16 Matching Annotations
  1. Jan 2018
    1. understanding of science and their capacity for responsible work and citizenship

      Connection between STEM education and citizenship

    2. 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

      Could be accomplished through annotation

    1. 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.
    1. ntelligent tutoring systems (ITS) and related activities that narrowly scope learning tasks

      What's the opposite of narrowly scoping learning tasks? Project based learning? Collaborative learning tasks? "Real-world" engagement with scientific knowledge production?

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

      See EDUCAUSE/Bodong for lack of teaching and learning in LMS.

    2. diverse learners

      How does our vision address needs of "diverse learners"? By being so flexible and universal as to work in different contexts? Unique opportunities for intervention/feedback?...

    3. distributed digital environments

      By definition h works across and connects various platforms...

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

      What's different between the NGDLE for science and for other disciplines?

    1. students will work collectively to build scientific understanding

      Students as active producers of knowledge.

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

      Scientific literacy and research as a continuum. Involving undergrads, etc. in "real" science.

  2. Jun 2017
  3. Apr 2017
  4. Jan 2014
    1. 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.
    1. 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.