CAREIALL - Advancing Language and Literacy
Description
CAREIALL - Advancing Language and Literacy is a virtual, comprehensive professional development course created by a team of internal and external literacy experts from the Center for Applied Research and Educational Improvement at the University of Minnesota.
This course is designed to support educators in operationalizing the science of reading in their classrooms. Participants will gain an understanding of the latest evidence-based practices in literacy instruction, as well as the research that supports those practices and guides instructional decision-making. The elements of assessment, enabling MTSS systems, equitable and inclusive practices, and the science of teaching and learning are woven throughout so that educators see a clear connection to these common strategic priorities.
Participants can expect both asynchronous modules, and live, virtual follow-up sessions facilitated by members of CAREI’s literacy team.
Asynchronous Component:
- 8 asynchronous modules
- Approximately 45-50 hours of content
- Accessed through the Canvas platform
- Participants will need access to students for some application portions of their asynchronous work
- Each successive module will be unlocked after the live, synchronous session from the previous module has been completed
Synchronous Component:
- 1 live one-hour kickoff session
- 8 live two-hour sessions in small cohorts (25-50 per cohort)
- Live sessions accessed through Zoom
- Designed to connect directly to the content of the asynchronous modules and support participants in applying what they’ve learned in their own classrooms, schools, and districts
Objectives
1.Describe what research tells us about how students learn to read and how that body of research informs instruction?
2.Understand the language and literacy skills students need in order to become proficient readers and writers
3.Examine the instructional techniques and practices that are most likely to produce proficient readers
4.Understand how assessment and data can inform teacher practice and instructional decision-making