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SEMINARIO DE DIVULGACIÓN CIENTÍFICA

  • 20/03/25 16:00

El seminario de divulgación científica de la Facultad de Ciencias Económicas, Empresariales y Turismo se impartirá el jueves 20 de marzo por parte del Dr. Peter Kovács. La información del seminario y del ponente es la siguiente:  

Dr. Peter Kovács (University of Szeged, Department of Statistics and Demography)

Abstract 

Artificial Intelligence (AI) is having an increasing impact on our daily lives. More and more news is emerging about the potential applications of AI and the expanding functions of generative AI. In parallel, the role and challenges of AI in education are also gaining momentum. There are many articles and proposals on how AI, in particular generative AI and ChatGPT, can be used in education to support both students and teachers in their work, for example in brainstorming, generating problem sets, synthesising resources, improving papers, assessing student performance, searching for information. The question arises: what is the role AI plays in statistical education? AI is typically used in advanced statistics courses, in the forms of learning algorithms, machine learning and neural networks. In addition, some courses include the prompting of generative AI mainly for generating Python, R codes. 

In our presentation, we will introduce our solutions, ongoing developments and practical experience of the use of AI in our introductory statistics courses. Based on the uploaded course materials, we generate test sets, lesson plans and use AI to improve teaching methodology, improve the instructors' teaching methodological skills, and help with student assignments and homework. One other direction can be that Statbot, a chatbot which supports the course organization and can help the instructor in answering frequently asked questions from students. 

Experience has shown that AI cannot take over, but can effectively support the work of teachers in solving repetitive technical tasks, reducing administrative burdens, brainstorming and creativity. Overall, the workload of instructors is not reduced significantly, but they perform different activities as part of their duties: problems are formulated where the use of AI may arise, questions are formulated and prompts are generated. Inaccurate answers to questions also impose on instructors the tasks of continuous monitoring, learning and refining the use of the system, and teaching the learning algorithm. AI-based solutions in the teaching methods or context of a given subject can enrich lessons and tasks. From the students' perspective, the current generation of university students prefer quick solutions, and they are keen to use generative AI. One potential danger is that the vast majority of them do not check the correctness and timeliness of the answers themselves, therefore students' attention should be drawn to such issues, and consequently, their AI literacy should be developed indirectly during the statistics courses as well. 

Biografía:  Dr. Peter Kovacs, a Hungarian statistician, got his diploma in Mathematics, PhD and habilitation in Economics. He is an associate professor, head of the Institute of Financial and Economic Analysis, and chair of the Department of Statistics and Demography at the University of Szeged, between 2014 and 2017 vice dean of the Faculty, between 2017 and 2024 Dean of the Faculty. He has been teaching Statistics since 2001. He teaches different courses in Statistics, PowerBI, Excel, and SPSS at the bachelor, master and PhD levels in English and Hungarian. In addition, he is the chair of the Statistics Scientific Subcommittee of the Hungarian Academy of Science. His main research interests are statistical and financial literacy, statistics education development, multivariate statistical models, and the use of IT in classrooms. He was a member of the ProcivicStat project. He leads a financial literacy research group and participates in several research projects. 

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