Need content to train your
LLM or GenAI tools?
We have 18 years of education data
GenAI Data Licensing 

 

BRN’s UCARAH project provides generative AI tool makers with credible and authoritative LLM training data to deepen your model’s understanding of the education community, and increase output accuracy and relevance. Using BRN’s datasets heighten your model’s ability to communicate in an authentic, human-like tone that resonates with educators from school leaders to classroom teachers.

 
BRN: The Pulse of Global Education
 

BRN owns the largest single archive of high-quality, recorded education discussions available to train or fine-tune GenAI models to improve reliability, accuracy, relevancy, authenticity, and tone.

 

For nearly two decades, we’ve been the ears on the ground, tuning into the evolving rhythms of the education community. Unexpectedly, we morphed into more than just a podcast network – we’ve become a global listening platform. Today, BRN stands as an unparalleled reservoir of deeper, more nuanced insights about the global education community. From the perspectives of the US Secretary of Education to the voice of local school teachers; the reflections of UNICEF’s Global Director of Education to the musings of college professors – BRN is where the world’s educators voice their interests, pressing concerns, and top priorities.

 
Frequently Asked Questions

BRN continues to produce new programming and has been updating the content weekly for 18 years. 

For 18 years, BRN has been hosting, recording, sharing, and archiving educator conversations in collaboration with the nation’s leading education associations. Our repository includes years of discussions from the International Society of Technology in Education (ISTE), the Association for Supervision and Curriculum Development (ASCD), the School Superintendents Association (AASA), the National Association for the Education of Young Children (NAEYC), The National Association of Elementary School Principals (NAESP), The National Head Start Association (NHSA) and more. BRN also hosts discussions for EdWeek and educators from PreK to higher ed, including US secretaries of education, and educators on five continents. Our production agreements grant BRN exclusive rights to the IP we produce with our partners.

The dataset is segmented by categories correlated to the content source, subject matter, and target audience. Categories include programming created for early childhood educators,  K12 educators, special education teachers, principals, school superintendents, education technologists, education researchers, school psychologists, reading specialists, school nurses, school business officials, and policymakers.

 

Subject matter content spans a comprehensive list of topics, including school culture, school leadership, professional development, technology integration, classroom management, digital literacy, project-based learning, assessment, collaboration, restorative practices, teaching English language learners, social-emotional learning, learning loss and recovery, digital citizenship, maker spaces, teaching teens and tweens, storytelling, student engagement strategies, artificial intelligence, game-based learning, personalized learning, student-centered learning, data privacy, remote learning, best practices, school business management, school nursing, student counseling, flipped and blended learning, and innovation.

 

The dataset is divided into three categories of accessibility:

    • Content available online
    • Content available via password access
    • Exclusive content that has never been released to the public *

* All BRN content is edited down to between 10 and 20 minutes from conversations that ran up to an hour or more. Depending on the years recorded, 50-80 percent of BRN archived content has never been released or accessible online.

BRN has over 5,000 episodes of recorded podcasts. Most of the recordings are in the WAV, and MP3 formats. We have some WMA and Mp4 video in the archives. 

GenAI models trained or fine-tuned with almost two decades of BRN conversations are uniquely positioned to.

 

  • Incorporate a deeper understanding of educators’ needs, values, and perspectives into GenAI models to yield more relevant and resonant outputs.
  • Improve contextualization by enhancing GenAI models with wider, more granular, historical context about educator sentiment and how it has evolved over 18 years.
  • Improve segmentation by identifying the unique pain points of different education stakeholders and their unique needs to provide a more personalized experience.
  • Make stronger connections by understanding the language, nuances and tone that resonates with educators.
  • Ensure more reliable outputs by tapping the credible and authoritative insights from the nation’s leading education associations.
  • Create more empathetic and relatable AI tools by incorporating the sentiments and emotions embedded in 18 years of educator conversations.
  • Build or strengthen community by mirroring how educators communicate within and between segments to facilitate better interaction and collaboration among users.
  • Incorporate diverse language patterns with training data that contain a wide range of language styles, accents, and dialects, allowing AI models to learn and understand diverse speech patterns.
  • Improved Natural Language Processing (NLP) by introducing subtleties such as sarcasm, humor, slang, and emotional undertones, leading to more human-like interactions.
  • Incorporate Idiomatic expressions: Exposure to various idiomatic and colloquial expressions enables the AI to use and understand them appropriately.
  • Improve emotional intelligence by learning from conversations where emotions were expressed helps AI recognize and respond to emotions more authentically, creating more supportive interactions.
  • Identify what works: Learning from past successful resolutions helps AI develop strategies that are more likely to satisfy users.
  • Recognize and respond authentically to the communication nuances peculiar to the education community.

 

The data is available for commercial and non-commercial use. All personally identifiable information will be redacted. There are restrictions on sharing the data with third parties or collaborators. Licensee must comply with GDPR, CCPA, and other relevant privacy laws.

 

There is API access to the datasets, and BRN offers tech support and access to domain experts to assist with integeration.

  • The era of freely scraping the Internet to feed AI models is quickly closing.
  • A spate of high-profile lawsuits is driving the shift to data licensing.
  • Makers of GenAI education tools can access high-quality, domain-relevant datasets while avoiding legal exposure.

There are several licensing options, including one-time, multi-year, data subset, and exclusive dataset licensing for a defined time period. Contact us to discuss your needs.

Get a competitive advantage

By training or fine-tuning GenAI models and tools with decades of educator conversations, model makers can differentiate their tools from competitors based on datasets that do not include authentic, interactive exchanges between educators. Their models can stand out by demonstrating keen insight into the social and cultural complexities of the education community. Using BRN datasets goes beyond surveys, and focus groups providing more robust understanding education issues, the authentic ways educators have responded, and how those responses have evolved over 18 years..

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