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| Learning Progressions Analysis× | Wright Map Analysis× | |
|---|---|---|
| Oblast | Education | Education |
| Porodica≠ | Process / pipeline | Latent structure |
| Godina nastanka≠ | 2009 | 2005 |
| Tvorac≠ | Science and mathematics education research (Corcoran, Mosher, Rogat; Wilson; Clements & Sarama) | Benjamin Wright (Rasch measurement); construct-mapping framing by Mark Wilson |
| Tip≠ | Empirically grounded ordered description of how understanding develops over time | Graphical display aligning person abilities and item difficulties on one scale |
| Temeljni izvor≠ | Corcoran, T., Mosher, F. A., & Rogat, A. (2009). Learning Progressions in Science: An Evidence-Based Approach to Reform (CPRE Research Report RR-63). Consortium for Policy Research in Education. link ↗ | Wilson, M. (2005). Constructing Measures: An Item Response Modeling Approach. Lawrence Erlbaum Associates. ISBN: 9780805847857 |
| Drugi nazivi | Learning Trajectories, Progress Variables, Learning Progression Validation, Construct Maps | Item-Person Map, Item Map, Construct Map (Rasch), Variable Map |
| Srodne | 4 | 4 |
| Sažetak≠ | Learning progressions analysis is a methodology for describing and validating the typical paths by which students' understanding of a core concept grows more sophisticated over time. A learning progression hypothesizes an ordered sequence of increasingly advanced ways of thinking — from naive ideas to expert understanding — and then tests that ordering against evidence of how students actually reason. Prominent in science and mathematics education, it links a theory of the domain, the design of assessment tasks, and a measurement model into a coherent description of conceptual development. | A Wright map (item-person map) is the signature graphical output of Rasch measurement: it places persons and items on the same vertical scale, with examinee abilities on one side and item difficulties on the other, both in logits. Because a person succeeds on an item with probability one-half when their ability equals the item's difficulty, this shared scaling lets analysts see at a glance how well a test is targeted to its examinees, what the items reveal about the construct's order, and where measurement is sparse. Named for Benjamin Wright and central to Mark Wilson's construct-mapping approach, it is a primary tool for interpreting and validating measures. |
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