Thesis supervisor: Vivien Surman
Location of studies (in Hungarian): 1117 Budapest, Magyar tudósok körútja 2. Q building A wing Abbreviation of location of studies: BME Q
Description of the research topic:
Higher education serves as both a direct and indirect catalyst for fostering improvements and innovations. It not only augments the knowledge base of its stakeholders but also cultivates their cognitive frameworks, enabling them to adeptly navigate risk and embrace lifelong learning. The judicious integration of artificial intelligence holds the potential to support the improvement of the quality and sustainability of institutional processes. The focal objective of this research endeavor lies in the meticulous exploration of the conceivable applications, attendant challenges, as well as the facets of quality and sustainability intrinsic to artificial intelligence within higher education. In addition, the research covers the identification of higher education-specific artificial intelligence-driven solutions that can define areas in need of improvement, optimize resource allocation, and promote sustainability initiatives in higher education institutions. Ultimately, the overarching goal is to enhance the overall educational quality and process efficiency, thereby fostering progress in the field.
Required language skills: english Number of students who can be accepted: 1
Deadline for application: 2024-05-31
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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