Connections to School Improvement Through the Work of PLCs continued
By Shelly Dason
Elementary principal, Gray (n.d.) stated during a principal roundtable discussion, "It is critical to have more people involved than the principal; people that will look at, watch and make decisions in the interest of kids." During the research phase, the elementary's leadership team assessed the building's present levels of performance. Data was assessed from a variety of sources and tools including: (a) Dynamic Indicators of Basic Early Literacy Skills (DIBELS), (b) progress monitoring for Response to Intervention (RTI), (c) math short cycle assessments, (d) Study Island data in reading and math, (e) student data folders / Individual Learning Plans (ILPs) goals tracked in reading and math, (f) Ohio Achievement Tests (OAT), (g) Data Driven Decisions for Academic Achievement (D3A2) tool for data, (h) Measure Up tool for subgroup data, and (i) Value Added tool for individual student data. The data gathered gave the leadership team a baseline for academic improvement.
During this meeting, the term action research was defined. Mills (as cited by Goldys, Kruft, & Subrizi, 2007), defined action research with the following statement:
What is action research? Any systematic inquiry conducted by teacher researchers, principals, school counselors, or stakeholders in the teaching/learning environment to gather information about how their particular schools operate, how they teach, and how well their students learn. Information gathered with goals of gaining insight, developing reflective practice, effecting positive changes in the school environment, and improving student outcomes and lives of those involved. (p. 60)
Calhoun defined action research in the March 2002 edition of Educational Leadership, with the following definition, "Action research is the avenue for creating professional learning communities whose members engage in problem solving and for attaining individual and collective goals" (p. 18). She added to the definition with, "The development of inquiry communities is what distinguishes action research from school improvement approaches whose focus is on initiatives such as a new curriculum or program" (p 20). According to Gordon (2006), as defined in the spring edition of Education Considerations:
Action research allows the school to set its own improvement goals and design its own improvement plan based in identified needs. School improvement and school wide action research merge when administrators and teachers agree upon a focus for school improvement, gather data on the focus area, set database school improvement goals, develop a collaborative action plan for meeting those goals, and gather evaluation data in order to measure progress and revise the action plan. (p. 17)
With a better understanding of action research, the elementary buildng's leadership team was ready to conduct action research by identifying a problem in reading and math that impacted student achievement. Key questions suggested by McTighe and Emberger were posed to facilitate the discussion: (a) What does the data reveal? (b) What data trends are apparent? (c) Do any anomalies present themselves? (d) Is the data consistent from various sources? (e) Are these the expected targeted results? (f) What action steps should be taken? And, (g) what data reflection questions can be posed? (as cited by Goldys, Kruft, & Subrizi, 2007)
The leadership team decided that the data revealed a disconnect in student learning on language arts extended response answers across the curriculum. The math data showed a lack of understanding and memorization of math facts from simple addition and subtraction in kindergarten to multiplication and division facts in fifth grade. The data trends were evident across the grade levels in both reading and math. The team had a hard time with looking at the data to see anomalies, however they decided this was where the value added piece to the data picture fit in. The students in the upper quadrant of scores on OAT tests were not necessarily our identified gifted students. With this information, the team realized that the gifted students, even though performing well, were not showing adequately yearly growth expected. After viewing various data sources including D3A2, OATs, Valued Added, Measure Up and in house diagnostics, the team verified the consistency and validity of the collected data. The fourth grade reading and math data did not meet the value added target. The fifth grade reading and math data did not hit the expected achievement goals. Reflection on the data occurred and new goals were set.
Other conditions for assessment literacy are the expectations of data utilization, analysis, and implementation for improved student learning at both the classroom and building levels. Often we hear about what students should know and be able to do. This is also true at the teacher and administrator levels. Teachers and administrators should know or be able to work with data for improved student learning. As discussed by Marzano, Waters, and McNulty in the book, School Leadership That Works (2005), schools work hard, but not smart in making a difference in student achievement. The leadership team decided to work smarter by doing the right work. The team set a building reading goal and math goal, which are specific, measurable, attainable, realistic, and time bound (S.M.A.R.T.) for the 2008-2009 school year (see Figure 1). The grade level PLC teams received year-end data, as well as baseline testing with the new school year's group of students. The grade level teams then set one goal in reading and one goal in math. The classroom teachers looked at the testing data at the beginning of the school year with their particular group of students and set one classroom goal in reading and one goal in math. The teachers also helped individual students set one goal in each subject based on their own level of performance. The students are tracking their own progress with charts and graphs through data folders known as Individual Learning Plans (ILPs). Teachers will track progress with data through classroom data centers known as dashboards. Grade level teachers will share progress in PLC meetings for discussions on interventions and strategies. The PLC chairs will then meet monthly with the building leadership team to see if we are on track with building goals.
As the teams set out to work smarter versus harder, they realized that there were many holes and questions in determining what a 4-point extended response looked like at each grade level. Also in question, was the level of math fact memorization expectation at each grade level. In other words, the benchmarks needed clarification and refining. A recent article, from the December 2008 issue of the Educational Leadership magazine is an example of what our leadership team was faced with. Barton and Coley's article amplified the problem of looking at data in isolation or chunks, versus seeing the whole data picture:
It's an old story. A group of blind people wants to know what an elephants looks like. One feels the elephant's trunk, another a leg, and another the tail. The first concludes that the elephant is like a snake, the second like a tree, and the third like a rope. It's impossible to get an accurate image of the whole elephant by examining only a few of its parts. This story illustrates the problem of getting a fix on student achievement. Like the elephant, the subject of student achievement is big. A few pieces of data can give an incomplete picture--or worse, a misleading one. (p. 30)
The leadership team members met and put the isolated chunks of data together in order to examine the holes at each grade level. The team came to a very important conclusion. They realized that the holes were learner-centered problems, not that the problems were the learners themselves! (Boudett, City & Murnane, 2008) With this in mind, the team focused on the building blocks of learning expectations at each grade level. The building blocks defined the benchmark expectation in reading/language arts (see Figure 2), and in math (see Figure 3). The grade level professional learning communities (PLCs), will take the next steps of developing rubrics based on the leadership team findings of benchmark expectations.
