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

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Presentation on theme: "Megan Gittermann, Megan McElroy, Chris Rosas, & Andrea Dickie 9:00-11:00 Rooms 601 & 602."— Presentation transcript:

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

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3 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

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

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6 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!

7  Go to http://hcpss.edmodo.comhttp://hcpss.edmodo.com  Sign-in (if you have an account) or Sign-up as a teacher. ◦ Enter your school code. ◦ Select a username and password. ◦ Sign up

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9 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.

10 Brain Networks

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13 Available: http://udlwheel.mdonlinegrants.org/http://udlwheel.mdonlinegrants.org/

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

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17 Measures of Center and Spread

18  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?

19 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?

20  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)

21 Matching Statistics to Graphs Match the statistics below with the histograms provided. VariableMeanMedianSt. Dev. 150 10 250 15 3535010 4535020 5475010 650 5

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24  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)!

25  Wednesday, September 12 th @Dunloggin MS  Wednesday, October 10 th @Wilde 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

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

27  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?

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