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This may trigger a new input for another process of the ICLT model as learners' output is a process rather than a product of their ICC learning.
The main idea behind this optimization method is to profit from the influence of a teacher on the learners' output in a class [47].
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Learners' outputs also serve to highlight their source of learning difficulty so that the teacher can intervene to provide remedial programs.
This grouping is responsible for the physical way the system both detects (input) the world and interacts with the learner (output).
Methods described in this paper use these inputs in order to extract specific information about the learner (outputs).
Collectively, we can refer to these as "generative" cognitive work because both involve learners generating outputs beyond what has been presented to them (Table 1).
The findings of the study suggested that explicit vocabulary-focused instruction of academic formulaic sequences has the potential to boost language learners' awareness, cued output, and spontaneous use of formulaic sequences.
For example, phylogenetic profiles, one of the most useful attributes, are based on an unsupervised learning approach, where no prior information is given to the learner regarding the output or class label.
The comprehension test asked learners to predict the output of ten short algorithm program statements.
The TLBO algorithm is based on the effect of the influence of a teacher on the output of learners in a class.
Teaching-Learning-Based-Optimization (TLBO) is a population-based Evolutionary Algorithm which uses an analogy of the influence of a teacher on the output of learners in a class.
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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