and most notably is handwriting recognition because it has a tremendous application such as Bangla OCR. MatrriVasha, the project which can recognize Bangla, handwritten several compound characters. Currently, compound character recognition is an important topic due to its variant application, and helps to create old forms, and information digitization with reliability. But unfortunately, there is a lack of a comprehensive dataset that can categorize all types of Bangla compound characters. MatrriVasha is an attempt to align compound character, and it's challenging because each person has a unique style of writing shapes. After all, MatrriVasha has proposed a dataset that intends to recognize Bangla 120(one hundred twenty) compound characters that consist of 2552(two thousand five hundred fifty-two) isolated handwritten characters written unique writers which were collected from within Bangladesh. This dataset faced problems in terms of the district, age, and gender-based written related research because the samples were collected that includes a verity of the district, age group, and the equal number of males, and females. As of now, our proposed dataset is so far the most extensive dataset for Bangla compound characters. It is intended to frame the acknowledgment technique for handwritten Bangla compound character. In the future, this dataset will be made publicly available to help to widen the research.