Research Studies

Experts view the findings as a cautionary tale of how tutoring can go wrong.

The district had to wait on background checks for tutors, many students were still chronically absent and the tutoring sessions often conflicted with other lessons or special events. As a result, students didn’t receive the 30 hours or more required under a state law mandating tutoring for those who failed the annual state test. Instead of five days a week as planned, 81% of the students attended tutoring three or fewer days, and most students worked with a different tutor every time they attended a session.

The findings reinforce the importance of protecting the time students are supposed to receive tutoring, said Elizabeth Huffaker, an assistant professor of education at the University of Florida and the lead author of the study.

High-dosage models — featuring individualized sessions held at least three times a week with the same, well-trained tutor — can still “drive really significant learning gains,” she said, “but in the field, things are always a little bit more complicated.”

Two studies from Stanford University’s National Student Support Accelerator released Wednesday used natural language processing technologies to review transcripts from tens of thousands of hours of virtual tutoring sessions. Their goal: to better understand exactly what happens between tutors and students in these sessions.

One study examines the impact of disruptions as revealed through tutor comments, such as “You can’t see me? I’m not sure why you can’t see me” or “Sorry. Did you say something? It was hard to hear.”

Researchers found that 19% of available time was lost to disruptions, whether from technological issues, distracted students, or background noise. Time lost to disruptions was even greater when tutors were working with more than one student, especially if one of the students entered the session late.

A new collaboration between Stanford’s SCALE and OpenAI, the creator of ChatGPT, strives to better understand how students and teachers use the popular AI platform and how it impacts learning

Education is one of the fastest-growing use cases of AI products. Students log on for writing assistance, brainstorming, image creation, and more. Teachers tap into tools like attendance trackers, get curriculum support to design learning materials, and much more.

Yet despite the rapid growth – and potential – a substantial gap remains in knowledge about the efficacy of these tools to support learning. 

A new research project from the Generative AI for Education Hub at SCALE, an initiative of the Stanford Accelerator for Learning, aims to help fill that gap by studying how ChatGPT is used in K-12 education. In particular, the research will examine how secondary level teachers and students use ChatGPT. 

A high impact tutoring initiative in Washington, D.C., showed promise for middle schoolers and those with extreme absenteeism, a new report finds.

Dive Brief:

• One-to-one tutoring can lower absenteeism rates by fostering student-teacher relationships and a sense of belonging, making students more willing to go to school, a recent report from the Annenberg Institute for School Reform at Brown University found.
• The study looked at the High-Impact Tutoring Initiative launched in 2021 to provide math and reading tutoring across 141 Washington, D.C., public K-12 schools — with the greatest focus on serving at-risk students.
• The positive effects were particularly strong for middle school students and students with extreme absenteeism rates in the prior year, who were 13.7% and 7% less likely, respectively, to be absent when tutoring sessions were scheduled, the study found.

FEV Tutor further evolved last year when it announced a new AI-enhanced platform, Tutor CoPilot. The tool makes tutors more effective by giving them guiding questions to ask students. In a randomized trial, the National Student Support Accelerator at Stanford University, which studies tutoring models, found that when less-experienced tutors used the AI support, student math scores increased an average of 9 percentage points.