1st Grade Measurement and Data Centers
This Measurement and Data centers pack is a black and white centers resource to use when teaching the M.D. strategies! This is not a curriculum, but a resource to help supplement your lessons! With centers for topics such as telling time, graphing, and measurement.
These are in black and white to save your ink! I print on colored paper to make them colorful for the kiddos.
This item aligns to the Common Core standards for the Measurement and Data domain, but you don't have to be a Common Core classroom to use this pack!
-Nonstandard Units of Measurement
-Time to the Half Hour
This item is included in a money-saving centers bundle.
for the centers bundle.
You can save even more money when buying this item in a first grade common core bundle, which includes the centers bundle, plus short answer, printables, and interactive notebook templates.
for the MEGA bundle.
Not interested in the bundles? But want more 1st Grade MD products?
Click here for MD Printables.
Click here for MD Short Answers.
Click here for MD Interactive Notebook Templates.
This purchase is for one single classroom only.
If you're interested in sharing with other classrooms, make sure to buy the extra licenses for 50% off through the TeachersPayTeachers tool. If you are interested in a site license, please contact me for a quote at jessica.L.email@example.com.
Order three objects by length; compare the lengths of two objects indirectly by using a third object.
Express the length of an object as a whole number of length units, by laying multiple copies of a shorter object (the length unit) end to end; understand that the length measurement of an object is the number of same-size length units that span it with no gaps or overlaps. Limit to contexts where the object being measured is spanned by a whole number of length units with no gaps or overlaps.
Tell and write time in hours and half-hours using analog and digital clocks.
Organize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.