Mid-Term vs Regents Data Analysis

Similarities and Differences

• Make the mock regents something completed in class (after curriculum is done (and observations) but before review - Late April/Early May) (3 days) Gather data on all students to inform what we review. 

💲Per session for grading after school instead of proctoring?

• Have a SWD and ELL Bubble question for teachers on zipgrade so we can collect even better data for those populations. 

• Work in criteria, constraints, trade-offs (engineering principles) into our units going forward as students are still getting these questions incorrect. 

• Explicit instruction on how to break down questions into parts. 

Example Checklist I use in my class:

1) Simplify questions in student friendly language to determine what is being asked. 

2) Break single question into parts. 

3) Number answers - Example

1)

2)

4) Create vocabulary list of words in the margin that should be used in the response

• Goal Setting- Let's have clear, realistic and attainable goals. On the June 2025 regents, 40.75% of short response questions were correct - lets have the goal of trying to bump that to 50% for the June 2026 regents. 

• Based on the mid-term, we have already greatly improved multiple choice (+21) increase. 

If we increase our Constructed Response correct percentage by only 10% - We would go up from a 63.2% (432 Students) pass rate to ~70.9% pass rate (486). (Without counting IEP 55+) 

• Current passes (≥65): 432 students (63.2%)

• Estimated passes if SR avg = 50%: ~485 students (~70.9%)

✅ Rough increase: ~53 more students passing