We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure [email protected]
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Nowadays the cyberspace penetrates all the spheres of our lives: work, leisure and learning activity. However, uncontrolled presence in the virtual reality can form Internet-addictive behavior. Young people seem to be in increased risk of Internet-related problems.
Objectives
The research aim is to study the motivational shpere of the students with different level of Internet dependency.
Methods
The research methods are: Chen Internet Addiction Scale (CIAS), Internet Perception Inventory, Learning Motivation Diagnostics Inventory, Test of Motivation of Success or Fear of the Failure. The sample consists of 37 students of the medical university in the age from 21 to 24 years. According to the results of the CIAS 3 groups have been marked out: Group 1 - with the highest level of Internet-related problems, Group 2 – the risk group of forming the Internet addiction, Group 3 – students who have not demonstrated proneness to Internet-addictive behavior.
Results
The motivational sphere of the students with a low risk of Internet addiction seem to be more differenciated comparing with the one of the rest students. The motives of creative self-realization; communicative, social and learning motives have been demostrated. However, we have not found a significant differance between the groups in motivation for success. The motives of professional self-realization are equally important for all the research participants.
Conclusions
The obtained data can be implemented when designing Internet addiction prevention programs. We assume that including the motivational component into such programs can make them more effective.
Disclosure
No significant relationships.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.