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Abstract: Educational
research relies on a labor intensive analysis of qualitative data. Many times, data
takes the form of transcribed conversations between stu- dents and teachers. These
transcripts are analyzed, annotated, and coded to help uncover patterns and ideas. An
education researcher will comb through the documents, line by line, classifying each
line or paragraph into a pre-described ... read morecategory. In this thesis, I present the framework
of a new tool that has the potential to greatly aid education researchers as they
analyze qualitative data. By utilizing statistical machine intelligence techniques for
Natural Language Processing (NLP), and leveraging existing Deep Learning language
models, the tool completes much of the tedious work of transcript coding, allowing the
researcher to focus his or her attention on the areas that are
important.
Thesis (M.S.)--Tufts University,
2017.
Submitted to the Dept. of Mechanical
Engineering.
Advisors: Chris Rogers, and Ethan
Danahy.
Committee: Brian
Gravel.
Keyword: Educational
technology.read less
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