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2020 » Papers » Volume 2 » Towards improving crowdsourcing learning for students by using artificial intelligence 1. TOWARDS IMPROVING CROWDSOURCING LEARNING FOR STUDENTS BY USING ARTIFICIAL INTELLIGENCE Authors: Cincar Kristijan, Codreanu Ioana-Andra Volume 2 | DOI: 10.12753/2066-026X-20-095 | Pages: 76-83 | Download PDF | Abstract
Artificial intelligence will change the way we live and work, using artificial intelligence will help people learn more, work smarter and evolve over time on all levels.
Students in each field will need to be aware of Artificial Intelligence strategies to advance their own activity. And the technology used needs a strategy that should use and coordinate the use of these tools in the field of artificial intelligence.
The basic idea is to use online messaging both on the phone and on the computer to facilitate peer-to-peer learning where students are asked to ask questions by connecting with colleagues with the same interests and to questions that colleagues are answering on this platform.
Moderators of this online messaging platform, check the questions and answers to make sure they are of high quality. Our idea is to use machine learning algorithms that filter out incorrect questions, eliminate them and help moderators with correct answers use a automatically generated database.
In addition, there is the possibility to use machine learning for students depending on their skill sets. Example a student who successfully answered advanced art questions, for example, could be associated with a student who has questions about art courses.
Another example is at the beginning determining the learning level of a new user, giving them easier questions. Then, we connect them with other users of the more established online messenger who can guide them, and then gradually move them forward. We seek to arouse interest and to trust the beginner students. | Keywords
crowdsourcing learning , artificial intelligence, machine learning,peer-to-peer learning |
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