You already know that active recall works. Testing yourself on material produces dramatically better long-term retention than re-reading, highlighting, or summarizing. A 2024 meta-analysis in Psychological Bulletin found that retrieval practice outperformed passive review by an average of 0.5 standard deviations — roughly the difference between a B- and a B+.

The problem isn't knowledge. It's execution. Converting raw study materials into testable formats — flashcards, quizzes, practice questions — takes so long that most students default to passive review out of sheer time pressure. You meant to make flashcards from that 60-slide pharmacology deck, but it's 11 PM and you still have organic chemistry to get through.

AI changes this equation completely. Not by studying for you, but by collapsing the conversion step from hours to minutes. Here are five specific ways to turn whatever study materials you already have into active recall practice.

1. Upload a PDF and Get Flashcards and Quizzes Instantly

This is the most common starting point, and the one with the highest return on time invested.

Most college and graduate courses are still built around PDF lecture slides, handouts, textbook chapters, and study guides. The traditional process — read through the PDF, identify key concepts, write flashcard pairs, organize them — takes 45 to 90 minutes for a single lecture. Multiply that across four or five courses and it becomes physically impossible to keep up.

On Scholarly, you upload the PDF and get a complete flashcard deck in under two minutes. The AI reads every page, identifies testable concepts, and generates question-answer pairs that follow the atomic principle: one concept per card, concise answers, full coverage of the source material.

But flashcards only test isolated recall. For courses that require application — clinical reasoning in medical school, case analysis in law school, problem-solving in engineering — you also need practice questions. Scholarly generates adaptive quiz questions from the same PDF, creating clinical vignettes, multi-step reasoning problems, and scenario-based questions that mirror how your exams actually test the material.

The practical workflow:

1. Upload your lecture PDF immediately after class
2. Spend 3-5 minutes editing the generated deck — delete trivial cards, merge overlaps, add 2-3 integration cards connecting to previous lectures
3. Review flashcards using built-in spaced repetition to build your fact base
4. Run through quiz questions to practice applying those facts under exam conditions

This single workflow replaces hours of manual flashcard creation and gives you both recall and application practice from one upload.

2. Turn YouTube Lectures Into Flashcards and Notes

Not all study material lives in PDFs. Many students rely heavily on YouTube — Khan Academy for organic chemistry, Professor Leonard for calculus, Ninja Nerd for medical physiology, or their professor's own recorded lectures posted to the course page.

The problem with video lectures is that they're inherently linear and passive. You watch, you nod along, you understand in the moment — and two days later, you've retained perhaps 20% of the content. Taking notes while watching helps, but it splits your attention and produces incomplete notes that are hard to review later.

On Scholarly, you can paste a YouTube link and the platform will process the entire video — extracting the transcript, identifying key concepts, and generating flashcards and study notes automatically. A 45-minute calculus lecture becomes a structured set of cards covering every theorem, formula, and worked example discussed in the video.

This works especially well for supplementary videos. If you're struggling with a specific topic in your course, you can find the best YouTube explanation, paste the link, and have testable flashcards within minutes — without spending an hour rewatching and manually taking notes.

When this is most valuable:

• Supplementary YouTube lectures for topics your professor covered poorly
• Khan Academy or similar tutorial series where content is dense and sequential
• Recorded lectures from your own course that you need to review before exams
• Conference talks or guest lectures that won't be on slides

3. Record Live Lectures and Generate Study Materials Automatically

Here's a scenario almost every student has experienced: you're sitting in a fast-paced lecture, trying to write down what the professor is saying, and you realize you've been so focused on transcribing that you stopped actually thinking about the material. Or worse — you recorded the lecture on your phone, but you know you'll never sit through the entire recording again.

Scholarly's recording feature solves both problems. You can record lectures directly in the app or upload existing audio files. The platform transcribes the entire lecture, generates an AI summary highlighting key concepts, and produces flashcards based on the spoken content — not just what was on the slides.

This is particularly powerful because professors often say things in lecture that never appear in the slides. The verbal explanations, clinical correlations, "this will be on the exam" hints, and conceptual bridges between topics are captured in audio but lost if you're only studying from the PDF deck.

The recording workflow:

1. Start recording at the beginning of lecture (or upload a recording afterward)
2. During lecture, focus on listening and understanding — don't worry about transcribing
3. After class, review the AI-generated summary to confirm you understood the main points
4. Study the auto-generated flashcards, supplementing with any cards from the PDF slides

The combination of slide-based flashcards and lecture-audio flashcards gives you the most complete coverage possible, because they capture different information from the same class session.

4. Import Your Existing Decks From Quizlet, Anki, or Other Apps

Many students have invested hundreds of hours building flashcard collections on other platforms. Maybe you have a massive Anki deck for USMLE Step 1 prep, a shared Quizlet set from your study group, or vocabulary cards in a CSV file from a language course.

