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    <description>Study methods grounded in research: active recall, spaced repetition, exams, AI and studying, accessibility.</description>
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    <lastBuildDate>Fri, 23 Oct 2026 00:00:00 GMT</lastBuildDate>
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      <title>Active recall and the testing effect: why testing yourself beats rereading</title>
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      <description>Active recall means pulling information from memory instead of rereading it, and the testing effect is the finding that this makes you remember more. In a 2006 experiment, students who had tested themselves three times recalled 61 percent of a text a week later, against 40 percent for students who had reread it four times. They were also less confident.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Cornell notes: the method, and how to turn notes into flashcards</title>
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      <description>The Cornell method is a note-taking system designed by Walter Pauk at Cornell University. The page has three parts: notes on the right, a column of questions on the left, and a summary at the bottom. Its real strength is the question column: covering your notes and answering those questions from memory turns note-taking into studying.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>The Ebbinghaus forgetting curve: what it really says</title>
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      <description>The forgetting curve describes how quickly we lose what we have learned: fast in the first hours, then more and more slowly. Hermann Ebbinghaus measured it in 1885 using nonsense syllables, and a replication published in 2015 found the same shape. Each review that makes you recall the material slows the next round of forgetting.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>How to make good flashcards: rules and examples</title>
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      <description>A good flashcard asks one precise question whose answer is short and cannot be guessed. Write it in your own words, add an example when the idea is abstract, and review it at growing intervals, answering from memory before you flip it. If a card asks for a list or a paragraph, split it into several cards or turn it into a cloze deletion.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>The benefits of spaced repetition: what the research actually shows</title>
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      <description>Spaced repetition means reviewing material at growing intervals instead of all at once. It is one of the two best-supported study techniques: a meta-analysis of 242 studies ranks it first of ten common methods (Donoghue and Hattie, 2021). For the same study time, you remember more and for longer, as long as each review makes you recall rather than reread.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>How to study for an exam in a week: a day-by-day plan</title>
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      <description>To study for an exam in seven days, start with a diagnostic test, then cover each chapter at least three times, one to three days apart. Study by testing yourself rather than rereading, mix chapters from day four, sit a timed practice exam three days out, and keep the last day for light review and a full night's sleep.</description>
      <dc:creator>Anthony Menghi</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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      <title>How to use AI to study without cheating</title>
      <link>https://mindlet.app/en/blog/use-ai-to-study-without-cheating/</link>
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      <description>Using AI to study is not cheating as long as it makes you do the work instead of doing it for you. Being quizzed, asking for a different explanation after you have tried, and generating practice problems are safe uses. Submitting AI-written work as your own without permission is treated as cheating by most schools, and research shows it also stops you from learning.</description>
      <dc:creator>Mehdi Ghoulam</dc:creator>
      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
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