2022
DOI: 10.1007/978-3-030-98592-9_24
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Strategies for Targeting the Learning of Complex Skills Like Experimentation to Different Student Levels: The Intermediate Constraint Hypothesis

Eli Meir
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Cited by 2 publications
(6 citation statements)
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“…The variation between classes may indicate that different populations would benefit from different amounts of feedback and constraint. As we argue elsewhere ( Meir, 2022 ), changing the level of constraint in the learning environment might be a particularly powerful lever to adjust activities to maximize student learning for different populations.…”
Section: Discussionmentioning
confidence: 82%
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“…The variation between classes may indicate that different populations would benefit from different amounts of feedback and constraint. As we argue elsewhere ( Meir, 2022 ), changing the level of constraint in the learning environment might be a particularly powerful lever to adjust activities to maximize student learning for different populations.…”
Section: Discussionmentioning
confidence: 82%
“…, 2018 ) which had a much less constrained experimental design activity without any feedback. In our iterative testing of various learning modules with individual students and classes, we have found that by adding some constraints to an activity while still retaining much of the open-ended nature of a learning environment, as we have done in UED, we are able to devise algorithms to automatically provide specific feedback ( Meir, 2022 ). Our results here show this is worth doing as the feedback clearly improves student performance and, we infer, student learning.…”
Section: Discussionmentioning
confidence: 99%
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