CBSE Class 10 Result 2016: For students who’re anxiously awaiting their outcomes for the various examinations provided by them across the nation, here’s an interesting smartphone app which could ease student HSSC Result cum parent’s angst by predicting grades depending on mental health, academic performance and behavioural trends.
Scientists allow us the first smartphone app that automatically predicts college students’ grade point average according to their cellphone data that tracks their study, party along with habits.
The findings offer new solutions to improve students’ performance, providing real-time feedback on the studying, partying, sleeping, exercising and also other conscious and unconscious behaviours in order to stay on track academically, researchers said.
The SmartGPA app builds around the Dartmouth College researchers’ earlier StudentLife study, which created the primary smartphone app that automatically reveals college students’ mental health, academic performance and behavioural trends.
“Many cognitive, behavioural and environmental factors impact student learning during college,” said Dartmouth computer science Professor Andrew Campbell, senior author from the SmartGPA study.
“Our SmartGPA results show there are various of important study go here and social behaviours automatically inferred from smartphone sensing data that significantly correlate with term and cumulative GPA,” said Campbell.
The researchers installed the SmartGPA app within the smartphones of 30 Dartmouth undergraduate students and monitored them across a 10-week academic term.
The app uses automatic sensing data about the phone as well as in the cloud and machine learning algorithms night and day to infer advanced level behaviours, including HSC result 2016 partying (frequency and duration) and studying (duration while focusing).
It also tracks behavioural changes for your students, like class attendance, sleep, exercise and sociability (in the flesh conversation and indoor and outdoor mobility). The app works behind the scenes without having user input.
“The results show the app, as well as periodic self-reports from students, can predict their GPA within 17 hundredths of any point against their cumulative GPA using their company transcripts,” researchers said.
The answers are statistically significant even for a smaller cohort. The computational model uses no prior knowledge of students’ academic performance, like SAT scores and IQ.