Tag Archives: Data analytics/data mining

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 […]

EXP: Transforming High School Science via Remote Online Labs

PIs: Kemi Jona, David Uttal Northwestern University Award Details The PIs seek to understand better how online remote labs can be made to function effectively in high-school science classes, especially focusing on the roles of teachers as they facilitate investigations around those labs and how to support teachers in their roles. The big research issue […]

EXP: Collaborative Research: Fostering Ecologies of Online Learners through Technology Augmented Human Facilitation

PI: Carolyn Rose, Carnegie-Mellon University (Award Details) Marcela Borge, Penn State University (Award Details) This Cyberlearning: Transforming Education project brings together leading-edge researchers in computational linguistics and computer-supported collaborative learning to explore feasibility issues in designing an intelligent conversational agent that interacts with groups of learners as they are working together and provides cognitive, meta-cognitive, […]

EXP: Learning Lens: An Evidence-Centered Tool for 21st Century Assessment

PIs: Lucien Vattel, Paula Hidalgo, Michelle Riconscente GameDesk, Inc. Award Details In this Cyberlearning: Transforming Education EXP project, a collaborative team of assessment specialists, learning scientists, K12 educators, educational technologisst, and informal science educators are exploring the design and feasibility of a tool called the Learning Lens, a mobile multi-media tool for gathering data in […]

DIP: Collaborative Research: Taking Hands-on Experimentation to the Cloud: Comparing Physical and Virtual Models in Biology on a Massive Scale

PIs: Ingmar Hans Riedel-Kruse, Paulo Blikstein Stanford University Award Details In this Cyberlearning: Transforming Education DIP project, the PIs are building and evaluating a technological and curricular infrastructure to empower scalable, low-cost experimentations for undergraduates and K-12 students in the life sciences. The infrastructure exploits two technologies that have been developed by the PIs: biotic […]