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pro vyhledávání: '"Gregorčič, A."'
Artificial intelligence-based chatbots are increasingly influencing physics education due to their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large multimodal model-based chatbots, ChatG
Externí odkaz:
http://arxiv.org/abs/2412.10019
Autor:
Staša Hamzić Gregorčič, Nives Ogrinc, Russell Frew, Marijan Nečemer, Lidija Strojnik, Tea Zuliani
Publikováno v:
Foods, Vol 11, Iss 4, p 581 (2022)
We appreciate Dr Horacek’s interest in our paper and his feedback [...]
Externí odkaz:
https://doaj.org/article/42623882555841ed91d83763890ba3f9
Akademický článek
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Autor:
Polverini, Giulia, Gregorcic, Bor
This study investigates the performance of eight large multimodal model (LMM)-based chatbots on the Test of Understanding Graphs in Kinematics (TUG-K), a research-based concept inventory. Graphs are a widely used representation in STEM and medical fi
Externí odkaz:
http://arxiv.org/abs/2406.14685
Autor:
Micha Horacek
Publikováno v:
Foods, Vol 11, Iss 4, p 564 (2022)
I was very interested in the investigation of the 87Sr/86Sr ratio of Slovenian milk by Gregorcic et al. [...]
Externí odkaz:
https://doaj.org/article/3c09e3fa97e54a8381b8f819824724d7
Publikováno v:
Phys. Educ. 59 (2024) 045005
In this proof-of-concept paper, we propose a specific kind of pedagogical use of ChatGPT - to help teachers practice their Socratic dialogue skills. We follow up on the previously published paper "ChatGPT and the frustrated Socrates" by re-examining
Externí odkaz:
http://arxiv.org/abs/2401.11987
Autor:
Polverini, Giulia, Gregorcic, Bor
The well-known artificial intelligence-based chatbot ChatGPT-4 has become able to process image data as input in October 2023. We investigated its performance on the Test of Understanding Graphs in Kinematics to inform the physics education community
Externí odkaz:
http://arxiv.org/abs/2311.06946
Akademický článek
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Autor:
Polverini, Giulia, Gregorcic, Bor
Publikováno v:
European Journal of Physics 45 (2024) 025701
The paper aims to fulfil three main functions: (1) to serve as an introduction for the physics education community to the functioning of Large Language Models (LLMs), (2) to present a series of illustrative examples demonstrating how prompt-engineeri
Externí odkaz:
http://arxiv.org/abs/2309.12074