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The importance of prediction errors is based on Kamin's blocking effect [ 7] which demonstrates that learning and extinction advance only to the extent at which a reinforcer is better or worse than predicted; learning slows progressively as the prediction approaches asymptotically the value of the reinforcer.
The study presented here assessed which variables predicted learning gains in a 1-h lesson.
As in Experiment 1, qualities of the explanations predicted learning outcomes.
The study assessed which variables predicted learning gains after a 1-h lesson on the electric field.
Finally, regression analyses found that AutoTutor dialogs predicted learning even after accounting for total time studying in the combined system.
Conversely, lower levels of teleological reasoning predicted learning gains in understanding natural selection over the course, but did not predict students' acceptance of evolution.
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Although the original manuscript never claimed that learning and coherence changes are causally related, we have eliminated expressions like "learning-induced" or "changes in coherence predict learning" from the revised manuscript.
However, in the non-embedded condition, it was expected that spatial skill would predict learning.
The SRL features of the skillful learners in each phase support learning processes by helping teachers predict learning styles and learning performance.
Additionally, individual differences in coordination bias pre-practice can be used to predict learning rate and quality.
We hypothesized that metacognition and intrinsic motivation would have a strong relationship and independently predict learning potential.
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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