Sentence examples for multiple representations are from inspiring English sources

The main idea behind this study was to explore the educational potential of multimedia blogging for academic disciplines such as Physical Education (PE) that are not heavily based on written discourse and where multiple representations are important in learning.

This is consistent with the view that while the left inferior parietal lobule does play a substantive role in sentence comprehension perhaps, as several studies suggest, when multiple representations are temporarily active it does not form part of the core left perisylvian network that must be present for syntactic functions to be spared.

Learning from multiple representations is characterized by means of three key functions: (i) to provide complementary information and processes, (ii) to constrain interpretations, and (iii) to construct a deeper domain understanding (Ainsworth 1999).

Marko Petkovšek has proven that for any positional system that names all the real numbers, the set of reals with multiple representations is always dense.

One particular type of data commonly affected by multiple representations is the sequence, either a DNA or protein sequence.

Cuyler summarized Glasser as follows: Glasser established that unconstitutional multiple representation is never harmless error.

Multiple structural representations are needed for a comprehensive assessment of the diversity of compound libraries.

The multiple signal representations are generated by applying different instances of the precoder, which has to be applied within the multi-user downlink scenario.

Multiple tree representations are also useful for representing different scheduling decisions such as acceptance/rejection [111], due date assignment [95] and maintenance [142].

These principles recommended dynamical linking (dyna-linking) in MERs, when multiple external representations are used to support complementary roles and information, and to constrain interpretation.

Another exclusive prediction of our hypothesis is that multiple attribute-pair representations are stored in memory, which could cause specific errors in a short-term memory task.