Card Master - 记忆卡片大师
兼容公共卡组 无广告 考试 语言学习
About
This intelligent learning assistant uses a scientific memory algorithm based on the forgetting curve model to schedule personalized review sessions. It supports rich media notes, LaTeX, and code blocks, making it ideal for students, language learners, and professionals.
What's New in Card Master
2.0
May 3, 2026
*Optimize the user experience
Developer apps
FAQ
What is Card Master's learning methodology?
Card Master utilizes a scientific memory algorithm based on the forgetting curve model, specifically the SuperMemo and Anki's spaced repetition system (SM2). This dynamically adjusts review frequency to maximize long-term retention of information.
Can I import my existing flashcards into Card Master?
Yes, Card Master offers a powerful import function that supports one-click import of Anki files (.apkg). This makes it easy to transition from other learning tools and continue your studies seamlessly.
What types of notes can I create in Card Master?
Card Master supports multi-dimensional note management, allowing you to use text, images, audio, video, tables, LaTeX formulas, scanned documents, and even code blocks. This versatility caters to all learning scenarios.
Does Card Master have ads?
No, Card Master is ad-free. The application is designed to provide an uninterrupted learning experience without advertisements.
What devices is Card Master available on?
Card Master is available on iPhone and iPad devices. It is designed to be accessible on Apple's mobile and tablet platforms.
How often is Card Master updated?
The latest version of Card Master is 2.0, and it was last updated on May 3, 2026. This indicates a recent update, suggesting ongoing development and support.
What is the age rating for Card Master?
Card Master has an age rating of 17+. This rating is typically assigned based on content that may not be suitable for younger audiences.
Does Card Master offer certifications for completing courses?
The provided information does not mention whether Card Master offers certifications. Its focus is on efficient memory retention and learning through spaced repetition.
