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 differences. Tutoring provides one response to this problem in the form of individualized or small-group instruction that supplements classroom learning. Tutors can monitor student understanding closely, provide immediate feedback, and adjust instruction in response to student progress. These features make tutoring particularly well suited to addressing unfinished learning and gaps in foundational skills.

Key Findings

1. Tutoring is one of the most effective education interventions studied.
   RCTs consistently show large impacts of tutoring programs on student achievement. Meta-analyses estimate average effects of between 0.29 and 0.37 standard deviations (s.d.) on student achievement, which makes tutoring one of the most effective interventions identified in the education research literature. Newer studies continue to show meaningful effects across in-person and remote contexts, and emerging evidence suggests that tutoring can impact student attendance, academic interests, and longer-term educational and career pathways.
2. Effective tutoring programs share several common features.
   Research suggests that the most effective tutoring programs share several characteristics, including frequent sessions, small tutor–student ratios, alignment with classroom instruction, use of formative assessment, and sustained relationships between tutors and students. Newer research has sharpened this conclusion by showing that dosage matters, that one-on-one tutoring often delivers the largest effects while small group tutoring can still be effective, and that curricular alignment appears to strengthen impacts.
3. Tutoring programs lose effectiveness when implementation fidelity declines.
   Evidence from both research studies and real-world implementations shows that tutoring programs are less effective when key design elements are not maintained. Common implementation challenges include scheduling constraints, staffing shortages, weak curricular integration, and difficulties maintaining dosage and tutor consistency. These constraints help explain why scaled programs often produce smaller impacts than those estimated in earlier efficacy studies, even when the underlying intervention remains promising.
4. Tutoring can be cost-effective relative to other educational investments, but cost-effectiveness depends on program design.
   The cost of tutoring programs varies widely, depending on tutor type, group size, dosage, and delivery format. Programs using paraprofessionals, university students, or remote delivery can reduce costs while still producing meaningful gains. However, the design changes likeliest to lower costs—such as larger group sizes, reduced dosage, and greater reliance on technology—are also the likeliest to reduce effectiveness. Understanding how costs can be lowered without impact being undermined remains an important and unresolved question for the field.
5. New technologies may help expand access to high-impact tutoring, but they also create risks.
   Emerging technologies, including scheduling tools, computer-assisted learning platforms, and artificial intelligence (AI) based tutor support tools, may reduce implementation barriers and improve instructional consistency. At the same time, some caution is warranted. The strongest evidence still points to human-delivered tutoring as the most reliable way to improve student outcomes, and the field continues to face the risk that technology will be used to strip tutoring of the relationships and personalization that drive engagement and learning.