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Additionally, the linkage between learning effectiveness of this feature and learners' germane cognitive load as established by the findings of this study could be considered as one of the means to create learning environments that optimize learners' cognitive resources.
We further suggest that vocational instructors have critical roles in terms of creating positive vocational learning environments in schools and workplaces that can optimize learners' perceptions of their occupations in practice, thereby shaping vocational identity, which then increases competence and willingness to perform.
This study implicates that 1) 3D multimodal resources in SL provide EFL learners with visual and linguistic support and facilitate language teaching and learning; and 2) tasks that draw upon SL features, accommodate learners' cultural/world knowledge, and simulate real-life scenarios, can optimize learners' virtual learning experiences.
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In line with our model results, we outline three points of intervention to strengthen a learner's vocational identity and thereby optimize VET: (1) Grant vocational learners an opportunity to experience actual work.
The resulting set of feature vectors can then be used to optimize a given machine learner by GRS, which will find the feature subset optimally discriminative of PPIS participation for a given learner and dataset.
Thus, we consider designing interaction features to increase germane cognitive load as one of the strategies to offer necessary cognitive support to learners for optimizing cognitive resources while translating among the representations.
For example, some classifiers such as Naïve Bayes can be overly optimistic with a lower precision rate [ 97], and adaptive boosting ensemble classifiers with Naïve Bayes as the base learner can optimize precision and total accuracy rate through incrementally iterative learning processes [ 98].
When designing and implementing simulation-based learning, extraneous load must be minimized by good design and the intrinsic load must be optimized for the learner.
An important goal of assessment is to optimize the capabilities of all learners and practitioners by providing motivation and direction for future learning (Epstein 2007).
An important goal of assessment is to optimize the capabilities of all learners and practicioners by providing motivation and direction for future learning (Epstein 2007).
Superordinate goals of an assessment in medical education are to optimize the capabilities of all learners by providing motivation and direction for future learning, to protect the public by identifying incompetent candidates, and to provide a basis for choosing applicants for advanced training [ 14].
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