Thesis supervisor: Veronika Stoffa
Location of studies (in Hungarian): ELTE, Faculty of Informatics // J. Selye University Abbreviation of location of studies: ELTE
Description of the research topic:
The artificial intelligence plays an important role in the computer and Internet-supported knowledge acquisition. The effective form of teaching material presentation is a hyper structured and logically organized dynamic content that follows the structure of the human knowledge system. Users can acquire knowledge in different ways and build up knowledge systems based on individual learning styles. The effective management (control) of individual learning can play an important role in the learning framework implemented as a system with artificial intelligence, for example in the form of an expert system. The doctoral student task is to develop, implement a didactic adaptive expert system which is easily responsible, can be is easily and interactively uploaded, modified such a simple framework. The implemented expert system adaptively respond to the recognized (identified) user's learning style, mental abilities and knowledge level. By the implemented learning model is optimally modify and manage the learning process to make its more effective. Also automatically monitors the processes of learning, gather information on their self-adaptation, modification and improvement for future use.
Number of students who can be accepted: 1
Deadline for application: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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