# data[].attributes.body
Math:
iready- 14% (8/26)
screener- 5%
GMAS- 2

Math: DNQ
Iready- 42% (12/22)

# data[].attributes.body
Reading-
iready- 26% (8/23)
GMAS- 1
Lexile-550

Reading:
Iready- 25% (12/22)
Lexile- 375
Screener-Auto Rdg 86%
aRdg-15%
GMAS-1

Math-
iready - 10% (8/26)
GMAS-1

Math:
Iready- 9% (12/22)
Screener-9%

# data[].attributes.body
Reading-ESOL
iReady-

Math-T3
iReady- 7%
screener-12%

# data[].attributes.body
Math
iready-  14% (8/25)
screener-24%
GMAS- 2

Math: DNQ
Iready- 13% (12/22)
Screener-42%

Reading: ESOL?
Iready- 7% (12/22)
Lexile- 355
Screener-6%

# data[].attributes.body
Reading-
iready- 15%(8/23)
screener- 6%
GMAS- 1
Lexile-445

Reading:
Iready- 16% (12/22)
Lexile- 525
Screener-8%

Math-
iready - 14% (8/25)
Screener: 19%
GMAS-2

Math: DNQ, but already T3
Iready- 16% (12/22)
Screener-53%
MAP-30%

# data[].attributes.body
Reading-T3
iReady 13% (8/24)
GMAS 1
Lexile-410

Reading
iReady-16% (12/22)
screener-aRdg 7% Auto Rdg 9%

Math-
iready - 7% (8/26)
Screener: 6%
GMAS-2

Math-
iReady-6% (12/22)
screener-33%
MAP-3%

# data[].attributes.body
Reading
iready- 22%  (8/30)
GMAS- 1
Lexile-515

Reading:
Iready- 15% (12/22)
Lexile- 550
Screener-12%

Math-
iready - 15% (8/30)
GMAS-1

Math:
Iready- 6% (12/22)
Screener-29%
GMAS-1

# data[].attributes.body
Reading-T2
iready- 28% (8/23)
Screener-14%
GMAS- 1
Lexile-570

Reading
iReady- 30% (12/22)
Lexile-
Screener-aRdg 15% Auto Rdg 12%
GMAS-1

Math:DNQ
iReady-35%
screener-25%

# data[].attributes.body
Reading-
iready- 34% (8/23)
screener-20%
GMAS- 1
Lexile-620

Reading-DNQ, but already T3
Iready- 63% (12/22)
Lexile- 850
Screener- aRdg 8% Auto Rdg- 16%
MAP- 41st%

Math-
iready - 10% (8/26)
GMAS-1

Math:
Iready- 15% (12/22)
Screener-CBM-18%
MAP- 28th%

# data[].attributes.body
MOVING TO TIER 3 FOR MATH

Math
iready-  1%(8/25)
GMAS- 1

Math
Iready- 2% (12/22)
Screener-7%

Reading-ESOL
iReady-11% (12/22)

# data[].attributes.body
T3 soon
Reading-
iready-  1% (8/23)
GMAS- 1
Lexile- 65

Reading
iReady- 3% (12/22)
Lexile-
Screener-aRdg 1% Auto Rdg 3%

Math- DNQ
iready - 16% (8/25)
screener-39% (9/9)
GMAS-2

Math
iReady- 4% (12/22)
Screener-15%

# data[].attributes.body
Math
iReady-22% (12/22)
screener-9%

Reading-DNQ
iReady-63% (12/22)

# data[].attributes.body
Math -DNQ
iReady 4% (8/25)
screener 36%

Math
iReady-25% (12/22)
screener-
MAP-14%

Reading-DNQ
iReady 24% (8/26)
screener 68% (8/29)

Reading
iReady-20% (12/22)
screener-aRdg 13%

# data[].attributes.body
Math
iReady-23% (12/22)
screener-7%

Reading-DNQ
iReady-41% (12/22)