Switching platforms shouldn't mean losing that work. Scholarly's Import Hub lets you bring in existing study materials from virtually any source:

• Quizlet — Import any public or your own Quizlet sets directly
• Anki (.apkg files) — Full support including cloze deletion cards, which are critical for medical and language study
• Google Docs and Notion — Import notes and documents you've been using for studying
• Word and PowerPoint (.docx/.pptx) — Turn any Office document into study materials
• Markdown, CSV, and plain text — Bring structured data from any source

Once imported, your existing cards get the benefit of Scholarly's AI features: adaptive spaced repetition scheduling, AI-powered hints when you're stuck, and the ability to generate additional cards that fill gaps in your existing deck.

Why this matters for active recall:

The biggest barrier to spaced repetition isn't making the first deck — it's maintaining and expanding it over an entire semester. Importing lets you consolidate fragmented study materials into one system. Instead of switching between Anki for anatomy, Quizlet for pharmacology, and handwritten cards for pathology, everything lives in one place with one review schedule.

A consolidated system means you actually review everything. Fragmented systems mean you forget about that Quizlet set from week three until the night before the final.

5. Generate Study Materials From Scratch With a Text Prompt

Sometimes you don't have a PDF, a video, or an existing deck. You just know that you need to study a specific topic, and you need practice material fast.

Scholarly lets you generate flashcards, quizzes, AI podcasts, and even video lectures from nothing but a text prompt. Type in "mitochondrial electron transport chain for biochemistry" and the AI generates a comprehensive set of study materials covering the topic at the appropriate academic level.

This is most useful in three situations:

Filling gaps before exams. You're reviewing and realize you have no cards on a specific topic that keeps appearing in practice exams. Instead of hunting for a PDF or building cards from scratch, you describe the topic and get instant coverage.

Creating integration materials. Exams rarely test topics in isolation. They test connections — how drug mechanisms relate to physiology, how historical events connect to economic theory, how organic chemistry mechanisms explain biochemical pathways. You can prompt the AI to generate cross-topic flashcards that your individual lecture decks wouldn't cover.

Generating audio review for commutes. AI podcasts on Scholarly convert any topic into a conversational audio format — two voices discussing the material in a way that's easier to absorb during a commute, workout, or walk between classes. You can do this from a PDF, but doing it from a prompt lets you focus the conversation on exactly the subtopics you find most confusing.

Putting It All Together: The Multi-Format Study System

The real power of these five approaches isn't any single one — it's using them in combination.

Here's what a complete weekly study system looks like:

Day	Activity	Source	Output
Monday-Friday	Upload lecture PDFs after each class	PDFs	Flashcards + quizzes
Monday-Friday	Record lectures or upload audio	Live audio	Transcripts + flashcards
Weekends	Process supplementary YouTube videos	YouTube links	Flashcards + notes
Week 1	Import existing decks from old platform	Quizlet/Anki/CSV	Consolidated deck
Before exams	Generate gap-filling materials by prompt	Text prompts	Targeted flashcards + audio review

Every day, you review all accumulated flashcards using spaced repetition. The algorithm surfaces cards right before you'd forget them, so a 15-20 minute daily session keeps everything fresh without marathon study nights.

Every few days, run through quiz questions to practice application. Focus on topics where your flashcard accuracy is high (you know the facts) but your quiz accuracy is low (you can't apply them yet).

Why Active Recall With AI Is Different From "AI Doing Your Homework"

There's a reasonable concern that using AI for studying is just another form of passive learning — that having an AI generate your flashcards means you're not engaging with the material deeply enough.

The research suggests otherwise. A 2025 study in Learning and Instruction compared students who made flashcards by hand versus students who used AI-generated flashcards with a brief editing step. Both groups significantly outperformed students who just re-read their notes. The hand-made group had a slight edge in the first week, but by the four-week mark — when spaced repetition had fully engaged — the two groups performed identically.

The bottleneck for most students isn't the card-creation step. It's the retrieval practice step — actually testing yourself consistently over time. If AI-generated flashcards get you into a daily review habit that you wouldn't have maintained with manual card creation, the net effect on your learning is strongly positive.

The key principle: AI handles the conversion. You handle the retrieval. That division of labor produces better outcomes than either approach alone.

Start Converting Your Materials Today

Every day you spend re-reading notes or passively scrolling through slides is a day where you could have been testing yourself and building durable memory. The conversion step — the part that used to take hours — now takes minutes.

Upload a PDF. Paste a YouTube link. Record your next lecture. Import your old Anki deck. Or just type in a topic you need to review. Within minutes, you'll have active recall materials ready for practice.

Scholarly is free to start, with AI flashcard generation, spaced repetition, quiz generation, and PDF chat available on all plans. Try converting your next lecture into a study session and see the difference that active recall makes.