Higher Education Institution
How Tutor Co-Pilot Systems Scale Teaching Capacity Worldwide
Stanford’s National Student Support Accelerator ran the largest randomized trial to date. Researchers embedded tutor co-pilot systems within 900 tutors serving 1,800 students. Overall mastery rose four percentage points over control groups. Moreover, students paired with lower-rated tutors gained nine points. World Bank teams replicated positive effects in Nigerian secondary English classes. The AI assistant there delivered 0.31 standard deviation growth within six weeks. Consequently, analysts equated the short program to almost two years of schooling.
Susanna Loeb is named to the 2026 RHSU Edu-Scholar Public Influence Rankings
Susanna Loeb is named to the 2026 RHSU Edu-Scholar Public Influence Rankings, ranking the 200 university-based scholars in the United States who had the biggest impact on educational practice and policy last year.
Achievable
Achievable offers a modern test preparation program built to help learners pass high-stakes exams quickly and confidently. The platform converts the full exam curriculum into clear, digestible lessons supported by memory science techniques, such as spaced repetition and retrieval practice, to ensure learners retain more information in less time. An adaptive engine personalizes each study plan, continually updating what users should focus on next, while realistic practice exams and smart analytics track readiness and highlight gaps.
Why Hasn’t Tutoring Been More Effective?
The most recent of these, from researchers at Stanford University’s SCALE Initiative, examined math and reading tutoring programs in a large, urban district during the 2022-23 and 2023-24 school years. Neither led to overall gains in academic achievement.
But when researchers dug deeper into the data, they identified implementation problems that could be driving these null effects.
The findings add to a growing body of evidence around tutoring in a post-COVID landscape that suggests the effectiveness of a program hinges on the nitty-gritty details of how it is run—how often students meet with their tutors, for instance, or whether lessons are tailored to their specific needs.
Studying these implementation details could help school systems build more effective tutoring initiatives in the long run, said Elizabeth Huffaker, an assistant professor of educational leadership and policy at the University of Florida, and the lead author on the SCALE paper.
Are K-12 Students Getting the Evidence-Based Supports They Need? Progress & Challenges Four Years After the Pandemic
The report concludes that four years after the height of the pandemic, there is widespread use of evidence-based and people-powered student supports–such as high-intensity tutoring, mentoring, student success coaching, postsecondary transition coaching, and wraparound supports–in public schools across the United States. But, public school principals indicate that continued growth in these interventions is needed to meet the scale of student needs.
The report emphasizes that while implementation barriers exist to expanding evidence-based programs, there is a subset of schools that are proving that serving students at scale is possible, and outlines a range of resources and opportunities to support expansion of high-quality programs.
Work ED
The Work ED program is an adaptable cybersecurity education suite for K-12 schools and communities. It utilizes the Work ED App, a gamified microlearning platform, to deliver current courses on topics like injection attacks and cross-site scripting.
The program has three components:
Cyber Masterminds: Provides students with hands-on, scenario-based training that aligns with industry standards and offers microcredentials.
You've Paid for Tutoring. Here's How to Make Sure It Works.
Upon deeper review, however, these findings leave room for optimism. First, researchers found that lower-cost virtual tutoring models — approximately $1,200/student — were just as impactful as in-person models at $2,000/student, suggesting that tutoring can be less expensive without sacrificing impact.
Second, these findings highlight what's possible when students receivetutoring that comes closer to the definition of "high-impact." For example, the effect of tutoring was largest — about 3.5 months of learning — in a New Mexico district where students received more than 2,000 minutes of tutoring per year. Across all districts in the study, this amount most closely aligned with the recommendations for implementing a high-impact model.
How is ChatGPT impacting schools, really? Stanford researchers aim to find out
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.
What’s in a Contract? How Outcomes-Based Contracting Reshapes School District–Vendor Relationships
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