Closing The Digital Gap
Personalized learning environments
To build an app for personalized learning, using the users’ information. The app will gather necessary data for artificial intelligence such as face recognition, voice recognition and finger print for digital natives.
To build an app for personalized learning, using the users’ information. The app will gather necessary data for artificial intelligence such as face recognition, voice recognition and finger print for digital natives. As digital natives have different preferences than digital immigrants, the app will help them enhance their learning. To measure the solution half of the digital natives group will be given a traditionally created app and the others this personalized app and the results will be evaluated. Because the app will be according to the digital natives’ preferences it will increase their motivation and autonomy.
What is the problem you are facing?
Existing system’s not meeting the needs of digital natives thoroughly.
What is the challenge that you are solving?
-Learning materials are mostly for digital immigrants however digital natives have different preferences of these learning materials in terms of design and use. Such as:
Craving for speed and inability to tolerate slow-pacedenvironment
Desire or perceived need to multitask
Pictures are in texts are out
nonlinear information process
Actively involve in learning
Learn and fun
Solution target group
Who is the target group for your solution?
-University students and adults
Who will this solution affect and how? How will they benefit?
The solution will affect digital natives.
-Improve their effectiveness
-Let them have interactive and permanent learning
-Energic and dynamic learning process.
Personal needs and preferences are considered so the expected impact will be massive.
Solution tweet textIn a changing and transforming society, providing up to date knowledge meeting the needs of digital natives in and online artificial intellegence (AI) supported learning enviornment.
Finger print, voice and face recognition make the app different. Similiar apps are available but the recognition feature makes it original.
Yes it can be transferred to other contexts because the basics of the application are personal needs.
As the solution will be up to date with the help of AI its long term use is possible.
Solution team work
We worked very well. Yes we would like to work in the future.
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