Maya Bialik

Maya Bialik
Boston University | BU · School of Education

Ed. M. Mind, Brain, Education 2012 | Harvard Graduate School of Education

About

14
Publications
147,257
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,621
Citations
Introduction
Starting my PhD on AI and Education in the fall at Boston University. Founder of QuestionWell AI. Directing, performing, and facilitating improv.

Publications

Publications (14)
Book
Full-text available
What should students learn to best prepare for the twenty-first century? In this book, the Center for Curriculum Redesign (CCR) describes a framework built to address this question, so that curriculum is redesigned for versatility and adaptability, to thrive in our volatile present and uncertain future. The framework focuses on knowledge (what to k...
Article
Full-text available
for more, see https://curriculumredesign.org/
Book
Full-text available
Artificial intelligence (AI) is arguably the driving technological force of the first half of this century, and will transform virtually every industry, if not human endeavors at large. Businesses and governments worldwide are pouring enormous sums of money into a very wide array of implementations, and dozens of start-ups are being funded to the t...
Article
Full-text available
Much of human inquiry today is focused on collecting massive quantities of data about complex systems, with the underlying assumption that more data leads to more insight into how to solve the challenges facing humanity. However, the questions we wish to address require identifying the impact of interventions on the behavior of a system, and to do...
Article
Full-text available
Measuring public sentiment is a key task for researchers and policymakers alike. The explosion of available social media data allows for a more time-sensitive and geographically specific analysis than ever before. In this paper we analyze data from the micro-blogging site Twitter and generate a sentiment map of New York City. We develop a classifie...

Network

Cited By