After I shared out my previous post, describing my confusion about making sense of certain types of data, the International Literacy Association (ILA) replied with a link to a recent report on this topic:
This is perfect timing for our #ILAchat this Thursday at 8:00 p.m. ET. Our discussion will focus on making data-informed decisions, which was also the subject of our recently published literacy brief: https://t.co/JbDJqbiYiX. Hope you can join us!
— ILA (@ILAToday) October 10, 2018
It’s a short whitepaper/brief titled “Beyond the Numbers: Using Data for Instructional Decision Making”. The principal authors, Vicki Park and Amanda Datnow, make a not-so-provocative claim that may still cause consternation in education:
Rather than data driving the decision-making, student learning goals should drive what data are collected and how they are used.
The reason this philosophy might cause unrest with educators is that data-driven decision making is still a mainstay in schools. Response to Intervention is dependent on quantitative-based progress monitoring. School leaders too often discount the anecdotal notes and other qualitative information collected by teachers. Sometimes the term “data-informed” replaces “data-driven”, but the approach largely remains aligned with the latter terminology and practice.
Our school is like many others. We get together three times a year, usually after screeners are administered. We create spreadsheets and make informed decisions on behalf of our students. Yet students nor their parents are involved in the process. Can we truly be informed if we are not also including the kids themselves in some way?
To be fair to ourselves and to other schools, making decisions regarding which students need more support or how teachers will adjust their instruction is relatively new to education. As well, our assessments are not as clean as, say, a blood test you might take at the doctor’s office. Data-driven decision making is hard enough for professional educators. There are concerns that bringing in students and their families might only contribute to the confusion through the fault of no one.
And yet there are teachers out there who are doing just this: positioning students as the lead assessors and decision-makers in their educational journey. For example, Samantha Mosher, a secondary special education teacher, guides her students to develop their own IEP goals as well as how to use various tools to monitor their own progress. The ownership for the work rests largely on the students’ shoulders. Samantha provides the modeling, support, and supervision to ensure each student’s goals and plan are appropriate.
An outcome in releasing the responsibility of making data-informed decisions to students is that Samantha has become more of a learner. As she notes in her blog post:
I was surprised that many students didn’t understand why they got specific accommodations. I expected to have to explain what was possible, but didn’t realized I would have to explain what their accommodations meant.
“Yes, but older students are able to set their own goals and monitor their own progress. My kids are not mature enough yet to manage that responsibility.” I hear you, and I am going to disagree. I can say that because I have seen younger students do this work firsthand. It’s not a completely independent process, but the data-informed decision making is at least co-led by the students.
In my first book on digital portfolios, I profiled the speech and language teacher at my last school, Genesis Cratsenberg. She used Evernote to capture her students reading aloud weekly progress notes to their parents. She would send the text of their reflections along with the audio home via email. Parents and students could hear first hand the growth they were making over time in the authentic context of a personalized student newsletter. It probably won’t surprise you that once Genesis started this practice, students on her caseload exited out of her program at a faster rate. (To read an excerpt from my book describing Genesis’s work, click here.)
I hope this post comes across as food for thought and not finger-wagging. Additionally, I don’t believe we should stop with our current approaches to data analysis. Our hands are sometimes tied when it comes to state and federal rules regarding RtI and special education qualification. At the same time, we are free to expand our understanding and our beliefs about what counts as data and who should be at the table when making these types of decisions.