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

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Shigeru Miyagawa

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

Improving Reading and Comprehension in K-12: Evidence From a Large-Scale AI Technology Intervention in India

Content Author:

Venkat Srinivasan, Hemavathi Murthy

Date: 1 April 2021

This paper presents evidence on the impact of technology-aided instruction on literacy using an AI-based multi-sensory technology platform across a large cross-section of government schools in India. The study focused on reading and comprehension in the English language.

Update on Redesigning MIT's Calculus Course

Content Author:

Sanjoy Mahajan

Date: 18 February 2021

Many students, even at MIT, cannot apply calculus in downstream science and engineering courses. For example, many students can evaluate integrals but cannot translate a physical situation into an integral.

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.

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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.

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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.

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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

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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

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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.

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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.

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

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