Announcements

  • Massachusetts Middle School CS Integration Opportunity

    Dear CSTA teachers,

     Are you curious about Machine Learning (ML)? Would you like to learn about it and bring some machine learning ideas to your students -- integrated with your curriculum?

     We are looking for middle school teachers of math, science, social studies, language arts and other non-computer science subjects. Coding experience is not needed nor will be involved in this project!

    As a Computer Science teacher, we're looking for you to partner with a subject-area teacher in your school—you'd both participate as a team. Or, if you want to integrate ML into your non-CS class, then you could join individually.

    This online program is a research study to investigate how we might design learning materials and activities that support teachers’ integration of machine learning in core subjects. You will:

      -- Explore a few machine learning software tools

      -- Brainstorm connections between machine learning to your curriculum topics

      -- Prototype an idea for bringing machine learning to your students

      -- Share your experiences with colleagues and program researchers

    You’ll complete short surveys along the way and a post-program interview to share your perspectives. Participants will receive a $500 stipend.

    You’ll need to be available (virtually) on these dates. Each meeting is from 3:00 PM to 4:30 PM:

    (1) Wed Mar 29; (2) Wed Apr 12; (3) Wed Apr 26; (4) Wed May 24. The first two meetings we’ll use computer-based tools and “unplugged” manipulatives to demonstrate machine learning concepts. At the third meeting we’ll brainstorm and co-design curriculum integrations, which you’ll then bring to your students. On the last day, we’ll share results from the classroom work.

    To join, please fill out the form here:

    Or, for more information, contact Fred_Martin@uml.edu. Thank you!

    Yours,

    Fred Martin, fred_martin@uml.edu

    Ismaila Sanusi, ismaila_sanusi@uml.edu

    Joseph Gonzales, joseph_gonzales@uml.edu

    Ruizhe Ma, ruizhe_ma@uml.edu