The objective of this focus area is to work with the community to guide the development and dissemination of data science approaches and resources for education across the community, from PreK-12 to higher education and industry, with the goal to improve data literacy and educational outcomes. This includes:
1. Amplifying the success and reach of data science education and data literacy activities, from virtual and in-person workshops to Massive Open Online Courses (MOOCs), to empower educators and researchers to improve data science practices and reach a broad community
2. Enabling community and educational institutions across the region to deliver data science education to underserved constituencies, extending the success of the Data Science for All workshops, and perhaps adding domain-specific data science and data carpentry workshops
3. Increasing community collaboration to leverage the Big Data for Education spoke best practices, including innovations in intelligent tutor pedagogy, and collaborative analyses of Big Data for Education MOOC data
Current Projects
NSF BD Spoke Award: Grand Challenges for Data-Driven Education
Building Capacity with the Carpentries – coming soon!
Data Science Resource Repository – coming soon!
Success Stories
Announcing the Northeast Big Data Hub Seed Fund Program
The Northeast Big Data Hub is delighted to announce our Seed Fund program this month. Designed to promote collaboration in…
Data-driven workshops help teachers understand and engage with students
Guest post by Ivon Arroyo, Associate Professor in the College of Education and the College of Computer Science at the…
Massive online open course teaches machine learning and data mining for education research
Guest post by Ryan Baker, Associate Professor in the Graduate School of Education at the University of Pennsylvania. The Northeast…
ASSISTments Longitudinal Data Competition challenges participants to determine correlation between early mathematics education and STEM careers
Guest post by Ryan Baker, Associate Professor in the Graduate School of Education at the University of Pennsylvania. The ASSISTments…
Data Science for All: NE Hub workshop explores teaching data science to high schoolers
Data science is expanding rapidly in undergraduate education, but at the K-12 level, few schools have integrated this critical subject…
Funding Awarded for First Round of NEBDIH-Sponsored Big Data Workshops
As part of our mission to address high-priority challenges with data-driven solutions, the Northeast Big Data Innovation Hub put out…
UMass Amherst, WPI, Penn announce winners of Northeast big data competition
Winning Schemes for Predicting Student Interest in Science UMass Amherst, WPI, Penn announce winners of Northeast big data competition …
Talking Big Data Literacy in “Data Divide” series
With data touching all aspects of our lives today, how can we look beyond traditional approaches to data science education…
First Steps toward Big Data Literacy Framework at Spring Workshop
Guest post by Catherine Cramer, NYSCI Increasingly, the prosperity, innovation and security of individuals and communities depend on a big…
Big Data in Education: News and Competition
How can big data help predict student outcomes? Ryan Baker (U Penn) and Neil Heffernan (Worcester Polytechnic Institute) of our…
Telling a Story with Data: Young Innovator Kenneth Graves
This post highlights one of the up-and-coming data science graduate students who participated in the Northeast Big Data Innovation Hub’s…
Northeast Big Data Innovation Hub Awarded $3.3 million to Create Solutions to Pressing Challenges in Health, Education and Data Sharing
Click here for a PDF version of this release. Click here for the press release from the National Science Foundation…