At present, applying text mining techniques to
educational data is attracting much research
attention. The present study uses text mining techniques to examine posters
prepared by university freshmen in engineering fields to present their learning
programs and their career goals after graduation, under the expectation that
important keywords worth identifying lurked in the posters. The results showed
that even though the participating students were only three months into their
university education, their learning programs and career goals were already
rather concrete and well adapted to the fields and courses they had chosen.
Some of them had a remarkably good command of technical engineering terms.
Cite this paper
Kumakawa, T. (2017). A Text Mining Examination of University Students’ Learning Program Posters. Open Access Library Journal, 4, e3639. doi: http://dx.doi.org/10.4236/oalib.1103639.
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