Little PAIPer is an interactive learning platform that transforms educational materials—from YouTube videos to Jupyter notebooks—into personalized Socratic dialogues. Using pedagogical concept graphs and AI-guided conversations, it helps learners master complex technical topics through active engagement and adaptive feedback.
"Little PAIPer" is a portmanteau of two beloved works: The Little Schemer, the classic programming book known for its question-and-answer teaching style, and Paradigms of Artificial Intelligence Programming (PAIP), Peter Norvig's comprehensive guide to AI techniques.
The name reflects our pedagogical approach: combining the incremental, Socratic questioning of The Little Schemer with the depth and rigor of AI concepts from PAIP. This fusion has personal significance to the creators—both deeply influenced by The Little Schemer's teaching philosophy, and Peter Norvig holds the copyright to PAIP, which was reassigned to him by the publisher.
Little PAIPer automatically extracts a pedagogical concept graph from any educational source—identifying key concepts, their prerequisites, and mastery criteria. As you learn, an AI tutor guides you through concepts in optimal order, asking questions, providing hints, and seamlessly transitioning between topics as you demonstrate understanding.
The platform features interactive Python environments, progress tracking, and adaptive pacing that responds to your individual learning style. Whether you're exploring machine learning algorithms, data structures, or advanced AI techniques, Little PAIPer makes learning feel like a conversation with a patient, knowledgeable mentor.
Little PAIPer was created by Peter Norvig and Peter Danenbergas an exploration of AI-assisted education and knowledge representation. The project combines decades of teaching experience with modern language models to create a new kind of interactive learning experience.
For more information, please refer to the project repository on GitHub.