Collaborating Authors

K-12 Education

Transfer Learning : the time savior


The whole backdrop of Artificial intelligence and deep learning is to imitate the human brain, and one of the most notable feature of our brain is it's inherent ability to transfer knowledge across tasks. Which in simple terms means using what you have learnt in kindergarten, adding 2 numbers, to solving matrix addition in high school mathematics. The field of machine learning also makes use of such a concept where a well trained model trained with lots and lots of data can add to the accuracy of our model. Here is my code for the transfer learning project I have implemented. I have made use of open cv to capture real time images of the face and use them as training and test datasets.

What is the Future of Artificial Intelligence in K-12 Education?


Among the other questions being asked as a result of the current pandemic is, "What will the rise of artificial intelligence mean for K-12 education?" It would seem safe to assume that the rush to online learning and the adoption of new technologies will inevitably lead educators to embrace tools powered by artificial intelligence. But according to Robert F. Murphy, that more optimistic vision for AI will probably be tempered for now by budget shortfalls that "may seriously delay" school districts from making those types of investments anytime soon. Murphy is an independent education consultant with over two decades of research experience, including as a senior policy researcher for the international think tank RAND Corporation and as the director for evaluation research at SRI International, a scientific research center. In a paper authored last year for RAND, Murphy addressed the more fundamental issues of AI that need to be considered, regarding its further adoption.

Getting Girls Into the Artificial Intelligence Pipeline


The term artificial intelligence (AI) was coined 64 years ago at a scholarly conference. The AI field hasn't remained the theoretical province of computer scientists and mathematicians; it now is a pervasive part of everyday life. With a technology this powerful, it is critical to include the perspectives of all women, including those from underrepresented communities. AI applications -- based on algorithms -- are found in robotics, machine learning, natural language processing, machine vision, speech recognition and more. These applications are found in homes, vehicles and myriad other aspects of daily life.

How 'Hamilton' and other movies can spark a learning revolution

National Geographic

Mayra Leiva of Reseda, California, knew her eight-year-old son was a little interested in history. But she was surprised when all at once he became a walking encyclopedia, spouting dates and pretending every tire swing was a time machine. "It happened after he saw Night at the Museum," she says. I've had to do a lot of Googling to keep up!" Not many children will tell you that their favorite school subject is history. Memorizing dates and learning long-ago facts that don't seem relevant isn't exactly high on their fun list. Perhaps that's why pop culture--movies, music, television, and even video games and comic books--can be such useful teaching tools. "Teaching through pop culture helps students relate history to their own background and experiences," says Gail Hudson, a fifth-grade teacher and 2020 Nevada Teacher of the Year. "It's tying into something that's already caught their interest." Take the movie version of the Broadway show Hamilton, which releases on Disney July 3.

Artificial intelligence in early learning: weird or warranted?

CMU School of Computer Science

Dr. David Touretzky has set out to change that. He's the founder and chair of the AI4K12 initiative, aimed at developing national guidelines for A.I. education and facilitating its instruction to students in kindergarten through 12th grade. "I looked at the national guidelines and there were just two sentences about A.I. and they were for 11th and 12th graders. I realized this was a problem," he said. Touretzky is also a Research Professor at Carnegie Mellon University and lead author of the five core concepts of A.I. education.

How to Write Science Questions that Are Easy for People and Hard for Computers

AI Magazine

As a challenge problem for AI systems, I propose the use of hand-constructed multiple-choice tests, with problems that are easy for people but hard for computers. Specifically, I discuss techniques for constructing such problems at the level of a fourth-grade child and at the level of a high-school student. For the fourth grade level questions, I argue that questions that require the understanding of time, impossible or pointless scenarios, of causality, of the human body, or of sets of objects, and questions that require combining facts or require simple inductive arguments of indeterminate length can be chosen to be easy for people, and are likely to be hard for AI programs, in the current state of the art. For the high-school level, I argue that questions that relate the formal science to the realia of laboratory experiments or of real-world observations are likely to be easy for people and hard for AI programs. I argue that these are more useful benchmarks than existing standardized tests such as the SATs or Regents tests.

Google CEO Pichai commits to lasting, meaningful change


Google CEO Sundar Pichai has made a commitment to his staff to "translate the energy of this moment into lasting, meaningful change". In a note sent company wide, Pichai announced a handful of "concrete" commitments, including building sustainable equity for Google's own Black community, and externally, to make the tech giant's products and programs helpful in the moments that matter most to Black users. "Creating meaningful change starts within our own company. Strengthening our commitment to racial equity and inclusion will help Google build more helpful products for our users and the world," the CEO said. With bias at product development stage condemning a final product to do much the same, Pichai wants his company to create products and programs that help Black users in the moments that matter most.

Choosing a career using artificial intelligence


That ambitious mission is the dream of Life Design, a professional guidance software that is postulated as a tool of self-knowledge through technology. The company, which started in January 2018, closed the first round of investment of $ 150,000 and has worked with 2,000 active users since October last year. According to Felipe Rojas, one of the co-founders, unlike traditional methods, Life Design's philosophy is not to create only the professionals that the industry needs, but to identify what the student is interested in, their tastes, preferences and skills and then connect them. Citing a study in Figures and Concepts, Rojas notes that 68 per cent of millennials do things they are not passionate about in life. "It is a very alarming figure because they are people who do not connect with what they like, especially when 60 per cent cite the fear of failure as the reason for not following their passion. Culturally we are afraid of failure ", explains the Bogota entrepreneur.

The End of Handshakes--for Humans and for Robots


Elenoide the android was made to shake your hand. She looks like a Madame Tussad's rendition of a prim fifth-grade teacher. She's dressed in a salmon cardigan with scalloped edges, a knee-length striped skirt, and a wig made of ashy blonde human hair. Her hands are warmed by heating pads hidden beneath the palms. During experiments, she wears white butler gloves.

A New Class of AI Ethics

CMU School of Computer Science

There is a growing consensus that artificial intelligence ethics instruction is critical, and must extend beyond computer sciences courses. Ethics and technology have always been tightly interwoven, but as artificial intelligence (AI) marches forward and impacts society in new and novel ways, the stakes--and repercussions--are growing. "There is potential for (AI) to be used in ways that society disapproves of," observes David S. Touretzky, a research professor in the computer science department at Carnegie Mellon University. One idea that's gaining momentum is AI ethics instruction in schools. Groups such as AI4K12 and the MIT Media Lab have begun to study the issue and develop AI learning frameworks for K-12 students.