Dates: February 1, March 1, and March 22, 2018

Time: 3:00–4:30 p.m. Eastern

Location: Webinar

Description: This three-part workshop series is designed to engage teams of educators in Connecticut in understanding how to effectively implement response to intervention (RTI), or scientific research-based interventions (SRBI), with English learner students. Participants will learn how to use appropriate, multiple, and varied data types to accurately identify the need for special education services among English learners.

• Session 1 (February 1) provides background on RTI and English learners, including collaborative, data-driven identification of students’ needs, as well as strategies for, and practical examples of, implementing Tier I supports.
• Session 2 (March 1) reviews the collaborative use of data for distinguishing between the sources of students’ difficulties as well as modifications for screening and monitoring progress appropriate for English learners.
• Session 3 (March 22) explores how long-term, team-based educator collaboration can improve data-driven decisions regarding identification of appropriate interventions for English learners.

Partnership or Research Alliance: Connecticut English Learner Research Partnership

Audience: This event is for Connecticut-based district and school administrators, English learner specialists, special education teachers, general education teachers, and other staff who are involved in decision making around the education of English learner students. Educators are encouraged to participate in the webinar series in school- or district-based teams in order to engage in shared learning around data sources and to support future collaborative decision making.

Participants should register individually, but we strongly encourage teams to meet together in person for all three sessions, as the series is designed for collaborative engagement among team members.

Speakers: Dr. Sarah C. K. Moore, Program Director, PreK–12 EL Education, Center for Applied Linguistics
Lindsey A. Massoud, Senior Research Associate, Center for Applied Linguistics