Learning Management
How to Get Certified as a Data Scientist - KDnuggets
The world of data science is still new as compared to other software-related fields, and it doesn't have a gold standard on what skills you need to acquire to be called a professional data scientist. This is where DataCamp certification comes in to access your knowledge and skills. Just like in the world of computer networks, the Cisco certification is a gold standard. Similarly, DataCamp is accessing an individual's skills by conducting various challenges. During the Certificate Challenge, I was a professional data scientist working with various companies on various projects.
Agent Smith: Teaching Question Answering to Jill Watson
Goel, Ashok, Sikka, Harshvardhan, Gregori, Eric
Building AI agents can be costly. Consider a question answering agent such as Jill Watson that automatically answers students' questions on the discussion forums of online classes based on their syllabi and other course materials. Training a Jill on the syllabus of a new online class can take a hundred hours or more. Machine teaching - interactive teaching of an AI agent using synthetic data sets - can reduce the training time because it combines the advantages of knowledge-based AI, machine learning using large data sets, and interactive human-in-loop training. We describe Agent Smith, an interactive machine teaching agent that reduces the time taken to train a Jill for a new online class by an order of magnitude.
Digital Learning During Covid19: A Complete Analysis
Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. There is an imbalance in the education system during the Covid19 pandemic and most of the students don't even have access to educational tools and online learning platforms.
Will AI Destroy Education?
Artificial intelligence is everywhere these days. The National AI Initiative Act became law in the U.S. on Jan. 1, 2021, aiming "to accelerate AI research and application for the Nation's economic prosperity and national security." The U.S. National Science Foundation launched in 2020 several AI Research Institutes to push forward the frontiers of artificial intelligence. One of the themes of this research initiative is "AI-Augmented Learning." This quest to improve education via technology reminds me of "Profession;" a 1957 science-fiction story by Isaac Asimov.
Benefits of Incorporating Artificial Intelligence in E-Learning Aiiot Talk
World-renown organizations such as UNESCO, the EU, UNICEF, and other reputable entities can make long-distance formal education more possible. By integrating AI into eLearning platforms, the need for professional teachers is nullified and more students will be able to study effectively. Using AI to fill in for teachers would make the deployment of formal long-distance learning more rapid and efficient. This would make K-12 education in the African, South American, and Asian countries more accessible, viable, and worthwhile.
Digital Twinning Remote Laboratories for Online Practical Learning
Palmer, Claire, Roullier, Ben, Aamir, Muhammad, McQuade, Frank, Stella, Leonardo, Anjum, Ashiq
The COVID19 pandemic has demonstrated a need for remote learning and virtual learning applications such as virtual reality (VR) and tablet-based solutions. Creating complex learning scenarios by developers is highly time-consuming and can take over a year. It is also costly to employ teams of system analysts, developers and 3D artists. There is a requirement to provide a simple method to enable lecturers to create their own content for their laboratory tutorials. Research has been undertaken into developing generic models to enable the semi-automatic creation of a virtual learning tools for subjects that require practical interactions with the lab resources. In addition to the system for creating digital twins, a case study describing the creation of a virtual learning application for an electrical laboratory tutorial has been presented.
Is Coursera's IBM AI Engineering Professional Certificate Worth it? [Review]
Hello guys, if you want to become an AI Engineer in 2022 and looking for the best resources like online courses, books, and tutorials then you have come to the right place. Earlier, I have shared the best AI Courses for beginners and today, I am going to review one of the best AI courses and certifications from Coursera the AI Engineering Professional Certificate offered by IBM. This is a collection of courses that will teach you essential AI Concepts, tools, and processes and get you started with your AI career. Artificial intelligence nowadays is revolutionized almost every industry, from youtube recommendations detecting fraudulent transactions in banks and showing ads in your Facebook feed. Companies need qualified artificial intelligence engineers to stay competitive in this industry and make a better user experience.
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
Zhu, Renyu, Zhang, Dongxiang, Han, Chengcheng, Gao, Ming, Lu, Xuesong, Qian, Weining, Zhou, Aoying
In this paper, we study knowledge tracing in the domain of programming education and make two important contributions. First, we harvest and publish so far the most comprehensive dataset, namely BePKT, which covers various online behaviors in an OJ system, including programming text problems, knowledge annotations, user-submitted code and system-logged events. Second, we propose a new model PDKT to exploit the enriched context for accurate student behavior prediction. More specifically, we construct a bipartite graph for programming problem embedding, and design an improved pre-training model PLCodeBERT for code embedding, as well as a double-sequence RNN model with exponential decay attention for effective feature fusion. Experimental results on the new dataset BePKT show that our proposed model establishes state-of-the-art performance in programming knowledge tracing. In addition, we verify that our code embedding strategy based on PLCodeBERT is complementary to existing knowledge tracing models to further enhance their accuracy. As a side product, PLCodeBERT also results in better performance in other programming-related tasks such as code clone detection.