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Thesis topic proposal
 
Márta Turcsányi-Szabó
Exploring research trends in the use of Large Language Models (LLMs) in Education

THESIS TOPIC PROPOSAL

Institute: Eötvös Loránd University, Budapest
computer sciences
Doctoral School of Informatics

Thesis supervisor: Márta Turcsányi-Szabó
Location of studies (in Hungarian): Eötvös Loránd University, Faculty of Informatics
Abbreviation of location of studies: ELTE


Description of the research topic:

Focus on leveraging the sophisticated natural language processing abilities of models such as GPT across a broad spectrum of educational applications, investigations are underway to explore how a fusion of technological innovation and pedagogical strategies can significantly enhance both teaching and learning. Key areas of exploration include content generation and customization, automated feedback and assessment, tutoring and support systems, language learning, facilitating research, interactive learning experiences, digital literacy and ethical considerations, curriculum development and planning, as well as teacher assistance and administrative tasks.

Required language skills: angol
Further requirements: 
To research LLMs in education, one needs a deep understanding of AI, pedagogy, data analysis, and ethical considerations, alongside skills in programming and educational technology integration.

Number of students who can be accepted: 2

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).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )