understanding of science and their capacity for responsible work and citizenship

In the C.R.E.A.T.E. (Consider, read, elucidate hypotheses, Analyze and interpret data, think of the next experiment) approach (Hoskins et al., 2007), students learn to think of themselves as scientists

The Qualitative Data Repository (QDR) and Hypothesis have partnered to meet this challenge by developing a new way to cite, supplement, and share the data underpinning published work.

ntelligent tutoring systems (ITS) and related activities that narrowly scope learning tasks

(a) learning management systems (LMS) or massively open online courses (MOOCs) that primarily organize, coordinate, and deliver resources (e.g., syllabi, video clips, quizzes);

diverse learners

distributed digital environments

the design of the next generation of digital learning environments for science,

students will work collectively to build scientific understanding

bring school science into closer alignment with real-world science through deeper connections to public scientific discourse.

AST-1312950

A grant is awarded to University of Maryland, College Park to develop informatics tools that allow scientists and conservation managers to use animal relocation and tracking data to study movement processes at the population level.

My project seeks to develop computer models that simulate and link behavioral movement mechanisms which can be either based on memory, perceptual cues or triggered by environmental factors. It explores their efficiency under different scenarios of resource distributions across time and space. Finally it tries to integrate empirical data on resource distributions as well as movements of moving animals, such as satellite data on primary productivity and satellite tracking data of Mongolian gazelles.