Tag Archives: Analytics/data mining

EXP: Inq-Blotter – A Real Time Alerting Tool to Transform Teachers’ Assessment of Science Inquiry Practices

9/1/16-8/31/18 PIs: Janice Gobert, Michael Sao Pedro Rutgers University Award Details This EXP project addresses the need for real-time diagnostic tools for teachers that can assess students’ needs, i.e. provide formative assessment, in order to improve science instruction. The project will extend, pilot, implement, and study Inq-Blotter, a scalable, web-based alerting system that enables teachers’ […]

EXP: Linguistic Analysis and a Hybrid Human-Automatic Coach for Improving Math Identity

9/1/16-8/31/19 PIs: Jaclyn Ocumpaugh, Scott Crossley, Ryan Baker, Victor Kostyuk, Leigh Mingle Teachers College, Columbia University Award Details This project addresses the effect of students’ social identity on learning, an important factor in math and science education. Specifically, it will advance the scientific understanding of math identity (i.e. “I’m (not) a math person”) by studying […]

EXP: Collaborative Research: Extracting Salient Scenarios from Interaction Logs (ESSIL)

9/1/16-8/31/18 PIs: Andee Rubin, TERC Inc (Award Details) Barbara Grosz, Harvard University (Award Details) Leilah Lyons, New York Hall of Science (Award Details) The Extracting Salient Scenarios from Interaction Logs (ESSIL) project proposes to develop a new type of educational technology to support students’ learning about complex systems from their participation in a multi-person immersive […]

DIP: Improving Collaborative Learning in Engineering Classes Through Integrated Tools

9/1/16-8/31/20 PIs: Emma Mercier, Luc Paquette University of Illinois at Urbana-Champaign Award Details This project is focused on the teaching of collaborative problem solving activities in introductory engineering courses and builds on a prior project to design tools for collaborative sketching in these courses. The project is based on a recognition of the importance of […]

Doctoral Consortium for the 2016 Learning Analytics and Knowledge Conference

PIs: Stephanie Teasley, Bodong Chen University of Michigan Ann Arbor Award Details Using data analytics has revolutionized many academic disciplines, such as Astrophysics and Biology. In addition, it has changed the commercial world and critical services like healthcare. The field of education research is also beginning this change. The Society for Learning Analytics Research (SoLAR) […]

CAP: Data Consortium Fellows: A Mentorship Program to Expand the Cyberlearning Data Analytics Community

PI: Matthew Berland University of Wisconsin-Madison Award Details The proposed work is a series of summits designed to increase the capacity of researchers in the learning sciences community through exposure and instruction in advanced data analytic techniques. It addresses a critical need at the intersection of two burgeoning fields of study and advances the larger […]

CAP: Advancing Technology and Practice for Learning Reading and Writing Skills in Secondary Science Education

PIs: Rebecca Passonneau, Smaranda Muresan, Dolores Perin Columbia University Award Details The proposed workshop brings together researchers and educators to discuss how to advance technology and practice to better promote secondary school science literacy. There is a clear need for new directions in science literacy. Over the past decade, the National Center for Education Statistics […]

Badge-Based STEM Assessment: Current Terrain and the Road Ahead

PIs: Michelle Riconscente, Margaret Honey New York Hall of Science Award Details The New York Hall of Science proposes a two-pronged workshop project that will: (1) conduct a study of and develop a draft report on the topic of STEM badges including conceptualizations, rationale, systems, key contributors and challenges and opportunities for STEM-related badges; and […]