Now parents need not rely on teachers to get the performance reports of their kids in school, instead Artificial Intelligence (AI) based models can predict high academic achievers from lower ones based on their social media posts.
The prediction model uses a mathematical textual analysis that registers users’ vocabulary (its range and the semantic fields from which concepts are taken), characters and symbols, post length and word length.
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,” said Ivan Smirnov, leading research fellow at the Institute of Education of Higher School of Economics University in Moscow.
The study traces the career paths of 4,400 students in 42 Russian regions.
“Since this kind of data, in combination with digital traces, is difficult to obtain, it is almost never used,” Smirnov said.
This kind of dataset allows you to develop a reliable model that can be applied to other settings.
“And the results can be extrapolated to all other students — high school students and middle school students,” Smirnov said in a paper published in the journal EPJ Data Science.
The model can be used to predict very different characteristics, from student academic performance to income or depression.