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Kyron Learning Logo

Kyron Learning

By our AI Review Team .
Last updated August 8, 2024

Kyron's AI-powered tutor helps fourth graders learn math through responsibly designed interactive video lessons

Overall Risk

Minimal

Learn more

AI Type

Designed for Kids

Learn more


 

What is it?

Kyron Learning provides video lessons with expert human teachers and interactions powered by conversational AI. This means that instead of replacing a human teacher with a chatbot, the conversational AI enables students to engage with the human teachers in a more interactive and conversational way. Kyron has engaged with a group of expert teachers who pre-record a set of instructional videos that combine lesson plans, their knowledge of typical student responses, and explanations of how they address common mistakes and misunderstandings. In a Kyron Learning session, these pre-recorded videos of human teachers take the student through a math lesson, asking questions to gauge a student's understanding of a particular math topic in a simulated one-on-one interaction. Students can then respond by text or speech. Kyron uses conversational AI technology to interpret student responses in order to choose the next appropriate video response that will progress the student along their learning path.

How it works

Kyron Learning uses conversational AI, a type of artificial intelligence (AI) that can simulate human conversation. It is made possible by natural language processing (NLP), a field of AI that allows computers to understand and process human language. Common applications of conversational AI include chatbots, virtual assistants, and customer support. While generative AI chatbots also exist (e.g., ChatGPT), the distinction here is that conversational AI bots are not generating new and original content. Instead, they analyze natural language inputs and provide contextually relevant responses that have often been predetermined.

Kyron’s main input is children’s speech, and for this it uses a speech recognition model. Speech recognition, also referred to as speech-to-text and automatic speech recognition (ASR), is a type of artificial intelligence (AI) that recognizes spoken language and translates it into text. This text can be used on its own and is also readable by other systems that use text as an input. Speech recognition works by analyzing audio, breaking it down into individual sounds, digitizing those sounds into a computer-readable format, and using an algorithm to predict the most suitable words, which are then transcribed into text. Speech recognition is not the same thing as voice recognition, which is a biometric technology used to identify an individual's voice.

Kyron combines conversational AI with something called dialog modeling. This allows Kyron to have control over the interactions between what students say and the videos that Kyron shows to them in response. One way to think about this is that effective dialog modeling should mimic a really great human call center agent. Just as you want a human agent to have the right information to handle expected conversation scenarios, they also need to understand less expected questions and be able to respond with helpful information. In the case of Kyron Learning, this means that the team has worked to match the intent of what students say with the right prerecorded teacher video in response.

Where it's best

  • We applaud Kyron Learning for its clear teaching principles.
  • The company's responsible AI practices, particularly when it comes to the choice of conversational AI over generative AI, and the focus on inclusion and diverse representation among the platform's teachers have contributed to the product's high rating.
  • The company's Participatory Disclosures provided a strong basis for our evaluation against the Common Sense AI Principles.
  • While many of the latest interactive AI tools rely on generative AI methods that can be difficult to fully control and trust, the content that students see on Kyron is entirely human-generated and determined, which essentially eliminates the possibility of outputting harmful content to the student.
  • Kyron ensures consistency and equality by providing identical responses to students for the same questions or errors.
  • Expert teachers are fully integrated in Kyron's end-to-end development.

The biggest risks

  • You say "toh-MAY-toh," I say "tuh-MAH-toh." Even though Kyron Learning is currently available in English and Spanish only, people speak those languages in many different ways that are always changing. This variation is shaped by many different regional, social, and contextual elements. This is especially true for what is called dialectical variation, in which grammar, vocabulary, and sound choices lead to many different ways to say the same words. Children's speech can vary even more. They have shorter vocal tracts, inaccurate articulation, they make syntax errors, and their pronunciation and grammar is still developing. Should Kyron’s speech recognition models struggle to recognize the wide variety of how children speak English and Spanish, this could not only hamper accuracy and make the technology more reliable, it could also amplify unfair biases.
  • Parents, caregivers, and teachers should closely monitor how well Kyron works for individual students to avoid unnecessary anxiety for students who may not be well served by the technology.

Limits to use

  • Keeping up with language variation is challenging. Even with a massive amount of speech data, it's a huge challenge to align any speech recognition model across the almost endless variation that exists in spoken language. Kyron uses Google's natural language processing (NLP) technology, which includes Google's extensive speech recognition capabilities. While this covers a lot of ground, it is unclear if this will work as well for children's speech as it does for adults. Kyron currently addresses this by working with a diverse set of schools across the U.S. This has helped the company to understand the different ways in which answers are expressed by children and update its models accordingly. As Kyron's user base grows, it may become more difficult for the product's speech recognition to keep up with the additional variations in language.

 

Common Sense AI Principles Assessment

The benefits and risks, assessed with our AI Principles - that is, what AI should do.

evaluations and </em><a class="link" href=https://www.commonsensemedia.org/ai-ratings/"https://privacy.commonsense.org/resource/privacy-ratings">ratings, which evaluate privacy policies to help parents and educators make sense of the complex policies and terms related to popular tools used in homes and classrooms across the country.</em></p> ">
  • Put People First

    Minimal risk

     

    • Kyron has centered the student experience in its research and design. The company has sought to build a tool that can meet students where they are, simulating aspects of a 1:1 tutoring experience in a safe, controlled way.
    • Notably, Kyron states that it is not trying to replace human teachers with simulated ones. Instead, the tool puts teachers and their expertise at the core of the platform, with the goal of bringing great teachers and instruction to more students.
    • Kyron has implemented social and emotional check-ins to assess how the students are feeling about the lessons.
    • While many of the latest interactive AI tools rely on generative AI methods that can be difficult to fully control and trust, Kyron's choice of AI method ensures more reliable content management. Kyron's recordings of teachers determine the lesson delivery, the questions posed, and the system's responses to student answers.
    • Kyron has not yet released information detailing which student profiles the tool is most or least effective for. The team is currently conducting effectiveness studies with pilot schools.
  • Be Effective

