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Guidance director describes college‑admissions shifts, declines in early‑decision volume and use of AI to match students to programs
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Summary
The board heard a guidance presentation summarizing college‑acceptance trends (more students opting for large research universities), a roughly 10% drop in early‑decision applicants this year, expanded counseling strategies and examples of using AI to help students identify program fits and prepare clearer applications.
Christina Wilson, representing the district’s guidance and counseling team, updated the board on guidance office work, college‑admissions trends and the planning the district is doing to align academic offerings with the state’s forthcoming “portrait of a graduate.”
Wilson described the counseling advisory committee’s work to map competencies across courses and extracurriculars so students have multiple pathways to meet future graduation requirements. "We’re looking at every single course and we’re pulling out what competencies we feel like are really being met," she said, noting the design challenge of balancing rigorous content with broader skills such as communication and collaboration.
On college admissions, Wilson said the district saw fewer early decision (ED) applicants this year (79 ED applicants in the class of 2026 versus 103 last year, roughly a 10% decline) and strong interest in large public and research universities such as Penn State, Syracuse and Michigan. She explained several factors behind those trends, including new ED variants at some institutions and students favoring colleges without restrictive ED processes.
Wilson also outlined how the guidance office is using data and AI tools to support students: standardizing course names on transcripts to avoid abbreviations that could confuse algorithms or admissions readers, analyzing application profiles by major (engineering, nursing, computer science, business) and using AI to identify closely related programs that improve match and admission chances. She gave a case example in which AI helped identify a "public health engineering" pathway at Tufts that aligned with a student’s profile, enabling an acceptance with the option to transition to civil engineering later.
Board members pressed for improved methods to capture final matriculation data and suggested deeper departmental outreach to inform program-level preparation for college admissions. Wilson and administrators said they plan further data work, including dashboards to automate profile matching and more departmental visits to learn expectations from target colleges.
The presentation concluded with logistical notes about the advanced college website and upcoming opportunities for parent outreach and student supports.
