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As Table 6 shows, there is not a significant difference on the accuracy when testing with self-placement dataset and training with ideal or self placement (99.1 vs. 98.9%, difference lower than the confidence interval 0.5%).
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"Students' opinions of particular issues are not always in line with their own self-placement on an ideological spectrum," she says.
Other adaptive capabilities of the system are self-routing, self-placement and runtime self-configuration.
We repeat the previous experiments on the other two scenarios described in "REALDISP dataset": self-placement and mutual-placement.
In this case, the amount of data available in ideal-placement and self-placement scenarios is the same.
Self-placement every subject decides the positions of three sensors by themselves and the remaining sensors were situated by experts.
With the idea of cross-dataset experiment, we go further on the ideal-placement and self-placement scenarios (the last row in Table 6).
When comparing these results to the original paper, there is a big improvement (more than 10%, from 88.4 to 98.9%) in the self-placement scenario.
Over the last fifteen years, directed self-placement (DSP) has become a widespread approach to writing placement in US postsecondary settings.
Regarding the self-placement scenario, this table shows 8.6% accuracy drop compared to the ideal-placement in the original paper (from 97.0 to 88.4%), but with our system, this reduction is lower than 0.5% (from 99.1 to 98.9%).
Directed Self-Placement (DSP) is one placement model that has been implemented in various composition programs in the U.S. but has yet to be investigated thoroughly in second language writing settings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com