Megan Gittermann, Megan McElroy, Chris Rosas, & Andrea Dickie 9:00-11:00 Rooms 601 & 602.

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Presentation transcript:

Megan Gittermann, Megan McElroy, Chris Rosas, & Andrea Dickie 9:00-11:00 Rooms 601 & 602

Participants will:  Engage in tasks/training focused around new content standards  Become aware of content curriculum, available resources, and updates related to Universal Design for Learning (UDL).  Engage in collaborative planning

Since April Professional Development Day:  25 lessons  16 tasks  Web Resources  Textbook correlations  Formative items*

In Edmodo:  Get access to presentation files  Get access to formative assessment items (coming soon!)  Share your great ideas with other teachers and get their ideas/resources too!

 Go to  Sign-in (if you have an account) or Sign-up as a teacher. ◦ Enter your school code. ◦ Select a username and password. ◦ Sign up

Universal Design for Learning is a set of principles for curriculum development that give all individuals equal opportunities to learn. UDL provides a blueprint for creating instructional goals, methods, materials, and assessments that work for everyone--not a single, one-size-fits-all solution but rather flexible approaches that can be customized and adjusted for individual needs.

Brain Networks

Available:

 How do the lessons compare?  What stands out about the UDL lesson?  What does this mean for daily lesson planning?

Measures of Center and Spread

 Median and IQR ◦ Procedures will have been taught ◦ What types of data are best described by these statistics? ◦ From what types of distributions is it easiest to see this?  Mean and Standard Deviation ◦ Mean will have been taught ◦ What is standard deviation and what does it tell us? ◦ What types of data are best described by these statistics?

A recent article says that teenagers send an average of 100 text messages per day. If I collected data from 6 teenagers, what could the possible data set look like to get this average?

 The easiest way to do this on the calculator is to store the sets of data in separate lists. After the lists are entered, press 2 nd STAT, arrow over to MATH and choose 7:stdev( then ENTER. The students will now need to specify the list like L1 by choosing 2 nd 1, close the parenthesis and press ENTER. (see screens below)

Matching Statistics to Graphs Match the statistics below with the histograms provided. VariableMeanMedianSt. Dev

 Opportunities to collaborate with other teachers, receive “Just in Time” PD, and attend learning labs to watch tasks implemented with actual students.  Will be held one Wednesday a month.  Individuals who register in advance and attend at least 2 hours will be paid workshop wages! (Registration link in Edmodo)!

 Wednesday, September 12 MS  Wednesday, October 10 Lake HS  Wednesday, November 14 th  Wednesday, December 12 th  Wednesday, January 9 th  Wednesday, February 20 th  Wednesday, March 13 th  Thursday, April 25 th (afternoon of Spring PD Day)  Wednesday, May 8 th

 Can be accessed through the wiki or in Edmodo.  Download the file and focus on Unit 1.

 Begin to examine the available curricular resources.  Unit 1 is expected to take about 34 days.  With your table partners, begin to think about what your first few weeks of class will look like. ◦ What tasks/lessons will you use? ◦ How will you pre-assess students for background knowledge?