# data[].attributes.body
1. What was the intended goal of the meeting: review and analyze STAR data
2. What were our successes?  All teachers are on track to reach goal of 80% 1 year growth by the end of the year. Identified our bubble students. Identified the skills need more work on.
3. What did we learn? Identified specific standards that need to be a priority. STAR Parent reports printed for use at conferences.
4. What is our next goal? seek other ways to assess students (iPads and small group)
5. What is the focus of our next meeting? Discuss implementations of intervention activities.
6. Our next meeting will be: weekly PLC 2/21, 11am, Lower School Meeting room.

# data[].attributes.body
-IHWH number past 20
- Numbers +1 -1
- Counting on
- 10 frames
- App "Find Sums" - aligns with Singapore Math Curriculum.

# data[].attributes.body
-Buddy Reading with decodable books and learning record.
- Elkonin Boxes game and How many sounds game
- Sight word bingo, IHWH sight words.
- Sight word sea shell game.
- Pop games
-Moby Max
- blending cards- CVC
- word family games
- Who am I game- comprehension- character traits
- Word family game.
-

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- Look at Diagnostic Report for center planning
- Look at Screening Report for planning Intervention Groups

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- look at class screening report
- identify urgent intervention students, intervention, on watch groups for intervention block.

# data[].attributes.body
- Students attention
- Testing during the day
- Computer issues (not clicking next, headphones pop-out, don't answer on time, unable to use the mouse - fine motor skills, clicking whatever to finish faster, environmental distractions)
- maybe we can do small group testing
- Scholars should be taking the test on the iPads to decrease declines to make more user friendly.

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Struggling with structural analysis & paragraph-level comprehension

# data[].attributes.headline
Data Dig Overall outcome * ONLY STUDENTS WHO WERE TESTED (ELA)

# data[].attributes.subject
Data Dig Overall outcome * ONLY STUDENTS WHO WERE TESTED (ELA)

# data[].attributes.body
Below .47 growth
Andres: 2/17- 12%
Gonzalez: 2/16- 13%
Johnson: 0/19- 0%
Hunt: 2/19- 11%
Mason: 1/16- 6%
DePaola:

At .47 growth
Andres: 15/17- 88%
Gonzalez: 14/16- 88%
Johnson: 19/19- 100%
Hunt: 17/19- 89%
Mason: 15/16- 94%
DePaola:

Above .47 growth
0% across the grade

# data[].attributes.headline
Math - Absent Students/Test Not Recorded

# data[].attributes.subject
Math - Absent Students/Test Not Recorded

# data[].attributes.body
Mason (JJ, CD, DA, BR, KT)
Hunt (JBM, BC, SD, SF, EG, JH, RL, NM, JP, ER, QSW, KW, KS, SH, MB, DB)
Andres (EA, AB, JD, AD, MF, TH, DL, GMB, JRN, JC)
Sanchez (NT, GFM, CG, ZO, MW, RW)
Johnson (ET, JW, NCB, CE, SE, CS)
DePaola (AB, MK, JS, MV)

# data[].attributes.body
Sanchez's Roster
Remove I.G. from Gonzalez class add to to DePaola
Remove T.J from Johnson's class add to Gonzalez
Remove J.M (transferred)
Remove J.R (transferred)
Remove G.E (transferred)

Mason's Roster
Remove P.F. (transferred)
Remove N.W. (transferred)
Remove T.W. (transferred)

Johnson's Roster
Remove J.W. (transferred)

Andres's Roster
Remove L.M. (transferred)
Remove K.K  (transferred)

# data[].attributes.body
Mason (AD, BR)
Hunt (JBM, JP)
Andres (BJ, TH)
Sanchez (CG, PB, JFM, MW)
DePaola (NG, JS)

# data[].attributes.body
List identified bubble students  students just under 0.5 growth.
Andres: JD, EA, BJ (last test 11/14)
Gonzalez: MA, MS, CG (last test 11/14)
Johnson:
Mason: KT
Hunt: RL, JH
DePaola: AB, NG (last test 11/14), MK, JS (last test 11/14), MW