During the evaluation phase of the R.I.S.E.R. model, the leadership team will study results over time, evaluate the improvement plan results and reflect on the data gathered from the plan. This step is crucial for overall school continuous improvement. This evaluation phase actually closes the circle of the whole process and begins the research phase at the beginning of the process for a continued plan of action impacting student learning. Visit http://xserve.pleasant.k12.oh.us/staff/plc/Professioanl_Learning _Communities/PLC.html to learn more about the PLCs Action Research Plan for Pleasant Elementary.
Figure 1
GRADE LEVEL SMART GOALS FOR PLEASANT ELEMENTARY 2008-2009
Specific |
Grade level benchmarks in Language Arts Extended Responses and Math Facts will be met. |
Measurable |
Students will score a 3 or better on a 4pt. extended response rubric.
Students will score and 80% or higher on math facts mastery. |
Achievable |
Students will practice extended response questions/answers daily.
Students will practice math facts daily. |
Realistic |
Grade level tracking of these building goals will be tracked for growth over time as a visual in the front hallway. |
Time bound |
Mastery of grade level benchmarks by April/May 2009 |
Figure 2
BUILDING BLOCKS CRITERIA FOR A 4 POINT EXTENDED RESPONSE!
KINDERGARTEN
(Q-TIPS)
Q= "CUED" from a picture.
T= Sentence stays on TOPIC and makes sense.
I= INCLUDES a capital letter at the beginning of the sentence.
P= Sentence has PROPER PUNCTUATION.
S= SPACES between words in the sentence.
1st GRADE
(Q-TIPS)
Q= "CUED" from picture retelling cards.
T= Sentences stay on TOPIC and make sense.
I= INCLUDES correct high frequency words and other phonetic attempts.
P= Sentences have capital letters and PUNCTUATION.
S= SIMPLE SENTENCES in list or paragraph form.
2nd GRADE
(Q-TIPS)
Q= Restating the QUESTION in the opening sentence.
T= Sentences stay on TOPIC.
I= Sentences INCLUDE 3 details from the text or picture cues.
P= Sentences have capital letters and PUNCTUATION.
S- Close the written response with a SUMMARY sentences
3rd GRADE
(Q-TIPS)
Q= Restating the QUESTION in the opening sentence.
T= Sentences stay on TOPIC.
I= Sentences INCLUDE 3 details from the text.
P= Sentences have capital letters and PUNCTUATION.
S- Close the written response with a SUMMARY sentence.
4th GRADE
(Q-TIPS)
Q= Restating the QUESTION in the opening sentence.
T= Sentences stay on TOPIC.
I= Sentences INCLUDE 3 details from the text with proper sentence structure.
P= Make a PERSONAL connection and….
S- Close the written response with a SUMMARY sentence.
5th GRADE
(Q-TIPS)
Q= Restating the QUESTION in the opening sentence.
T= Sentences stay on TOPIC.
I= Sentences INCLUDE 3 details from the text with proper sentence structure.
P= Make a PERSONAL connection and...
S- Uses evidence from the text to draw conclusion for a SUMMARY.
Figure 3
THE BUILDING BLOCKS FOR MATH FACTS MASTERY
K-5TH GRADE
KINDERGARTEN
Counting to 100
Simple addition and subtraction facts with manipulative.
1st GRADE
Simple addition and subtraction facts with manipulatives. (First semester)
Simple addition and subtraction facts without manipulatives. (Second semester)
2nd GRADE
Addition facts mastery. (First semester)
Subtraction facts mastery. (Second semester)
3rd GRADE
Addition and subtraction facts mastery. (First semester)
Multiplication facts introduced and tracked. (Second semester)
4th GRADE
Addition and subtraction facts mastery. (Reviewed and tracked first semester)
Multiplication facts mastery (tracked throughout the school year.)
Division facts introduced and tracked. (Second semester)
5th GRADE
Multiplication facts mastery (first semester).
Division facts mastery (second semester).
References
Barton, P. & Coley, R. (2008, December). Measuring the achievement elephant. Educational Leadership,66(4), 30-34.
Boudett, K. P., City, E. A., & Murnane, R. J. (Eds.). (2008). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.
Calhoun, E. (2002, March). Action research for school. Educational Leadership 59(6) 18-24. Retrieved on November 29, 2008 from: http://www.sailforeducation.org/leadershipacademy /index.cfm?event=login
Goldys, P., Kruft, C., & Subrizi, P. (2007, March/April). Action research: Do it yourself! Principal, 86(4) 60-63: NAESP. Retrieved November 29, 2008 from http://www.sailforeducation.org/leadershipacademy/index.cfm?event=login
Gordon, S., Stiegelbauer,S. & Diehl, J. (2006, Spring). Year one of school improvement: Examples from nine schools. Educational Considerations, 33(2) 17-29. Retrieved on November 29, 2008 from: http://www.sailforeducation.org/leadershipac ademy/index.cfm?event=login
Gray, J. (n.d.). Managerial leadership: Principal panel. Retrieved November 27, 2008, from http://programs.educationalimpact.com/topics/index.cfm?ses =400975&& videoNum =1&CFID=33947&CFTOKEN=75319452
Marzano, R.J., Waters, T., & McNulty, B.A. (2005). School leadership that works: From research to results. Alexandria: ASCD.
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