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Evaluating cognitive load is a key step in designing adaptive multimedia learning environments.
The findings can be accounted for in terms of dual codes in working memory and suggest that cognitive load is lower for visual than for aural presentation.
Ingenium is designed so that students do not focus on words in isolation, but make logical connections between words and group words together, so that the number of elements involved in the translation, or the cognitive load, is instantly reduced.
In this study, the extraneous cognitive load is minimized by avoiding temporal split attention with regard to supportive information (i.e., conceptual models or 'theory') and the germane cognitive load is optimized by using schematic representations of this information to direct learner's attention to concepts relevant for learning.
Since the related amount of cognitive load is supposed to change over time, plausible temporal models of load progression based on different theoretical backgrounds are inspected in this study.
A dual task will be an effective evaluation tool in operational environments where multiple tasks are conducted (e.g., responding to spoken directions and monitoring displays) and an implicit, sensitive measure of cognitive load is imperative.
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As dependent variables learning outcomes as well as self-reported cognitive load were assessed.
Retention and transfer of the learning material and cognitive load were assessed.
But differences in overall cognitive load are not sufficient for explaining differences in learning outcome.
Cognitive load was assessed using the dual-task paradigm and the NASA-RTLX questionnaire.
Learner characteristics, such as prior knowledge, working memory capacity, self-efficacy and cognitive load, were taken into account.
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