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Welcome to this deep dive into the transformative world of AI in education. Today, we're exploring how Khan Academy, a先锋 in digital learning, is leveraging AI to revolutionize the educational experience. Let's embark on this journey together.
Over the past two years, we've witnessed a significant shift in AI's role in education. AI, once a distant concept, has burst into the forefront with tools like chat GPT, changing the landscape of what's possible in digital learning.
Dr. Kristen_db, the chief learning officer at Khan Academy, shares her experience working on various AI projects, including a 2015 collaboration with IBM's Watson to explore if AI could serve as a tutor for students. While the technology at the time had limitations, the advent of new generative AI models opened up exciting possibilities for conversational dialogue in tutoring, marking a pivotal moment for Khan Academy.
Khan Academy's approach is built on foundational ideas such as mastery learning, immediate feedback, and motivation—principles that are deeply integrated into their platform. AI enhances these elements by providing personalized practice, immediate feedback, and supporting students in getting unstuck during independent practice.
Mastery learning is particularly crucial in subjects like math, where one skill builds upon another. AI can now help students achieve mastery by providing tailored practice and feedback, ensuring they have a strong foundation before moving on.
Motivation is key to learning, and AI can play a role in fostering it by helping students see the value in their learning activities and expect success. Khan Academy's AI, Kimo, is designed to support these aspects, offering a more engaging and personalized learning experience.
Khan Academy has been working closely with school districts to pilot their AI tool, Kimo, gathering valuable feedback from both teachers and students. Here's what they've discovered:
Teachers have embraced Kimo for a variety of activities, from lesson planning to refreshing their knowledge on specific subjects. The tool has proven particularly useful for writing multiple-choice quiz questions, a task that can be challenging and time-consuming.
Students are using Kimo primarily as a math and science tutor, finding it particularly helpful for getting unstuck during independent practice. The tool's availability in Spanish and Portuguese has also been a significant boon for English language learners.
Khan Academy has long used data and analytics to measure student outcomes, and AI is enhancing this capability. By analyzing student transcripts and conversations with Kimo, Khan Academy can refine the AI's tutoring moves and better understand student responses.
One of the findings is that students often struggle with formulating good questions. To address this, Khan Academy has implemented action bubbles—suggested prompts that help guide students in their interactions with the AI.
Looking to the future, Khan Academy is excited about the development of their writing feedback tool, which provides detailed feedback on student essays. They're also planning to launch a more comprehensive writing coach experience that will guide students through the entire writing process.
As AI continues to evolve, it's essential to manage expectations. The hype cycle, which describes the trajectory of new technologies, reminds us to focus on the reasonable applications of AI and avoid falling into the trough of disillusionment.
For educators looking to stay informed about AI in education, Dr. Kristen_db suggests getting hands-on experience with AI tools. This practical approach will help educators better understand AI's capabilities and how to integrate it into their teaching.
Thank you for joining us on this exploration of AI in education. As we move forward, let's continue to leverage technology to provide individualized support and enhance the learning experience for all.
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