Blended Learning Model Overviews

Tanesha's Model Overview

I implement a station rotation model in my classroom. On a typical day, following brief whole-class direct instruction, my students will rotate through three blended learning stations: small group instruction, collaborative learning, and independent work. At each station, students work either with a teacher, a group of their peers, or individually towards content mastery. The key levers of my model are student self-pacing and small-group instruction. Through a mix of student choice and teacher facilitation, I have been able to activate my students’ learning and accelerate them towards higher academic achievement.

Number of Students: ~25 students

Number of Adults: one teacher; one paraprofessional

Length of Class Period/Learning Time: 45 minutes

Digital Content/Ed Tech Tools Used on a Regular Basis: Kahoot!; Plickers; PBWorks; Blackboard; Newsela; Edmodo; BrainPop & BrainPop Jr; Discovery Education Techbook; Padlet; Vimeo; Today’s Meet

Hardware Used on a Regular Basis: 25 ASUS T100 laplets with charging cart (1:1); Promethean Board

Key Features: station rotation; student agency

Tanesha Dixon
Wheatley Education Campus
Washington, DC


 

About this strategy

Prep Time:
Long
Subject:
Social Studies
Grade:
Eighth grade
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Learning Apps
Aaron's Digital Content and Tech Tools

There are an infinite number of digital content providers and tech tools and education programs a blended teacher can choose to use in his classroom. Check out how and why Aaron uses specific digital content and ed tech tools!


 
Independent Student Learning
Answer Keys

During an Independent Learning Zone session, every student in my blended classroom is working independently on a different set of problems. It's impossible for me to be an answer key for 25 different students doing 25 different problem sets, so I print out their respective answer keys in advance and give each student his or her about 5-10 minutes into the period. This empowers them to monitor their own academic performance and self-correct as they are completing their assigned task. 

 
Assessment & Data
Microgrouping

The grouping algorithm employed by School of One assigns students a new lesson every day based on the student's most current learning needs. The algorithm actually learns the students' needs from the previous day's exit ticket. One of the learning styles or lesson types, Live Investigation, assigns students to me who are ready for whatever the assigned skill is. However, within that group, there are still varying levels of ability. I can see all of this on my data report and then I can group within my group. I call this micro-grouping.

 
 
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