Road Maps for Learning: A Guide to the Navigation of Learning Progressions
By Paul Black, Mark R. Wilson, Shih-Ying Yao. 2011
133 citations recorded by the source corpus.
Subfields: Education, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/0909b09b64614aae1a07cd09f2fa3f0cd888a583
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In Education
Citations in the corpus
- An argument for formative assessment with science learning progressions (2018, background): “Classifying a student idea according to a learning progression both places it within a larger continuum of student understanding (Black et al., 2011) and, particularly for science learning progressions, associates it with the qualitative description of student thinking characteristic of that level.”