April 4 - Joan Lack - Birthday
April 4 - MAP window opens
April 8 - MAP Assembly 5th @ 12:15, 6th @ 1:15
April 10 - Kathy Patillo - Birthday
April 11 - Map testing begins
April 12 - Wendy's Night - 5th grade
April 13 - Mid quarter grades
April 13 - Faculty Meeting
April 14 - Shannon Fowler - Birthday
April 14 - Insurance Meeting
April 19 - Choir Concert @ 6:30
April 20 - Honor Choir to Cardinals
April 21 - Board Meeting @ 7:00
April 23 - Jamie Woolard - Birthday
April 26 - Wendy's Night - 6th grade
April 27 - Secretary Appreciation Day
April 28 - MODOT Presentations
April 28 - Kids on Broadway @ 6:30
May 2 - Retirement / End of the Year Celebration @ 5-7
May 5 - Track Day
May 6 - Growing up Classes
May 9 - Shelly Ridens - Birthday
May 9 - Wings
May 9 - 7up Splash
May 10 - Honors Reception - @ 6:00
May 10 - Wendy's Night
May 11 - School Nurse Day
May 12 - Last Day of School
June 1 - Summer School
By now, everyone has had a summative conference, but the question remains, "How will my SLO data impact my summative?" Well, here is some info:
When you complete your SLO cycle, you should have beginning (pre-test) and ending (post-test) data. We used the tiered targets that looked like this:
April 4 - MAP window opens
April 8 - MAP Assembly 5th @ 12:15, 6th @ 1:15
April 10 - Kathy Patillo - Birthday
April 11 - Map testing begins
April 12 - Wendy's Night - 5th grade
April 13 - Mid quarter grades
April 13 - Faculty Meeting
April 14 - Shannon Fowler - Birthday
April 14 - Insurance Meeting
April 19 - Choir Concert @ 6:30
April 20 - Honor Choir to Cardinals
April 21 - Board Meeting @ 7:00
April 23 - Jamie Woolard - Birthday
April 26 - Wendy's Night - 6th grade
April 27 - Secretary Appreciation Day
April 28 - MODOT Presentations
April 28 - Kids on Broadway @ 6:30
May 2 - Retirement / End of the Year Celebration @ 5-7
May 5 - Track Day
May 6 - Growing up Classes
May 9 - Shelly Ridens - Birthday
May 9 - Wings
May 9 - 7up Splash
May 10 - Honors Reception - @ 6:00
May 10 - Wendy's Night
May 11 - School Nurse Day
May 12 - Last Day of School
June 1 - Summer School
By now, everyone has had a summative conference, but the question remains, "How will my SLO data impact my summative?" Well, here is some info:
When you complete your SLO cycle, you should have beginning (pre-test) and ending (post-test) data. We used the tiered targets that looked like this:
| Pretest Score | Posttest Target | |
| Range Begin | Range End | Minimum Expected |
| 0 | 40 | 60 |
| 41 | 50 | 70 |
| 51 | 70 | 80 |
| 71 | 85 | 90 |
| 86 | 100 | 95 |
So, if a student scored at a 51 on the pre-test, they needed to get to 70 to show growth. If you had a student meet their target then you could count them toward your growth. The SLO Progress Tracker (which really is a simple way of monitoring progress, but apparently we need to talk about more) would then calculate the number and percentage of students you had achieve growth. On the dashboard page is a scale:
| Scoring | |||||
| Insufficient Attainment | Less than 65% of students meet or exceed differentiated growth target | ||||
| Partial Attainment | 65 - 79% of students meet or exceed differentiated growth target | ||||
| Acceptable Attainment | 80 - 93% of students meet or exceed differentiated growth target | ||||
| Exceptional Attainment | At least 94% of students meet or exceed differentiated growth target | ||||
Of course our goal is for everyone to show some growth, but, being realistic, this may not be the case. It may also happen that you get some growth, but not to that next cut point.
There is a rubric at the end of the current summative evaluation that rates teachers as Emerging, Developing, Proficient, and Distinguished. This takes into account years in position, areas of concern, and the indicator rating from your growth plan. A rubric that includes SLO data would look something like this:
This isn't an official district document, but shows you how your data could impact where you fall in the grand scheme of things. So, if you had taught for 10 years, had no areas of concern, indicators of 6 or better, but only showed partial student growth, you may fall in the "effective" category rather than the "highly effective".
I know I've shown this video before, but it's worth sharing again.

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