𝙏𝙬𝙤-𝘿𝙖𝙮 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩 𝙁𝙤𝙘𝙪𝙨𝙚𝙨 𝙤𝙣 𝘽𝙚𝙣𝙘𝙝𝙢𝙖𝙧𝙠 𝘼𝙨𝙨𝙚𝙨𝙨𝙢𝙚𝙣𝙩𝙨, 𝙏𝙞𝙚𝙧𝙚𝙙 𝙄𝙣𝙩𝙚𝙧𝙫𝙚𝙣𝙩𝙞𝙤𝙣, 𝙖𝙣𝙙 𝘼𝙄 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣
The Multilingual Learners (ML) Department hosted a two-day ESL professional development (PD) training (Sept. 18-19) for elementary and secondary ESL educators from across the district, held in the PDRC large room and facilitated by Harjot Kaur, ML Data and Testing Specialist.
According to Danie Orelien, director of the ML department, 𝙩𝙝𝙚 𝙨𝙚𝙨𝙨𝙞𝙤𝙣𝙨 𝙬𝙚𝙧𝙚 𝙙𝙚𝙨𝙞𝙜𝙣𝙚𝙙 𝙩𝙤 𝙨𝙩𝙧𝙚𝙣𝙜𝙩𝙝𝙚𝙣 𝙞𝙣𝙨𝙩𝙧𝙪𝙘𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙥𝙧𝙤𝙫𝙞𝙙𝙚 𝙚𝙙𝙪𝙘𝙖𝙩𝙤𝙧𝙨 𝙬𝙞𝙩𝙝 𝙩𝙝𝙚 𝙩𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙨𝙩𝙧𝙖𝙩𝙚𝙜𝙞𝙚𝙨 𝙣𝙚𝙚𝙙𝙚𝙙 𝙩𝙤 𝙗𝙚𝙩𝙩𝙚𝙧 𝙨𝙪𝙥𝙥𝙤𝙧𝙩 𝙩𝙝𝙚 𝙙𝙞𝙨𝙩𝙧𝙞𝙘𝙩’𝙨 𝙜𝙧𝙤𝙬𝙞𝙣𝙜 𝙥𝙤𝙥𝙪𝙡𝙖𝙩𝙞𝙤𝙣 𝙤𝙛 𝙢𝙪𝙡𝙩𝙞𝙡𝙞𝙣𝙜𝙪𝙖𝙡 𝙡𝙚𝙖𝙧𝙣𝙚𝙧𝙨.
𝐃𝐚𝐲 𝟏: 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭𝐬
Orelien said Day 1 focused on introducing the district-wide implementation of K–12 Benchmark Assessments for Multilingual Learners. The training emphasized the use of data to guide instruction, allowing teachers to identify student needs and target supports more effectively.
Through discussions, collaborative planning, and interactive activities, educators explored ways to deliver high-quality, data-driven instruction that promotes academic growth and equitable learning opportunities for all multilingual students.
𝐃𝐚𝐲 𝟐: 𝐓𝐢𝐞𝐫𝐞𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐞𝐧𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐈 𝐢𝐧 𝐭𝐡𝐞 𝐂𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦
On Day 2, the focus shifted to tiered intervention strategies using the LinkIt platform. Educators were trained to use the platform to analyze student performance and plan targeted interventions at multiple levels of support.
The training also highlighted the growing role of AI tools in education, demonstrating how these resources can be integrated into lesson planning to enhance student engagement, differentiate instruction, and make learning more accessible.