TY  - JOUR
AU  - Bakó, Mária
AU  - Szőke, Szilvia
TI  - Generative AI in higher education: efficiency, motivation and challenges in teaching business mathematics
JF  - RESEARCH IN LEARNING TECHNOLOGY
J2  - RES LEARN TECHN
VL  - 34
PY  - 2026
IS  - 1
SP  - 1
EP  - 19
PG  - 19
SN  - 2156-7069
DO  - 10.25304/rlt.v34.3673
UR  - https://m2.mtmt.hu/api/publication/37397099
ID  - 37397099
AB  - This study explores the impact of applying ChatGPT-4, a generative artificial intelligence (AI) model, in the teaching of Business Mathematics. The research had a dual aim: to generate diverse problem sets to support teachers, and to enhance students’ critical thinking by involving them in the verification of AI-generated solutions. Conducted with 342 undergraduate students at the University of Debrecen, the experiment focused on differentiation tasks. ChatGPT-4 solved these with 94% accuracy, and the majority of students (90%) also performed well. Student feedback indicated that the approach was both useful and motivating. Cluster analysis identified three distinct learner groups – Self-Determined Enthusiasts, Duty-Bound, and Drifters – who differed significantly in their engagement with AI-based learning. While most students positively evaluated the use of ChatGPT-4, many also recognised its limitations and the need for critical reflection. The findings suggest that the conscious and pedagogically grounded integration of AI into mathematics education holds considerable potential. However, the development of critical awareness and the continued presence of human oversight remain essential to ensure meaningful learning outcomes. However, its effectiveness depends on ethical use, ongoing critical reflection, and the sustained pedagogical involvement of educators.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Bakó, Mária
AU  - Soltész Kovácsné, Angéla
AU  - Szőke, Szilvia
ED  - IATED, Publisher
TI  - LET THE MACHINE CALCULATE: RETHINKING ECONOMIC MATHEMATICS IN THE AGE OF AI
T2  - INTED2026 Proceedings
PB  - IATED
CY  - [s.l.]
SN  - 9788409823857
T3  - INTED Proceedings, ISSN 2340-1079 ; 1.
PY  - 2026
DO  - 10.21125/inted.2026.0660
UR  - https://m2.mtmt.hu/api/publication/37504026
ID  - 37504026
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Gómez González, Manuel
AU  - Vera Candeas, David
AU  - Valverde Ibáñez, Manuel
AU  - Escámez Álvarez, Antonio
AU  - Sánchez Lozano, Daniel
AU  - Rodríguez Castro, Francisco Javier
ED  - Gómez Chova, Luis
ED  - González Martínez, Chelo
ED  - Lees, Joanna
TI  - CREATION OF ACTIVITIES WITH H5P AND GENERATIVE AI IN THE ELECTRICAL ENGINEERING DEGREE
T2  - EDULEARN25 Proceedings
PB  - IATED
CY  - Valencia
SN  - 9788409742189
T3  - EDULEARN Proceedings, ISSN 2340-1117 ; 1.
PY  - 2025
SP  - 6050
EP  - 6055
PG  - 6
DO  - 10.21125/edulearn.2025.1488
UR  - https://m2.mtmt.hu/api/publication/36450960
ID  - 36450960
LA  - English
DB  - MTMT
ER  -