What skills will students need in order to succeed in a future shaped by AI?

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Senior Associate Dean for Open Learning
MIT

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Speaking at the Times Higher Education Teaching Excellence Summit at Western University, Shigeru Miyagawa, senior associate dean for open learning at the Massachusetts Institute of Technology, said that knowledge of AI and computational systems should be integral to higher education.

Topics: Artificial Intelligence Curriculum Design

Human Skills Workshop Curriculum and Materials

Content Author:

Glenda Stump, George Westerman

Date: 28 January 2020

”Human Skills: Foundation for Success in the Future of Work” is a workshop designed to help participants understand essential non-technical skills for success in the complex work environments of today and tomorrow.

The OECD Learning Compass 2030

Content Author:

Organisation for Economic Co-operation and Development (OECD)

Date: 12 June 2019

The Learning Compass 2030 defines the knowledge, skills, attitudes, and values that learners need to fulfill their potential and contribute to the well-being of their communities and the planet.

Introduction to the Compassionate Systems Framework in Schools

Content Author:

Abdul Latif Jameel World Education Lab

Date: 1 April 2019

In education, where interest in social and emotional learning (SEL), mindfulness, and systems thinking is growing, we find both an opportunity and a need to develop models of thinking and teaching that prepare students to better understand and respond to the systems to which these issues belong.

Hybrid Ed Workshop 2018: Looking Back and into the Future

Content Author:

Carlos Delgado Kloos

Date: 21 June 2018

The closing presentation from the HybridEd Workshop 2018, held June 21 on the MIT campus.

Hybrid Ed Workshop 2018: Activity 2 Panel 3

Content Author:

Mary Ellen Wiltrout

Date: 21 June 2018

The sixth panel from the 2018 HybridEd Workshop, featuring Daniel Seaton, Product Owner for DART at Harvard University; Brad Wheeler, Learning Experience Designer for the Boston University Center for Teaching & Learning; Liling Huang, Lecturer in Chinese at Boston University; and Robert Rubin

Brains, Minds and Machines

Content Author:

Tomaso Poggio

Date: 4 April 2018

This course explores the problem of intelligence—its nature, how it is produced by the brain and how it could be replicated in machines—using an approach that integrates cognitive science, which studies the mind; neuroscience, which studies the brain; and computer science and artificial intellige

The Global State of the Art in Engineering Education

Content Author:

MIT New Engineering Education Transformation (NEET)

Date: 30 March 2018

This study considers the global state of the art in engineering undergraduate education.

Translating Complex Concepts for the Youngest Learners (March 2018 J-WEL Week)

Content Author:

Angela Belcher

Date: 20 March 2018

Angie Belcher, pK-12 @ J-WEL Faculty Co-Director and MIT professor, is convinced that even the most complicated concepts can be translated for the youngest learners. In this clip, she discusses teaching children how to amplify DNA.

AI and the Future of Work Conference

Content Author:

MIT Computer Science and Artificial Intelligence Laboratory

Date: 2 November 2017

MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and the Initiative on the Digital Economy (IDE) joined forces to host a 2-day conference on November 1 & 2, 2017, which brought together industry, academia, economists and visionaries for an open dialogue about AI’s impact.

Practicum: Teaching at Beaver Works Summer Institute

Content Author:

MIT Lincoln Laboratory/MIT School of Engineering

Date: 27 October 2017

The MIT Beaver Works Summer Institute is a rigorous, world-class STEM program for talented rising high school seniors. The 2017 program featured three project-based, workshop-style courses. In the RACECAR course, students programmed small robotic cars to autonomously navigate a racetrack.

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What skills will students need in order to succeed in a future shaped by AI?

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