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Abstract Representational competence is a target of novel learning environments given the assumption that improved representational competence improves learning in science. There exists little evidence, however, that improving representational competence is positively correlated with learning outcomes across science disciplines. In this report, we argue that the previously reported weak relationships between representational competence and science learning outcomes have resulted from designs that do not explicitly analyze the discipline‐specific skills related to the representational competence construct. Here, we demonstrate through a detailed analysis of students' representation use that at least two demonstrated skills comprising representational competence (e.g., construction and selection) are not strongly related to improved conceptual understanding in the domain. We discuss the implications of these results for the design of future learning environments that aim to improve learning through improved representational competence.
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Stored only when both papers are in the corpus — 47 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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