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Learner strategy can be monitored by following learner paths inside the game.
In a diffusion chain learning situation what a chain member has actually learned from an earlier member of the chain is presented as the input to the next learner, and what that learner has actually learned provides the input to the following learner.
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Language teaching may involve drawing the learner's attention to phenomena, or following the learner's attention, shown in Table 16: Exchange 14.
This approach is often referred to in the literature to as stacking [21, 22], where multiple extractors are stacked on top of each other such that the output of of several base learners is used as input for the following layer learner.
Gaines and Shaw (1995) took a different approach which generated one node at a time following the learners' clicking activity on the web.
Specifically, we describe the following: The learner-centered instructional design we used to support the inclusion of QL concepts in our introductory biology course.
Both regimens of E2 disrupted the expression of spatial memory in place-learners following the novel start position.
Although no significant gains in problem-solving were found following the intervention, learners who studied with the external scaffold before the game performed significantly better in the post-game problem-solving assessment.
We're following genuine distance learners at work, rest and play.
From these, one course unit was selected from each school and all the learners following the course unit were surveyed.
This suggests that while additional training might be beneficial for learners, educators might wish to introduce additional training techniques or change the nature of the feedback provided to learners following 30 practice ultrasound studies.
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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