STRATEGY

Conduct research on relationship-based personalized instruction to advance the knowledge base, refine practice in the field, inform tools and advising, and effectively scale an evidence-based intervention.

EFFECTIVENESS

Identify and test the characteristics that drive effectiveness in high-impact tutoring

SCALE

Evaluate novel models with potential for scale

Understand implementation challenges and approaches for overcoming challenges

INNOVATION

Employ new methods to advance what we know about effective teaching & learning

RECENT FINDINGS

  • Students arrive in classrooms with vastly different levels of preparation. Within a single classroom, students may differ substantially in their prior knowledge, learning pace, and mastery of the curriculum. Teachers must deliver instruction to the entire class while attempting to address these… Read more.

  • AI tutoring platforms offer a promising path to scaling personalized instruction, but only if students use them. We report findings from two randomized controlled trials in which elementary students were assigned to use an AI literacy platform independently or with an in-person tutor focused on… Read more.

  • Student absenteeism surged during and after the pandemic, harming engagement and achievement. We evaluate the impact of Washington DC’s High-Impact Tutoring (HIT) Initiative—designed to mitigate learning loss through targeted academic supports—on student absenteeism. Using daily attendance data… Read more.

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