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An AI-powered digital tutoring assistant designed by Stanford University researchers shows modest promise at improving students’ short-term performance in math, suggesting that the best use of artificial intelligence in virtual tutoring for now might be in supporting, not supplanting, human instructors.

The open-source tool, which researchers say other educators can recreate and integrate into their tutoring systems, made the human tutors slightly more effective. And the weakest tutors became nearly as effective as their more highly-rated peers, according to a study released Monday. 

You can’t argue with data. Research shows that high-dosage tutoring is one of the most effective ways to help students make academic progress. Yet few students actually receive it. A recent study from Stanford University demonstrated the many positive effects of tutoring, including increased reading and math scores, attendance and a feeling of belonging. Teach For America’s (TFA) tutoring program, the Ignite Fellowship, finds and develops tutors who connect virtually with students during the school day. Fellows, who are paid for their work, are supported by a school-based veteran educator to customize instruction. Seventy-one percent of the 3,500 students across the country being tutored by Ignite fellows meet their semester-long reading and math goals.

Since 2022, public schools in the District of Columbia have been working to mitigate Covid learning disruptions by establishing and ramping up high-impact tutoring (HIT) efforts. Data on the outcome of these efforts are beginning to emerge, and a new report from the National Student Support Accelerator (NSSA) shows some minimally encouraging signs.

NSSA is an offshoot of the Stanford Accelerator for Learning and Systems Change for Advancing Learning and Equity, an initiative focused on researching how tutoring can best benefit students. Its new report looks at the first full year of HIT implementation in D.C. schools during 2022–23. Tutoring efforts that year concentrated on math and English language arts (ELA) for students in all grades and was focused on schools—both district and charter—with the greatest concentrations of students identified as at risk. It’s interesting to note that “at risk” doesn’t generally mean academic risk for schools in the district, but rather centers primarily on student socioeconomic status and homelessness, in the context of this wholly-academic intervention. Pre-existing academic need appears not to have been a driving force in choosing where tutors were placed, although some data suggest that academic performance may have influenced teachers’ decisions on which students to refer for tutoring.

Research reveals the most effective ways to help young struggling readers through tutoring.

Tutoring has gained popularity as a strategy to improve the academic achievement of struggling students. Intensive, relationship-based tutoring is a highly effective academic support for many students, particularly in the early elementary years when school schedules and classroom routines are flexible (Groom-Thomas et al., 2023). For schools considering how to begin tutoring or where to prioritize resources, early literacy tutoring — which is both effective and feasible — is a good place to start.

Leaders also credit the recent growth to the expansion of high-impact tutoring, in which students who are the furthest behind get regular help in small groups. A Stanford University evaluation of the city’s programs recently showed they are helping students improve academically and attend school more often. But funding for the initiative is dwindling as millions of dollars in one-time pandemic relief runs out. This year, the city will spend $4.8 million to keep some programs running.