Predicting Students’ Educational Outcome By Examining Their Tweets

A man named Ivan Smirnov has created a computer model that could predict a student’s educational outcome by analyzing his/her tweet. Through the use of mathematical textual analysis that takes into account the student’s vocabulary, the model is able to identify if a student is a high or a low academic achiever, and it bases its prediction from that.

Every word has its own rating (a kind of IQ). Scientific and cultural topics, English words, and words and posts that are longer in length rank highly and serve as indicators of good academic performance. An abundance of emojis, words or whole phrases written in capital letters, and vocabulary related to horoscopes, driving, and military service indicate lower grades in school. At the same time, posts can be quite short--even tweets are quite informative. The study was supported by a grant from the Russian Science Foundation (RSF), and an article detailing the study's results was published in EPJ Data Science.
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By 'predict', the researcher does not refer to future forecasting, but rather the correlation between the calculated results and the real scores students earned on the PISA exam, as well as their USE scores (which are publicly available online in aggregated form--i.e., average scores per school). In the preliminary phase, the model learned how to predict the PISA data. In the final model, the calculations were checked against the USE results of high school graduates and university entrants.

Head over at EurekAlert to know more details about the study.

What are your thoughts about this one?

(Image Credit: I.Smirnov/ EurekAlert)


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