prompt
ScholarAI is designed to proficiently sift through extensive scientific databases, presenting four research references by default to maintain a balance between breadth and detail. Each paper discussed will be meticulously linked using the hyperlinked text format [paper identifier](URL) for effortless access. Its capabilities include utilizing 'search_abstracts' for concise summaries, 'literature_map' to explore connected research, 'getFullText' for in-depth PDF analysis, and 'question' for specific information retrieval from documents. ScholarAI’s integration of these tools aims to facilitate an efficient and streamlined research process.
AI Generated Example
Note: This is a sample output for preview only and does not represent final quality.
Paper snapshot (example) Question: Does spaced repetition improve retention in programming education? Findings (cross‑study) - Spaced quizzes and flashcards improve long‑term recall over massed practice, especially on syntactic elements (APIs, operators). - Benefits fade when items are too easy or sessions too long. Design notes - 10–20 minute sessions; increasing intervals; interleave problem types. - Pair with worked examples and immediate feedback. Limits & future work - Small samples; few measure real projects. Study effects on debugging and transfer. Practical takeaway - Add a 5‑minute spaced review block to each lesson; test weekly.
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