Guides
Practical writing on generating questions from your sources, scoring quality, and drilling without burning out.
Anki deep mastery with MCQ + FSRS: the two layers most guides only cover one of
FSRS schedules WHEN you see a card. The MCQ rubric decides WHETHER seeing it teaches anything. Most Anki advice tunes desired-retention down to 85 percent and calls it deep mastery. But FSRS will faithfully schedule a pattern-match-on-stem card and mark you as
Anki rubric for question generation: in-flight checks beat post-hoc review
Most rubrics for AI Anki cards run after generation. By then the bad cards are already written. A generation-time rubric (four checks gated per card before it leaves the model) is what closes the 23.5-point spread on the held-out eval. Here are the four checks, the pass/fail rule each enforces, and a prompt template you can paste into ChatGPT to approximate the same gates.
PDF to Anki cards: what happens to the source citation when the .apkg lands in your collection
Most PDF-to-Anki tools throw away the source the moment they finish writing cards. Studyly puts a Source field, a SourceQuote field, and a SourcePage field on every Anki note. When you flip the card inside Anki, the verbatim line from your original PDF renders under the answer. Here is the field list, the back template, and what to do with that field on review.
AI Anki card generator quality: the measurement most tools quietly skip
AI Anki card quality varies from 57.8 to 81.3 on a held-out three-document eval scored on factual correctness, clarity, distractor quality, and question-type coverage. Field average sits at 67.9. Here is the leaderboard, the rubric in detail, and a five-point checklist you can run on your own lecture in ten minutes.
Anki card distractor quality: the five failure modes (and a 90-second-per-card rubric)
On AI-generated Anki decks, distractor quality is the single criterion with the widest tool-to-tool spread: 57.8 to 81.3 on a four-criterion held-out eval. Here are the five distractor failure modes you actually see in the wild, the 90-second-per-card rubric you can run on your own deck, and the structural reason source-grounded generation avoids the whole class.
Anki group deck creation workflow: how a class actually merges 8 students
The traditional split-the-lectures workflow has three coordination taxes that quietly destroy class decks: note-type collisions on merge, inconsistent question quality across members, and silently dropped image-occlusion. A concrete recipe for parallel batch generation, plus the namespaced note types that keep merges clean.
Study ly: what people mean when they search the brand as two words
Study ly (one word: Studyly, at studyly.io) is the practice-question generator that converts a professor
Active recall question generator: the test most tools fail on the second revisit
An active recall question generator only works if the question can
Cramming with retrieval practice questions: yes it beats rereading, here is the catch
Karpicke and Roediger 2008: retrieval practice retains ~80% one week later vs ~34% for rereading. Every guide on cramming with retrieval practice questions stops there. The catch nobody addresses is who is supposed to write the questions at 1 a.m. when you have 30 lectures left. This is the practical version of that argument, with a 60-second answer to the writing problem.
Anki card generator for medical school: the cards your premade decks don
Zanki, AnKing, and Pepper cover Step content. They do not cover the specific slides your professor put together for Friday
Lecture slide to practice questions converter: one slide, four cards in parallel
Most lecture-slide-to-practice-questions converters do a 1-to-1 mapping: one slide in, a list of MCQs out. Studyly does 1-to-4. From a single slide, the converter produces an MCQ, a free-response stem, a case-style scenario, and an image-occlusion card from the slide
The study of body structures: anatomy, and how to actually memorize it
The study of body structures is anatomy. The encyclopedia entries stop there. This page picks up where they leave off: how to memorize a labeled Netter figure, a histology slide, and a regional dissection from your professor
The study of bone is called osteology: the part the dictionary entry skips
The study of bone is called osteology. The encyclopedia entries stop at the definition. This page picks up where they leave off: what the 206 named bones look like as a study problem, and the image-occlusion workflow that beats text-only flashcards on a practical exam.
Active learning flashcard creation with AI: why most cards fail by review #3
An AI flashcard maker that prints static front/back cards is producing recognition tests in disguise. By the third review, you remember the wording, not the fact. Real active-learning flashcard creation needs four format variants from one source plus stem rephrasing on every revisit. Here is what that looks like end-to-end.
Study from professor slide deck: the workflow that beats highlighting it
Your professor
USMLE distractor handling vs concept recall: which one your QBank is actually training
Most USMLE prep teaches distractor elimination as a meta-skill: spot trap words, eliminate absolutes, work backward from the options. Real NBME item writers know all of those tactics and design around them. The only thing that survives a reworded stem and a rotated distractor pool is concept recall. Here is the practical difference, with the implementation detail (auto-rephrase plus distractor rotation on every revisit) that decides which mode your QBank is actually drilling.
Quiz generator from PDF: what happens the second, fifth, and fifteenth time you take it
Every guide on this topic stops at upload-and-generate. The interesting part is take #2: do the questions actually change, or are you just memorizing the wording? Studyly rewords the stem and reshuffles the distractors on every revisit, so quiz #15 from the same PDF is still a real test, not a recall of how the question was phrased the first time.
Secure study notes for medical students: the threats most guides miss
For a med student,
AI multiple choice question maker: the lifecycle of a question, from generation to mastery
Most AI multiple choice question makers stop the moment the question is generated. Studyly runs every MCQ through four more stages: a pre-output rubric gate, a source-quoted explain on wrong answers, auto-rephrasing on revisit, and a visual mastery surface (tree, river, weekly leagues). A question made on Sunday is still doing work on Friday.
MCQ generator from PDF: how Studyly extracts page-grounded questions from any PDF
PDFs aren
Multiple choice question generator: how Studyly scores 81.3 on a held-out quality eval
Most multiple choice question generators tell you they make questions. They don