Articles from the Speak Agent team that provide classroom resources, implementation strategies, research-based perspectives, and updates regarding our Content+LanguageSM platform.
New year, new reports! Over the past several weeks we have added a whole bunch of new ways to get progress data at the student, class, and school level. Here are all the goodies in version 3.2.0:
Level Up is a new formative assessment tool attached to each Speak Agent lesson in select middle school and soon high school courses. This article describes what the new tool does, how it works, and when it will be added to our courses.
Welcome back! Here are the enhancements we've made in version 3.1.1 (minor release):
"You want me to do what now?" Imagine this: You are a school or district administrator and the students in your district have fallen behind in math. You've found the perfect edtech solution to help bridge the gap. But when you share this solution...
Imagine this: You'd like to take a PD course, but you don't have the time or can't fit it into your schedule. Problem solved!
Welcome back! We're excited to share all the enhancements we've made in version 3.0:
As you prepare for the new school year and figure out which programs to implement, it’s critical to choose an edtech solution with proven results. Research shows Speak Agent’s Math+LanguageSM and Science+LanguageSM programs have achieved a 210%...
In this article, you’ll find an overview of how embedding academic language learning strategies in content area instruction benefits all learners. You will learn about three critical best practices for content and language integration: creating and...
Teaching and learning through a pandemic has brought to light several challenges that marginalized learners face, one of the most prominent being the widening language gap. In response, teachers are often scrambling to find and create resources to...
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Speak Agent received support from National Science Foundation award 1632488, U.S. Department of Education award ED-IES-15C0027, and NIH SBIR award 1R43ES031433-01.