Motor skills, especially fine motor skills like handwriting, play an essential role in academic pursuits and everyday life. Traditional methods to teach these skills, although effective, can be time-consuming and inconsistent. With the rise of advanced technologies like robotics and artificial intelligence, there is increasing interest in automating such teaching processes using these technologies, via human-robot and human-computer interactions. In this study, we examine the potential of a virtual AI teacher in emulating the techniques of human educators for motor skill acquisition. We introduce an AI teacher model that captures the distinct characteristics of human instructors. Using a Reinforcement Learning environment tailored to mimic teacher-learner interactions, we tested our AI model against four guiding hypotheses, emphasizing improved learner performance, enhanced rate of skill acquisition, and reduced variability in learning outcomes. Our findings, validated on synthetic learners, revealed significant improvements across all tested hypotheses. Notably, our model showcased robustness across different learners and settings and demonstrated adaptability to handwriting. This research underscores the potential of integrating Reinforcement Learning and Imitation Learning models with robotics in revolutionizing the teaching of critical motor skills.

Ivy League students at one of America's most expensive colleges will be taught by AI next year. The teachers of Harvard University's popular intro-level coding course are'experimenting' with a ChatGPT-powered teaching assistant. Professor David Malan, who runs the course, justified plans for the introduction of the'CS50 bot' by noting that the course has often deployed new software in its syllabus. A ChatGPT AI teacher, he said, was simply an'evolution of that tradition', he said in a statement. 'Our own hope is that, through AI, we can eventually approximate a 1:1 teacher:student ratio for every student in CS50... providing them with software-based tools that, 24/7, can support their learning at a pace and in a style that works best for them individually.'

We propose an AI-based pilot trainer to help students learn how to fly aircraft. First, an AI agent uses behavioral cloning to learn flying maneuvers from qualified flight instructors. Later, the system uses the agent's decisions to detect errors made by students and provide feedback to help students correct their errors. This paper presents an instantiation of the pilot trainer. We focus on teaching straight and level flying maneuvers by automatically providing formative feedback to the human student.

ProJo can also help students work together and assess their growth and weaknesses, in both robot form and on a computer screen. It is one of a variety of teaching aids in development, boosted by artificial intelligence, that scientists and educators say could support tomorrow's classrooms. Typically, AI education products serve one function, such as assessing a student's literacy, tailoring tools to individual learners or performing administrative functions such as grading. Next-generation tools may do all of this in a single platform, serving at times as a peer learning partner, a group facilitator and a monitor for educators--a sort of superpowered teacher's assistant personalized for each student. A look at how innovation and technology are transforming the way we live, work and play.

The Future of Everything covers the innovation and technology transforming the way we live, work and play, with monthly issues on health, money, cities and more. This month is Education & Learning, online starting Aug. 6 and in the paper on Aug. 13. Not all robots are good at math. Take ProJo, a program that researchers are testing to help students of all ages spot their math and science mistakes, embodied in a small, humanoid robot. Instead of standing in for an instructor, ProJo acts as a peer, inviting the students themselves to help it solve problems. "Let's take turns," it might say.

If there is a Holy Grail to business success in 2021, it most certainly has something to do with the power of data. And if business intelligence wasn't already the answer to C-suite prayers for insight and vision derived from massive amounts of data, then artificial intelligence would be. Today, AI is widely seen as the enabler that BI has always needed to take it to next-level business value. But incorporating AI into your existing BI environment is not so simple. And it can be precarious, too: AI can dramatically amplify any almost unnoticeable issue into a significantly larger -- and negative -- impact onto downstream processes.

The increase in online education has allowed a new type of teacher to emerge -- an artificial one. But just how accepting students are of an artificial instructor remains to be seen. That's why researchers at the University of Central Florida's Nicholson School of Communication and Media are working to examine student perceptions of artificial intelligence-based teachers. Some of their findings, published recently in the International Journal of Human-Computer Interaction, indicate that for students to accept an AI teaching assistant, it needs to be effective and easy to talk to. The hope is that by understanding how students relate to AI-teachers, engineers and computer scientists can design them to easily integrate into the education experience, says Jihyun Kim, an associate professor in the school and lead author of the study.

As per the Data Science Skills Study 2020, more than 10% of the machine learning and data science practitioners learn from various online sources, such as massive online open courses or MOOCs, online certifications and courses, online videos hosted on such platforms as well as LinkedIn and YouTube, among others. On the other hand, traditional formats like university certifications and courses are at the lower end of the spectrum of preference, which is 5.7%. The one main reason behind this is the dearth of AI teachers among institutions and academia. To get an industry perspective on this, Analytics India Magazine caught up with a few experts in this field who explained the reasons behind the void and helped in understanding how these issues can be addressed. The use of artificial intelligence-based solutions has been proliferating in everyday life, starting from the shopping experience to financial transactions.

In the classrooms of the future, students will no longer have to sit down for exams. Instead, they will be busy working together to solve the problems of the world. This is how Dr Abdulla Al Karam, director-general of the Knowledge and Human Development Authority (KHDA), sees the future of learning in Dubai, as he explained during a session at Gitex Technology Week on Wednesday, October 9. "In the future, classrooms will be replaced by open, collaborative spaces that bring students of different ages and abilities together. This will encourage students to work together on solving real-world problems from a very young age, allowing schools to completely move away from tests and exams," said Dr Al Karam. He explained that there will also be more'teachers' powered by artificial intelligence (AI). "Automation and artificial intelligence are changing every aspect of our life and, over the coming years, AI teachers will transform the classrooms that we see today."

We can build robot teachers, or even robot teaching assistants. And if the answer is yes, what's the right mix of human and machine in the classroom? To get a fresh perspective on that question, this episode we take you to China, where a couple of us from EdSurge recently traveled for a reporting trip. One of the events we attended was a two-day conference about artificial intelligence in education organized by a company called Squirrel AI. It's vision felt unusually utopian.