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Maynard presents MAP and MCAS results; attendance improving and curriculum shifts noted
Summary
District staff told the committee that attendance has rebounded to roughly 95%, MAP formative testing aligns with MCAS results, grade‑specific growth occurred (notably grade 8 and high school math and science), and curriculum changes and writing assessment gaps merit follow‑up.
District staff presented spring MCAS and MAP results and described recent attendance gains during the Nov. 7 meeting.
Chuck, the district presenter, summarized a decade of attendance trends and said focused outreach and a state grant helped re‑engage chronically absent students; the district’s overall attendance has rebounded toward 94–95%. He said chronic absence remains a concern for a minority of students and that staff are using targeted outreach, home visits and building‑level teams to address barriers.
On achievement, Chuck said Maynard’s MAP (formative) data aligns well with MCAS (summative) results and offers more actionable, real‑time guidance for teachers. He highlighted strong results at Maynard High School—ELA meet/exceed rates and math growth in the 70th+ national percentile—and noted grade‑level gains such as strong eighth‑grade performance. However, he and committee members agreed that writing assessments remain a gap in MAP and that the district should explore supplementary writing measures.
Committee members asked whether cohort effects or curriculum transitions explain some ELA variability, and staff noted recent adoption of new ELA and math materials and a planned literacy presentation for the elementary grades. Chuck emphasized MAP’s value as a short‑administration, teacher‑actionable assessment and cautioned that removing MCAS as a graduation gate (ballot change) may reduce high‑school test effort next year, increasing the importance of MAP for instructional decisions.
The committee requested follow‑up on: breakdowns for student subgroups (including black/African‑American students where small cohort size can skew percentages), possible writing assessments to fill MAP gaps, and the staffing/resources needed for macro‑level data analysis.
