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How do K-12 Teachers use AI in the Classroom? Stanford Study Reveals Details

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A new study from Stanford University’s SCALE Initiative provides a detailed look at how artificial intelligence (AI) is becoming an integral part of K–12 education. The research, conducted in partnership with the AI-powered education platform SchoolAI, analysed the usage patterns of over 9,000 U.S. teachers during the first months of the 2024–25 school year. The findings reveal a growing reliance on AI for classroom tasks, underscoring its potential to transform teaching and learning.

Key Findings
  • Teacher Engagement with AI:
    • Teachers were grouped into four categories based on their activity:
      • Single-Day Users: 16% logged in only once.
      • Trial Users: 43% used the platform for 2–7 days.
      • Regular Users: 41% engaged consistently for 8–49 days.
      • Power Users: 1% logged 50 or more active days.

Over 40% of teachers became Regular or Power Users, indicating sustained adoption of AI tools far above industry benchmarks where retention rates often hover around 30%.

  • AI Use During Peak Hours:
    • Most activity occurred during weekday mornings, reflecting AI’s integration into active teaching schedules rather than after-hours planning.

This highlights the importance of tools that fit seamlessly into teachers’ busiest periods, offering immediate support during classroom hours.

  • Popular AI Tools:
    • The AI platform being trialled offers three main tools:
      • Teacher Productivity Tools: Used for creating lesson plans, quizzes, and resources (37% of usage).
      • Teacher Chatbot Assistants: Help with grading, brainstorming, and administrative tasks (27%).
      • Student Chatbots: Designed for direct student engagement (23%).

Power Users spent over half their time on teacher-support features, while Regular Users transitioned from primarily using student chatbots to teacher-focused tools by their 15th day.

  • Teacher Testimonials:
    • Educators report tangible benefits. For example, Larisa Black, an Earth Science teacher, shared that AI-enabled student chatbots allow learners to access personalised help after school while providing her with valuable insights into their challenges.
    • School districts like Ottawa Catholic School Board have seen over 4,000 AI-powered “spaces” created for personalised student learning in just five months.
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Implications for Schools

The findings suggest that AI is no longer an experimental tool but a practical addition to teachers’ workflows. By reducing administrative burdens and enhancing resource creation, AI allows educators to focus on instruction and student engagement. The study also points to the need for school leaders to address key challenges, including teacher training, ethical guidelines, and data privacy, to maximise AI’s benefits responsibly.

The Path Forward

The SCALE Initiative plans to expand its research, focusing on AI’s direct impact on student learning outcomes. Early results already highlight three critical takeaways for school leaders:

  1. AI tools must integrate seamlessly into teachers’ routines and provide immediate value.
  2. The busiest periods, such as weekday mornings, are the ideal time for AI interventions.
  3. Features that save time and reduce administrative tasks drive deeper adoption.

As more K–12 classrooms embrace AI, the focus will shift from debating its place in education to optimising its role in improving teaching efficiency and student outcomes.

For more details, read the full study here: Stanford Study Reveals AI’s Growing Place in K–12 Classrooms.

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SEAN YEO

Sean has spent the last 10+ years working in the development, communication and delivery of curriculum across a multiple of areas including technology education, supplemental education, English education and the education of 21st century skills.

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Having lived in Asia since an early age, Sean is trilingual and specialises in taking international educational developments and applying them in a relevant way to Asian education environments.

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