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People's judgments about how well they have learned and comprehended text materials can be important for effectively regulating learning, but only if those judgments are accurate. Over two decades of research examining judgments of text learning—or metacomprehension—has consistently demonstrated that people's judgment accuracy is quite poor. We review recent research that has shown some success in improving judgment accuracy and then argue that the most common method used to investigate metacomprehension accuracy may inadvertently constrain it. We describe a new method that sidesteps some problems of the older method and present evidence showing how people can achieve high levels of metacomprehension accuracy.
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Stored only when both papers are in the corpus — 356 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.