Using ChatGPT to annotate a dataset: A case study in intelligent tutoring systems

Author:

Vujinović AleksandarORCID,Luburić Nikola,Slivka Jelena,Kovačević AleksandarORCID

Funder

Republic of Serbia Ministry of Education Science and Technological Development

Science Fund of the Republic of Serbia

Publisher

Elsevier BV

Reference19 articles.

1. Towards a fuzzy multiagent tutoring system for M-learners’ emotion regulation;Abdelkefi,2017

2. Intelligent tutoring systems: A comprehensive historical survey with recent developments (arXiv:1812.09628);Alkhatlan;arXiv,2018

3. Almasri, A., Ahmed, A., Al-Masri, N., Sultan, Y.A., Mahmoud, A.Y., Zaqout, I., Akkila, A.N., & Abu-Naser, S.S. (2019). Intelligent Tutoring Systems Survey for the Period 2000- 2018. 3(5).

4. PaLM 2 technical report (arXiv:2305.10403);Anil;arXiv,2023

5. Language models are few-shot learners (arXiv:2005.14165);Brown;arXiv,2020

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