Cut Your Study Time in Half: Mastering AI Study Tools like Memo (memo.cards) and Others
By Jason Chan, Co-founder of Memo (formerly PDF2Anki), Medical Student at HKU
Abstract
This hands-on workshop introduces students to cutting-edge AI-powered learning techniques using appMemo (memo.cards), alongside proven study methodologies. Participants will learn how to leverage artificial intelligence to transform their study materials into effective learning resources while cutting study time in half. The workshop combines practical demonstrations of appMemo’s features with evidence-based learning principles including active recall and spaced repetition. Students will receive exclusive 3-month pro access to appMemo and learn transferable skills applicable across various learning platforms. This workshop is ideal for students looking to optimize their study efficiency and embrace modern learning technologies.
Learning Outcomes
After this hands-on workshop, you will be able to:
1. Transform your study materials into effective flashcards and learning resources using AI tools like App Memo
2. Apply evidence-based study techniques, including active recall and spaced repetition, in your daily learning
3. Optimize your study workflow using AI applications to reduce content creation time by 50%
4. Customize AI-generated learning materials to match your personal learning style
5. Transfer learned AI study principles across different learning platforms and tools
About the Speaker
Jason Chan
Co-founder of Memo (formerly PDF2Anki), Medical Student at HKU
Jason Chan is the co-founder of App Memo (memo.cards), a revolutionary AI-powered learning platform that has helped over 180,000 students worldwide optimize their study process. As a current medical student at The University of Hong Kong, Jason intimately understands the challenges students face in managing vast amounts of information. He combined his technical expertise with his medical education experience to create App Memo, which has generated over 10 million flashcards for students across 30 different academic disciplines. Jason’s work has been recognized by leading educational institutions, and he regularly speaks about the intersection of AI and education.