SC08 K-12 Presentation Schedule and Session Descriptions...and a guide to the rest of SC08!
edu150 15-Nov 10:30AM 12:00PM
K-12 Education I
STEM and the Computational Science Initiative
Bonnie Bracey Sutton (The George Lucas Education Foundation), Ray Rose (Mentornet), Manorama Talaiver (Institute for Teaching through Technology & Innovative Practices)
Why are we here? Learn about National, State and Local initiatives that are using computational science to make a difference in the K-12 learning community.
edu160 15-Nov 4:00PM 5:00PM
Pathways: K-12 Education
Pathways: K-12 Education
Bonnie Bracey Sutton (The George Lucas Education Foundation), Susan Ragan (Maryland Virtual High School), Thomas Loughran (University of Notre Dame)
Small group discussions of the discipline-specific needs of K-12 educators will lead to plans for collaboration around professional development opportunities in HPC/computational science applications for the K-12 audience.
edu151 16-Nov 10:30AM 12:00PM
K-12 Education II
Building a Mathematical Model from Experimental Data
Scott Sinex (Prince George's Community College), Charlotte Trout (Williamsport High School), Susan Ragan (Maryland Virtual High School)
Using Excel, we will build a mathematical model based on data collected using easily obtained resources such as Styrofoam cups. We will then explore the mathematical model and its physical significance by introducing parameters for the model, examining measurement error via simulation, and interpreting the goodness-of-fit and linear regression curves. Assessment questions for students will also be covered. This workshop will demonstrate the power of Excel in visualizing data. No prior Excel experience is needed.
edu152 16-Nov 1:30PM 3:00PM
K-12 Education III
Mathematical Modeling using Real-World Data
Steve Gordon (Ohio Supercomputer Center), Scott Sinex (Prince George's Community College), Susan Ragan (Maryland Virtual High School)
Using a variety of data sets, we will build mathematical models using Excel. We will look at graphing the data, a number of regression types (linear, power, and exponential) available in Excel to examine curve fitting, and consider goodness-of-fit using R2, as well as residuals. We will also explore data transformations of non-linear data to linearize the model. Minimal Excel experience required.
edu154 16-Nov 3:30PM 5:00PM
K-12 Education IV
CMIST - Connecting Concepts across the Curriculum
Jenda Domaracki and Pallavi Ishwad (Pittsburgh Supercomputing Center)
CMIST (Computational Modules in Science Teaching) is a high school and undergraduate outreach program of the National Resource for Biomedical Supercomputing (NRBSC) at the Pittsburgh Supercomputing Center (PSC). CMIST dramatically enhances comprehension in multidisciplinary STEM areas through a leading-edge approach to computer simulation and visualization, set within the context of typical classroom lectures and content. For example, the pilot CMIST module focusing on “Molecular Transport in Cells” brings fundamental concepts of diffusion and osmosis to life with a seamless integration of biology, math, physics, and chemistry.
edu153 17-Nov 10:30AM 12:00PM
K-12 Education V
Collaboration Tools for K-12 eScience
Thomas Loughran (University of Notre Dame), Adam Frey (Wikispaces)
(Adam's presentation)
This session will introduce web 2.0 collaboration tools (wikis, blogs, forums, maps, calendars, readers, chat, video conferencing, etc) and investigate the possibilities they bring for organizing online community among K-12 SC Education Program participants and their students.
edu155 17-Nov 1:30PM 3:00PM
K-12 Education VI
Turning Multivariable Models into Interactive Animated Simulations
Scott Sinex (Prince George's Community College), Charlotte Trout (Williamsport High School), Susan Ragan (Maryland Virtual High School)
Using tools available in Excel, we will turn a multivariable model into an interactive animated simulation. Projectile motion, Boyle's Law, nuclear decay, and population growth are just a few examples of the types of models for which a simulation can be useful to deepen a student's understanding. Knowledge of the basic aspects of Excel as covered in the earlier Excel workshops is required.
edu156 17-Nov 3:30PM 5:00PM
K-12 Education VII
Advanced Models
Scott Sinex (Prince George's Community College), Charlotte Trout (Williamsport High School), Susan Ragan (Maryland Virtual High School)
This is a continuation of the Turning Multivariable Models into Interactive Animated Simulations session. More interactive features will be introduced. We will explore the use of "if statements" for turning on-and-off text as well as data on graphs. We will examine the introduction of random error into a model to show the effect of goodness-of-fit. Animation techniques such as using a bar graph to make a thermometer or using a scatter plot and random variation to simulate vibrating atoms will be demonstrated.
edu157 18-Nov 10:30AM 12:00PM
K-12 Education VIII
Discovering Data in the Classroom
Diane Baxter (San Diego Supercomputing Center), Jeff Sale (San Diego Supercomputing Center)
Real scientific data – the foundations of science – can be difficult to identify, locate, and use effectively in the classroom. SDSC’s Discover Data Portal (http://education.sdsc.edu/discoverdata ) offers lessons created around authentic data from a variety of scientific disciplines, offering a real-world approach to science learning. Workshop participants will explore lessons built around scientific data sets and offered to educators through the Moodle course management system. Each participant will get a permanent account on the portal, and discover lessons based on data sets from marine science, bioinformatics, seismology, and astronomy. Participants will also test and give feedback on a prototype interactive data mapping tool for teachers and students to upload and share their own environmental data.
edu158 18-Nov 1:30PM 3:00PM
K-12 Education IX
Mash-ups for K-12 eScience
Jeff Sale (San Diego Supercomputing Center), Stephanie Stevenson (Fort Caroline Middle School), Tim Hardt (Washington High School)
This session will introduce mashups--defined by Google as "a Web site that combines content data from more than one source to create a new user experience"--to K-12 educators. This introduction will focus on incorporating a variety of scientific data into shared maps, an area of mashups accessible to most K-12 teachers and their students. More sophisticated mashups and mashup authoring tools will also be introduced, and a link to a fuller introduction to these tools will be provided. Two examples of mashups being used in K-12 classrooms will be presented and discussed.
edu159 18-Nov 3:30PM 5:00PM
K-12 Education X
Collaboration Bazaar
Bonnie Bracey Sutton (The George Lucas Education Foundation), Susan Ragan (Maryland Virtual High School), Thomas Loughran (University of Notre Dame)
This session provides an opportunity for participants to view and discuss with their colleagues a wider variety of computational science and HPC resources for K-12 classrooms than were featured in the main conference sessions. Time will be set aside at the end of the session for participants to develop the written follow-up plan required as a condition of conference attendance.