Tuesday, June 25, 2019

Domo Arigato Mr. Roboto: Relationships and Data in a Blended Learning Experience



There's a line in the song Mr. Roboto... 


🎶 The problem's plain to see
Too much technology
Machines to save our lives
Machines, de-humanize 🎶

Many of us, including myself, once derided cold data's "over use" because it seemed to dehumanize the student.  My son, Charlie, for example, is more than his STAAR score or IQ or whatever... Grades are incredibly subjective by nature, especially if you consider what gets weighted more and what gets weighted less.

Which is a TRUER indicator of student learning: homework grades, test grades, standardized tests, conversations, exit tickets???  Further, how do we weigh those assessments so that the final number is a true indicator of the student's actual understanding???  UGH!!!

But... the aforementioned data CAN help refine a process to help scaffold learning to push my son to achievement more than he is currently.  Data can help teachers create personalized learning experiences that create greater engagement and frame the learning.

Data is a tool for learning, not the goal of learning.

As you've read through these blog posts, we certainly hope that you've picked up on a concept that some supporters of blended learning under emphasize.  Namely, at the core of the personalized learning experience that blended learning affords is the duality that data tracking and conversations can inform and build relationships and relationships help guide student achievement via data analysis.

The benefits to implementing blended learning lessons, those that incorporate student/teacher analysis of data in order to personalize the learning experience via flexibility in pace, place, path, time are aplenty.  Did I just use the 1930's farmer term "aplenty" in a blended learning blog?  You betcha buttons I did!

Those benefits, which include higher student engagement on tasks, higher student achievement, further development of future ready skills, and so on, are rooted in how teachers prepare for student learning via breakdown of data.  The data, formative or summative, can take on the guise of exit tickets, quizzes, exams, discussions, and other assessments.  In our Blended Learning Academy, we work with teachers on the idea that none of their old quizzes or exams need to be thrown out when blended.  They simply need to be re-purposed.  The exam, for example, can now be used as both a pre-assessment and post-assessment to gauge growth in a blended lesson.

In one of our recent Blended Learning Academies for administrators, Shelly and I did an immersive activity.  Our participants were immersed in a blended lesson that focused on federalism.  We gave them a pre-test on the topic with 5 fairly basic questions.  Used the responses to group our participants.  Each group was then put at one of three stations.  Station 1 was with me, the government teacher where I would walk them through the concept of federalism, introduce relevant topics, and assess via high level questions all the way through.  Station 2 had participants researching five Supreme Court cases that dealt with federalism disputes between the state and national governments.  They were asked on an instruction card to look for patterns and talk about those patterns.  Station 3 had students discussing in small groups what a future federalism court case or issue might be.  They had to talk about the future possibilities and come to a consensus on the topic and how the Supreme Court might rule.

Each group's size was determined by the participants performance on the pre-assessment (the session average was a 65).  The participants who scored higher on the assessment were given more autonomy, the middle group had a scaffolded exercise to guide them, and the lower group was with me, the teacher.  We also rotated.  The first rotation was longer since I wanted to the lower scorers to stay with me a bit longer.  The second rotation was a little shorter. The third rotation was about as long as the second.

We then pulled the group back together after the rotations and had them take the post test.  The session average at that point was a 95 with the lowest grade being a 60 and the next lowest being an 80 and every else scoring a 100.

We then all debriefed, first, about federalism and the lessons we had learned.  Second, we talked about the station rotation model that we used and how it could be co-opted into a variety of classes and resource rich or poor circumstances.

All of these conversations were centered around the particular types of data we had collected.  Pre quiz, post quiz, conversations, peer to peer reflections, and even body language.

At the end of the day, participants stayed behind to talk and the conversations tended to gravitate to that lesson and how the data drove the experience and the experience was a social one where learning occurred at high level.  The participants were very friendly with me, the teacher, and we all felt social connections, but to be honest I didn't ask them at any point about their favorite color or food or where they grew up.  Our social bond presented itself as a tangent to the data break down and my scaffolding of their learning experience.  They learned something new and seemed exhilarated by the experience and felt a social connection to me... but that social connection was steeped in the content and data.  I hope that makes sense.

The data in essence gave the context to a rich learning experience that allowed us to bond over the discovery of surprising facts about federalism.

So in the blended learning environment, data is not an end in and of itself.  The data is used to personalize the learning experience for each student so that they can achieve greater heights in F2F and online modalities.  The two worlds blend better together when data informs what needs to be online and what needs to be face to face.  Relationships grow because student's dendrites are being excited by experiencing success that is hand crafted (by their own hands hopefully) especially for them.  The analysis of data answers the question how should I teach, what should I teach, what should go online, what should be small group, what should be whole group, and so on.

Me gusta data. 🤖❤️

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