Inside Quizlet

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT

Quizlet HQ ·
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Imagine if students everywhere could easily access one-on-one tutoring with an expert coach skilled at adapting to different learning styles and skill levels. Imagine if learning materials leveraged comprehensive information available on every subject. Today we are excited to announce Q-Chat, the first fully-adaptive AI tutor built on OpenAI’s ChatGPT API in conjunction with Quizlet’s vast educational content library. As the first education technology company to gain access to and build on OpenAI’s ChatGPT API, Quizlet couldn’t be more excited to take a step toward our vision of bringing personalized AI tutoring to students all over the world.

Introducing Q-Chat, Your New Personal Learning Coach

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits. Q-Chat is available in beta for students 18 and over in the US today. You can find more information and join the waitlist here.

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Quizlet’s AI Evolution

While the launch of Q-Chat may be new, our commitment to exploring how AI can have a positive impact on how students study and learn is anything but new. Our collaboration with OpenAI began more than three years ago, and our work in AI and machine learning began long before that with the introduction of Learn mode in 2017.

Over the last six years, we’ve integrated AI technologies into our platform to help generate Example Sentences for vocabulary learning and used AI algorithms for generating multiple-choice questions. Our Smart Grading feature, which launched in 2020, has increased completion rates and study retention for students and was recently recognized by Fast Company as one of the Next Big Things in social good and education for its ability to “better assess a student’s written response for signs of conceptual understanding, rather than solely rewarding rote memorization.”

In each instance, AI has underpinned our ability to provide students with better, more tailored study tools to help them in everything from learning a new language to mastering the concepts behind organic chemistry.

Using AI Thoughtfully

We envision a future in which every student has the best resources available to them to excel at learning. AI can help us deliver more effective learning tools at scale so that students from South Dakota to South Africa have an opportunity to benefit. We recognize that many new technologies elicit excitement as well as apprehension. That’s why we are being thoughtful in how we are building Q-Chat and are using multiple safeguards to focus its responses on relevant study content and encouraging the student to provide the answers in the conversation rather than the AI. As a beta product, we still have lots to learn and are committed to the journey of building these new tools in ways that productively benefit students' ability to learn.

At Quizlet, we believe in championing the student. Being first in utilizing new technologies with the potential to empower students is important to us given our mission to serve the student’s needs and promote genuine learning and curiosity with the best tools available. This journey is a never-ending one for us.

Join us in giving Q-Chat a try. We hope you will find the learning experience delightful, rewarding, and yes, even fun.

1 http://web.mit.edu/5.95/readings/bloom-two-sigma.pdf