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Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space
[article]
2020
arXiv
pre-print
Qualitative analysis of verbal data is of central importance in the learning sciences. It is labor-intensive and time-consuming, however, which limits the amount of data researchers can include in studies. This work is a step towards building a statistical machine learning (ML) method for achieving an automated support for qualitative analyses of students' writing, here specifically in score laboratory reports in introductory biology for sophistication of argumentation and reasoning. We start
arXiv:2011.13384v2
fatcat:ybywlsghfrcpzhlgkxj7aajfaq