    Minimal risk

     

    • Kyron is conducting ongoing effectiveness studies that have shown positive results. According to Kyron, 75% of students give Kyron the highest rating, 93% of teachers would recommend it to other teachers, and very early measurements saw an 18% jump in the number of students who understood the content after the lesson vs. before the lesson.
    • Kyron has thoroughly involved expert teachers in the product development process. Educators were hired to develop content and lead the product's design.
    • As use of Kyron grows, it will be essential to evaluate its ability to strike a balance between acknowledging a learner's need for support and ensuring they don't feel underestimated.
  • Prioritize Fairness

    Low risk

     

    • Kyron ensures consistency and equality by providing identical responses to students for the same questions or errors.
    • Kyron has been intentional about diverse representation in its roster of teachers. Students can select their desired teacher, broadening their exposure to educators beyond their usual experiences. The adage "if you can see it, you can be it" is well supported by research, emphasizing the importance of representation in fostering inclusion and a sense of belonging.
    • Kyron has addressed the known challenges of speech recognition and NLP (see below) by working with a diverse set of schools across the U.S. This has helped the company to understand the different ways in which answers are expressed and update its models accordingly.
    • Speech recognition technology can be very difficult to get right, especially for those whose speech isn't recognized by the product. When AI speech-recognition models don't recognize diverse speech patterns like accents or dialects, it can lead to errors, or "false negatives." The converse, "false positives," can also happen, which in this case means the speech recognition model could recognize a word as correct when it was not. While both of these could hamper accuracy and make the technology less reliable, false negatives for Kyron can also amplify unfair biases. More so than adults, children's language structures and patterns vary, and they often have inaccurate articulation. If the system cannot comprehend them, it won't function as designed, potentially hindering their learning.
    • Even with a massive amount of speech data, it's a huge challenge to align any speech recognition model across the almost endless variation that exists in spoken language.
    • As Kyron's user base grows, it may become more difficult for the product's speech recognition to keep up with the additional variations in language.
  • Help People Connect

    Minimal risk

     

    • Given that Kyron is restricted to specific, prerecorded lessons, it is unlikely that learners will become addicted to the tool or encounter harmful content.
    • While we have real concerns about users developing parasocial relationships with a chatbot and believing it to be a genuine companion, the "bond" that students have been observed to form with their chosen teacher(s) in Kyron's video library can be a strong benefit. This is because the interaction is responsibly constrained to the pre-recorded video lessons, and the simulated interaction between actual humans supports an engaging learning environment.
    • For learners, Kyron is designed to be a one-on-one AI tutor, so it does not directly support or encourage kids to connect with others.
  • Be Trustworthy

    Minimal risk

     

    • The Kyron team has demonstrated use of multidisciplinary research in its product development, drawing insights from learning science, educators, technologists, researchers, parents, students, and direct, ongoing classroom observations.
    • Having an external expert assessment will be important when it comes to measuring how well Kyron works, for whom, and under what conditions.
  • Use Data Responsibly

    Minimal risk

     

    • Kyron's data collection and handling policies emphasize the protection of personally identifiable information (PII). For example, the company uses anonymized, de-identified data for AI model training.
    • It's essential to understand that each person's unique speech data is personally identifiable information (PII) and cannot be entirely anonymized. However, Kyron's interaction methods prompt students for specific answers to specific questions, which minimizes the amount of PII likely to be vocalized into the system.

     

    This review is distinct from Common Sense's privacy evaluations and ratings, which evaluate privacy policies to help parents and educators make sense of the complex policies and terms related to popular tools used in homes and classrooms across the country.

  • Keep Kids & Teens Safe

    Minimal risk

     

    • Kyron is designed specifically for young learners, keeping AI safety at the forefront. The content that students see is entirely human-generated and determined, which essentially eliminates the possibility of outputting harmful content to the student. The role of AI is limited to determining which piece of content to display at a particular time.
    • When students gain confidence in educational material, especially subjects or concepts that had been previously challenging, the impact to their mental health has been shown to be positive.
    • Student anxiety is one of the most significant mental health concerns that teachers currently face. Should Kyron's AI system misunderstand students or present lessons that do not match a student's need, classroom teachers may be led to believe a student is struggling with the material when they are actually struggling with the system itself. This could have the effect of increasing student anxiety, whether about using Kyron or belief in their own capabilities. This stress can be exacerbated if a teacher, based on these reports, tells a student they're underperforming. This issue can be addressed with proper teacher training and clear guidelines on how to interpret and act upon progress reports.
  • Be Transparent & Accountable

    Minimal risk

     

    • Kyron has close relationships with schools for monitoring feedback, and manually tests how videos are delivered and sequenced based on student interactions.
    • Kyron has not yet provided transparency reporting, which would provide insight into its internal assessments regarding performance and fairness, as well as details about its pedagogical approach.

Editor's note: Common Sense Growth, Common Sense Media's affiliate, is a minority investor in Kyron Learning. Our ratings are written by independent experts and aren't influenced by our affiliates, developers, media partners, or funders.

 

 

Additional Resources

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Education

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Free Lessons

AI Literacy for Grades 6–12 | Lessons

 

 

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