CBSE Class 10 Result 2016: For students who will be anxiously awaiting their most current listings for the various examinations written by them around the world, the following is an interesting smartphone app that will ease student cum parent’s angst by predicting grades dependant on mental health, academic performance and behavioural trends.
Scientists are suffering from the first smartphone app that automatically predicts college students’ grade point average depending on HSSC Result 2016 their cellphone data that tracks their study, party as well as other habits.
The findings offer new strategies to improve students’ performance, providing real-time feedback on his or her studying, partying, sleeping, exercising along with conscious and unconscious behaviours to assist them to stay on track academically, researchers said.
The SmartGPA app builds about the Dartmouth College researchers’ earlier StudentLife study, which created the very first 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 with the SmartGPA study.
“Our SmartGPA results show there are a variety of important study and social behaviours automatically inferred from here smartphone sensing data that significantly correlate with term and cumulative GPA,” said Campbell.
The researchers installed the SmartGPA app around the smartphones of 30 Dartmouth undergraduate students and monitored them across a 10-week academic term.
The app uses automatic sensing data for the phone along with the cloud and machine learning algorithms 24 / 7 to infer more impressive range behaviours, including partying (frequency and duration) and studying (duration while keeping focused).
It also tracks behavioural changes to the students GSEB HSC Result, for example class attendance, sleep, exercising and sociability (personally conversation and indoor and outdoor mobility). The app works behind the scenes without any user input.
“The results show the app, together with periodic self-reports from students, can predict their GPA within 17 hundredths of the point against their cumulative GPA from other transcripts,” researchers said.
The email address particulars are statistically significant even for a compact cohort. The computational model uses no prior knowledge of students’ academic performance, for example SAT scores and IQ.