Big Data in Education: Implications for Design

• In Event: Presidential: Big Data in Education: Implications for Design

Short Description

Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet these advances can be realized only if designs for instruction are optimized for collecting and analyzing the full range of data necessary to improve learning and assessment. Based on two NSF-funded workshops on big data in education, this session provides guidelines on how to design for data-based teaching and learning that advances educational outcomes for every student.

Author

• Christopher J Dede, Harvard Graduate School of Education