Data-driven decision-making practices in tutoring programs¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The Coaching Specialist "supports all data-driven decision-making practices (e.g., eligibility; graph interpretation; exit decisions)". This strategy embeds regular progress data review into tutoring so that decisions about which students receive tutoring, how progress is interpreted, and when students exit the program are made from assessment data rather than judgment alone.

Design Implications¶

Context¶

Requirements¶

• A Coaching Specialist or equivalent role with capacity for regular (e.g., monthly) coaching.
• Progress assessment data from the tutoring protocols.

Constraints¶

Target Learners¶

• Kindergarten through grade 3 students in supplemental tutoring

Target Learning Goals¶

• Literacy benchmark attainment and appropriate tutoring entry and exit decisions

Related Strategies¶

• Multi-level coaching structure for tutors: internal school coach plus program Coaching Specialist
• Data Driven Instruction
• Data Driven Inquiry
• Data-Based Decision-Making for Core Instruction
• Progress Monitoring

Examples¶

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Key Sources¶

• Reading Corps program description and evaluation summary. (2024). https://www.readingcorps.org