This short text explains the reasoning for the sequencing of the content in Foundation Science: Biology. Specifically, it describes the content sequence for the full year curriculum, for the Genetics Unit, for a Learning Experience, and provides examples.
DR K-12 project Confronting the Challenges of Climate Literacy, known as the EarthLabs project, will host 2 week-long workshops this summer for high school teachers in Austin, TX and Starkville, MS. Workshop participants will learn about three new high school curriculum modules developed by the project (topics listed below) and how the modules can be incorporated into science classes.
DR K-12 project Confronting the Challenges of Climate Literacy, known as the EarthLabs project, will host 2 week-long workshops this summer for high school teachers in Austin, TX and Starkville, MS. Workshop participants will learn about three new high school curriculum modules developed by the project (topics listed below) and how the modules can be incorporated into science classes.
DR K-12 project Confronting the Challenges of Climate Literacy, known as the EarthLabs project, will host 2 week-long workshops this summer for high school teachers in Austin, TX and Starkville, MS. Workshop participants will learn about three new high school curriculum modules developed by the project (topics listed below) and how the modules can be incorporated into science classes.
AERA-Virtual Research Learning Center (AERA-VRLC)
Georgia World Congress Center
Atlanta, GA
June 23, 2013
Science is data-intensive, but today’s science education is not. In most classrooms, students’ work with data is limited to reading graphs prepared by others, or at best collecting simple data sets themselves. While these student-collected data sets allow students to begin building their data proficiency, the conclusions that can be drawn and the lessons that can be learned from these data are limited in scope and can sometimes be compromised by data quality.
The Oceans of Data project has made an attempt to define and confront what is “hard” for students and teachers who attempt to use large, online professional data sets. We feel passionately that it’s important for us to do this to prepare today’s students for tomorrow’s world.
Science is data-intensive, but today’s science education is not. In most classrooms, students’ work with data is limited to reading graphs prepared by others, or at best collecting simple data sets themselves. While these student-collected data sets allow students to begin building their data proficiency, the conclusions that can be drawn and the lessons that can be learned from these data are limited in scope and can sometimes be compromised by data quality.
The Oceans of Data project has made an attempt to define and confront what is “hard” for students and teachers who attempt to use large, online professional data sets. We feel passionately that it’s important for us to do this to prepare today’s students for tomorrow’s world.
The Cyber Enabled Learning project will host an institute on April 12, 2013, from 5 pm to 7 pm. All participating teachers and administrators are invited. The purpose of the institute is to report the teachers' progress, their achivements, their impact on the students, how this project benefits students, and how administrators can support the teachers.
Important Notice on the Impact of FY 2013 Sequestration Order on NSF Awards
Read the NSF Notice here: http://nsf.gov/pubs/2013/in133/in133.pdf
