Project-based or experiential learning provides a unique opportunity for learners to practice and build their skills, and deepen their understanding of themselves, within a messier problem space than the traditional classroom model affords.
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Practicum: Teaching at Beaver Works Summer Institute
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- MIT Lincoln Laboratory/MIT School of Engineering
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Topics: Artificial Intelligence Project-Based Learning
Licensing Information: All Rights Reserved
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.
Content Author:
Date: 3 March 2020
This webinar focuses on the process we use to develop hands-on activities for our STEAM Camps based on our free and openly licensed
Content Author:
Kyle Keane, Anna Musser
Date: 7 August 2019
In this webinar, you'll hear from Dr.
Content Author:
Michael Scott Cuthbert
Date: 6 August 2019
That the humanities and other liberal arts have benefited greatly from advances in computation is obvious and the field of digital humanities has blossomed under the computational revolution. But what do the humanities contribute to computer science and programming?
Content Author:
Date: 21 June 2019
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.
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
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.
Content Author:
Woodie Flowers
Date: 9 October 2017
Prof. Woodie Flowers shares implications of emerging understandings of how we learn, and the application of those findings in engineering design classes.