Tutor

Tutoring programs exploded in the last five years as states and school districts searched for ways to counter plummeting achievement during COVID. But the cost of providing supplemental instruction to tens of millions of students can be eye-watering, even as the results seem to taper off as programs serve more students.  

That’s where artificial intelligence could prove a decisive advantage. A report circulated in October by the National Student Support Accelerator found that an AI-powered tutoring assistant significantly improved the performance of hundreds of tutors by prompting them with new ways to explain concepts to students. With the help of the tool, dubbed Tutor CoPilot, students assigned to the weakest tutors began posting academic results nearly equal to those assigned to the strongest. And the cost to run the program was just $20 per pupil. 

The paper suggests that tutoring initiatives may successfully adapt to the challenges of cost and scale. Another hopeful piece of evidence appeared this spring, when Stanford University researchers found that a “small burst” program in Florida produced meaningful literacy gains for young learners through micro-interactions lasting just 5–7 minutes at a time. If the success of such models can be replicated, there’s a chance that the benefits of tutoring could be enjoyed by millions more students.

In the past five years, the Texas district’s investments in staffing and high dosage tutoring are paying off.

That’s why the district piloted a virtual tutoring program in the 2020-21 school year. Middle school students were the first to participate. In spring 2021, the live virtual tutoring program expanded to serve 6,000 students in K-12, he said.

That same spring, Ector County ISD designated $10 million of its $93 million in federal pandemic relief funds to tutoring over the next three years, according to a report by university-based research nonprofits FutureEd and the National Student Support Accelerator.

“It’s much more than just the dosage that makes the difference in this type of tutoring,” said Kathy Bendheim, the director of strategic advising for the National Student Support Accelerator, which studies tutoring models. “You do it with a consistent tutor, and it’s not homework help—it’s intentional instruction based on data about where that student is on their academic journey and what their specific instructional needs are.”

High-impact tutoring has the strongest evidence base of any approach for improving student learning, and contributes to increased engagement and attendance. As far as proven education solutions go, it’s a pretty darn good one, and has rightfully been a bipartisan priority since the pandemic. 

But federal pandemic relief money that helped fuel the expansion of such programs dried up in September, and recent research has sparked debates about the high-impact tutoring’s effectiveness when implemented at scale. This includes an evaluation of Metro Nashville Public Schools’ tutoring program that reported small gains for students and a meta-analysis of large high-impact tutoring programs that showed challenges in maintaining evidence-based practices. 

An AI-powered tutoring assistant increased human tutors’ capacity to help students through math problems and improved students’ performance in math, according to a Stanford University study.

The digital tool, Tutor CoPilot, was created by Stanford researchers to guide tutors, especially novices, in their interactions with students.

The study is the first randomized controlled trial to examine a human-AI partnership in live tutoring, according to the researchers. The study examines whether the tool is effective for improving tutors’ skills and students’ math learning.