# data[].attributes.body
Reading-
iready-  8% (8/23)
GMAS- 1
Lexile-310

Reading
Iready-8% (12/22)
Screener- aRdg 11%

Math-
iready - 20% (8/25)
Screener: 10%
GMAS- 2

Math
Iready-16% (12/22)
Screener-18%

# data[].attributes.body
Math
iReady- 11% (9/4)
screener-23%

Math:
Iready- 11% (12/22)
Screener-22%

Reading-DNQ
iReady - 35%

Reading:
Iready- 23% (12/22)
Lexile- 510
Screener- 38%
MAP-19%

# data[].attributes.body
Math-
iReady-15% (8/26)
GMAS-1

Math
Iready- 17% (12/22)
Screener- 9%

Reading:
Iready- 12th% (12/22)
Screener-7%

# data[].attributes.body
Reading
iready- 30% (8/23)
Screener- 18% (8/29)
GMAS- 1
Lexile-580

Reading- T2
Iready- 17% (12/22)
Lexile- 575
Screener-aRdg 8% Auto Rdg 28%
GMAS-1

Math-
iready - 10% (8/25)
GMAS-1

Math: T3
Iready- 31% (12/22)
Screener-9%
GMAS-1

# data[].attributes.body
Reading
iready-   13% (8/29)
screener- 11%
GMAS- 1
Lexile-515

Reading
Iready- 13% (12/22)
Lexile- 480
Screener-aRdg 16%

Math-
iready -  5% (8/29)
GMAS- 1

Math
Iready- 17% (12/22)
Screener-4%

# data[].attributes.body
T2
Math
iReady-  15%(8/25)
GMAS- 1

Math
Iready- 17th% (12/22)
Screener-12%

Reading - DNQ
iReady 45% (8/27)
GMAS -2

Reading: DNQ
Iready- 30th% (12/22)

# data[].attributes.body
Math:
Iready- 16th% (12/22)
Screener-4th%

Reading
Iready- 20th% (12/22)
Screener-12%

# data[].attributes.body
Math-
iready- 20% (8/26)
GMAS- 1

Math:
Iready- 15% (12/22)
Screener-12%
MAP-5%

Reading -DNQ
iReady 38% (8/27)
GMAS-2

Reading:
Iready- 25% (12/22)
Lexile-  625
Screener-19%

# data[].attributes.body
Math
Iready-8% (12/22)
Screener-1%
MAP-1

# data[].attributes.body
Math
iready- 10% (8/25)
screener- 16%
GMAS- 2

Math:
Iready- 20th% (12/22)
Screener-18%

Reading-DNQ
Iready-84%

Reading: DNQ
Iready- 60% (12/22)

# data[].attributes.body
Reading-
iready- 28%(8/23)
Screener- 12% (8/29)
GMAS- 1
Lexile-560

Reading:
Iready- 21% (12/22)
Lexile-  555
GMAS-1

Math-
iready - 38% (8/25)
screener-13% (9/2)
GMAS-1

Math: DNQ
Iready- 32% (12/22)
Screener-59%

# data[].attributes.headline
Joanna Rickerson (Lee) *Lee & Woz decided she didn't need to be T2.

# data[].attributes.subject
Joanna Rickerson (Lee) *Lee & Woz decided she didn't need to be T2.

# data[].attributes.body
Math
Iready-21% (12/22)
Screener-15%

# data[].attributes.body
Reading-
iready- 9% (8/23)
GMAS- 1
Screener- 13% (8/29)
Lexile-325

Reading
Iready- 8% (12/22)
Lexile- 375
Screener-aRdg 10% Auto Rdg 5%

Math-
iready -  2%(8/25)
GMAS-1

Math
Iready- 5% (12/22)
Screener-1%

# data[].attributes.body
Math
iReady 13% (8/25)
screener- 13% (8/29)
GMAS-2

Math-DNQ
Iready- 15th% (12/22)
Screener-59%

Reading
iReady -12% (8/25)
screener-5%

Reading-
Iready-31st% (12/22)
Screener-aRdg 18% Auto Rdg 7%
GMAS-?
MAP-4%

# data[].attributes.body
Math
iready-  8% (8/25)
GMAS- 1

Math
Iready- 10% (12/22)
Screener-3%

Reading-ESOL
iReady-11% (12/22)

# data[].attributes.body
Math
iready-  14%  (8/30)
screener-6%
GMAS- 2

Math:
Iready- 15% (12/22)
Screener-9%

Reading-DNQ
iready-34% (12/22)

# data[].attributes.body
Math
iready- 23% (8/25)
screener- 20%
GMAS- 2

Math-
Iready- 15th% (12/22)
Screener-33%
MAP-19%

Reading-DNQ
Iready-26%
Screener- CBM-63%
AReading-28%
Auto Reading- 30%

Reading: DNQ
Iready- 34th% (12/22)
Screener-27%
MAP-46%

# data[].attributes.body
Reading
iReady-13% (12/22)
screener-47%
MAP-22%
GMAS-1

Math-DNQ
iReady-37% (12/22)
MAP-1%
GMAS-2

# data[].attributes.body
Math
iready- 22% (8/25)
GMAS- 1

Math-
Iready- 23% (12/22)
Screener-39%
GMAS-1

Reading-
Iready-35%

Reading: DNQ
Iready- 43%
Lexile-
MAP-62%

# data[].attributes.body
Reading
iReady-10% (9/13)
GMAS-1?

Reading
Iready- 12% (12/22)
Lexile-
Screener-
MAP-13%

Math
iReady-2% (9/13)
GMAS-1

Math
Iready- 2% (12/22)
Screener-1%

# data[].attributes.body
Math:
iready- 10% (8/25)
screener-10% (8/25)
GMAS- 2

Math:
Iready- 29% (12/22)
Lexile-
Screener-12%
MAP-14%