Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce. While researchers and practitioners have developed data systems to track detailed occupational skills, such as those established by the U.S. Department of Labor (DOL), much less effort has been made to document skill development in higher education at a similar granularity. Here, we fill this gap by presenting a longitudinal dataset of skills inferred from over three million course syllabi taught at nearly three thousand U.S. higher education institutions. To construct this dataset, we apply natural language processing to extract from course descriptions detailed workplace activities (DWAs) used by the DOL to describe occupations. We then aggregate these DWAs to create skill profiles for institutions and academic majors. Our dataset offers a large-scale representation of college-educated workers and their role in the economy. To showcase the utility of this dataset, we use it to 1) compare the similarity of skills taught and skills in the workforce according to the US Bureau of Labor Statistics, 2) estimate gender differences in acquired skills based on enrollment data, 3) depict temporal trends in the skills taught in social science curricula, and 4) connect college majors' skill distinctiveness to salary differences of graduates. Overall, this dataset can enable new research on the source of skills in the context of workforce development and provide actionable insights for shaping the future of higher education to meet evolving labor demands especially in the face of new technologies.

In recent months, new artificial intelligence tools have garnered attention, and concern, over their ability to produce original work. The creations range from college-level essays to computer code and works of art. As Stephanie Sy reports, this technology could change how we live and work in profound ways.

I'm Patti bass headed Sagar Group of Institutions today we are up for our upcoming event and you know we are into it. We were talking since last 7 days and yes here we are so let me introduce Lucy's. It's a series of technical Talks based on trending Technologies. Associate Got a great relations and of course, let me introduce our guest of honor today. Mister Rohit Dubey senior Consultant Cloud Technologies OpenText Bangalore, Welcome sir on behalf of SISTecE I would like to welcome and thanks to you that you have spare time for our listeners and giving them insights of the trending Technologies. Rohit by you know getting into the technology we just wanted to highlight some of your projects and your journey specifically over to you.

Imagine taking a college exam, and, instead of handing in a blue book and getting a grade from a professor a few weeks later, clicking the "send" button when you are done and receiving a grade back instantly, your essay scored by a software program. And then, instead of being done with that exam, imagine that the system would immediately let you rewrite the test to try to improve your grade. EdX, the nonprofit enterprise founded by Harvard and the Massachusetts Institute of Technology to offer courses on the Internet, has just introduced such a system and will make its automated software available free on the Web to any institution that wants to use it. The software uses artificial intelligence to grade student essays and short written answers, freeing professors for other tasks. The new service will bring the educational consortium into a growing conflict over the role of automation in education.