Peer Tutoring on Computers
When a student is working on the computers, they may ask a peer for help if they haven't successfully figured out how to solve a problem. I emphasize trying something first on your paper to explain what you have tried to your buddy, and ask for ideas they may have. Given the adaptive nature of our BL software, many students are encountering difficult content. I want my students to teach each other how to overcome challenges and persevere. This helps to create a sense of unity along with our motivational BL wall.
This (bi-weekly/tri-weekly) strategy is used to incentivize, motivate, and support my students in truly taking ownership for their own learning. During each Blended Learning Data Chat, I recognize students who are consistently performing at the highest levels (Top-5) per program with a certificate and a small prize of their choice like a book, poster, or eraser. I then have the highest performing students come up so we can take a group selfie (with a selfie stick, of course), and then print each student a copy of the picture. The last part of the Blended Learning Data Chat is the recognition and celebration of our top performers who receive a certificate and take a picture to take home. They also receive a poster, eraser, book, or small prize of their choice for their effort and consistency.
In my class, students are allowed to offer peer support on the computers. My students identify what is a problem or a need they have and it is my job to identify who might be their support. This has helped my students offer guidance and help in a structured way. Peer support on the computers has helped with increasing academic discourse and social interactions as well as give a structured place for students to provide assistance to each other. Cooperative learning and reciprocal teaching are benefits to this strategy as well.
I use weekly Data Chats with my students as a powerful way to motivate and encourage them. The strategy allows us to celebrate successes and identify challenges. When analyzing data from the blended programs, I work hard to identify what my students should know (i.e., what data to pull out and share with students) and to give my students the appropriate next steps for improving their scores. In each Data Chat, I try to gather student input on what's challenging them and to have my students articulate the strategies that work for them.