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talks [2014/09/23 17:49]
hongsudt created
talks [2016/05/13 20:45] (current)
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 +=== 2014 ===
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 **Mobile Data Collection using the Ohmage Platform for Instruction**,​ Hongsuda Tangmunarunkit,​ MMWCOND 2014, Sep 2014 **Mobile Data Collection using the Ohmage Platform for Instruction**,​ Hongsuda Tangmunarunkit,​ MMWCOND 2014, Sep 2014
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 //​abstract://​ Mobilize is an NSF-funded project that is using the vehicle of Participatory Sensing to enhance secondary math and science education. ​ This year Mobilize launched the Introduction to Data Science (IDS) course, a year-long course to teach fundamental skills and understandings required for computing with data and thinking constructively about data.  The Guidelines for Assessment and Instruction in Statistics Education (GAISE) ratified by the American Statistical Association emphasize that students must learn to use technology to analyze data.  In that spirit, we are preparing teachers to teach their students 1) participatory sensing technologies,​ to create and design their data collection projects and to collect data, and 2) Rstudio, a web-based environment for learning the R statistical programming language in order to discover meaning in  data. Although we have only recently launched the IDS course and so have held only 6 days of professional development workshops, these workshops were based on what we learned in previous efforts while preparing over 150 teachers to teach shorter technology and data focused modules within Exploring Computer Science, Algebra I, and Biology. Mobilize implements the Science Immersion Model for Professional Learning (SIMPL), blended with active, hands-on learning to develop conceptual understanding of statistical and computational principles.  ​ //​abstract://​ Mobilize is an NSF-funded project that is using the vehicle of Participatory Sensing to enhance secondary math and science education. ​ This year Mobilize launched the Introduction to Data Science (IDS) course, a year-long course to teach fundamental skills and understandings required for computing with data and thinking constructively about data.  The Guidelines for Assessment and Instruction in Statistics Education (GAISE) ratified by the American Statistical Association emphasize that students must learn to use technology to analyze data.  In that spirit, we are preparing teachers to teach their students 1) participatory sensing technologies,​ to create and design their data collection projects and to collect data, and 2) Rstudio, a web-based environment for learning the R statistical programming language in order to discover meaning in  data. Although we have only recently launched the IDS course and so have held only 6 days of professional development workshops, these workshops were based on what we learned in previous efforts while preparing over 150 teachers to teach shorter technology and data focused modules within Exploring Computer Science, Algebra I, and Biology. Mobilize implements the Science Immersion Model for Professional Learning (SIMPL), blended with active, hands-on learning to develop conceptual understanding of statistical and computational principles.  ​
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 +=== 2013 ===
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 +** Mobile Data Collection for Research Pilots, in-class Field Work and as a Public Health Challenge **, Rose Rocchio, Hongsuda Tangmunarunkit,​ mmwcon 2013, Sep 2013
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 +//​abstract://​ This session will introduce how UCLA is exploring Mobile Data Collection using the ohmage platform and ohmage MWF clients with a series of pilots deploying this technology in instructional curricula, wellness incentive and challenge programs and research studies. The session will discuss the UCLA and Cornell Tech NYC ongoing collaboration around the platform, and the expansion into a broader open technology community. In addition we will share the instructional deployment of the Mobilize Project at LAUSD, which leverages ohmage, in addition to what OIT is supporting ohmage for classwork field studies at UCLA. The Bruin Break Wellness Dashboard project will be described and additional pilots will be described
  
  
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