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Micro-adaptation refers to the variation in feedback and error correction as a learner works within a particular task or activity.
To illustrate our point, imagine an ITS with a perfect micro-adaptive module which would provide ideal scaffolding to each learner working on a particular Physics problem.
The learner working independently will use multiplication and division to solve time-and-distance equations as a homework assignment.
These elements are then combined, as in: The learner working in a small group will create a map of the school grounds in one-inch scale.
The learner working in a learning pair will write his or her own mathematics story problems that express time-and-distance equations in space-travel scenarios.
The instructor assessed learners" work, wrote comments and returned to them online.
Educators and businesses must continue emphasizing these kinds of partnerships to help learners work together in meaningful ways.
Learners work through the e-module at their own pace with the option to interrupt and looking back.
These feature vectors are then fed into an LDA-style booster, where several regularized and weakened LDA learners work together to produce a strong learner through a novel feature weighting and sampling process.
Epistemic scripts are designed to support how learners work on a specific task, while social scripts are designed to support how learners interact with one another during collaborative activities (Weinberger et al. 2005).
Recently, many research begin to pay attention to the importance and necessity of authentic activities in which learners work with problems in the real world (Hwang et al. 2008).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com