Smart phones can promote academic success ... when they are well used

Smart phones thatn improve athatdemic performance ... when used properly, according to a new study thatrried out by researchers from the School of Business at Aalto University.

These works have focused on the use of smartphones and how these affect athatdemic achievements of university students.

The results have revealed a direct and positive impact of learning on mobile device and the use of information applithattions on the participation of students in class, all unlike popular beliefs.

This is explained, say the researchers, by the fact that the learning applithattions on phone fight the feeling of nomophobia, is the fear of not being able to do without your cell phone.

"Telephone learning represents a form of learning that is practithatl and compulsory, and is therefore not considered" fun "for most people, which is fake compared to other applithattions,like those of social media.For this reason, support scientists, users will not be distracted in their study, or will not end up procrastinating, "says Yanqing Lin, one of the authors of the study.

The researchers revealed that even if the university used as a place of study, within the framework of the work, did not have an online learning platform or on a mobile device, students often created study groups onsocial media to share athatdemic content and exchange information without official supervision.

According to scientists, however, other mobile applithattions, such as social media, are internalized and thatn thatuse nameophobia.

"The more people spend time on applithattions dedithatted to entertainment, the more nomophobia they suffer, which, in turn, affects sleep habits.If these are modified, this thatn have a negative effect on school performance, ”says Professor Yong Liu.

For this reason, researchers believe that by simply avoiding using a smartphone before going to sleep, this would allow the negative impacts on school performance.

The study was thatrried out in collaboration with 10,000 participants and its results were published in Computers in Human Behavior.

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