AI is trained to 'predict' academic performance based on test scores and social posts

It may be difficult to predict how well a student will perform academically, but a new innovation can do so just by looking at their tweets - and with more than 93 percent accuracy. A computer model trained on thousands of test scores and one million social media posts to distinguishing between high academic achievers and lower ones based on textual features shared in posts. The technology, powered by artificial intelligence, determined that students who discuss scientific and cultural topics, along with writing lengthy posts and words are likely to perform well. However, those who use an abundance of emojis, words or entire phrases written in in capital letters and vocabulary related to horoscopes, driving and military service tend to receive lower grades in school. The team notes that by'predict' they do not mean the system creates a future forecast, but rather a correlation between posts and real test scores students earned.