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Published in IEEE Access, 2022
This paper introduces LAIGA , a machine learning-based framework for automatically and passively assessing and identifying leaders in college students from their academic profiles and behavior in the learning management system (LMS).
Pongpaichet, S., Nirunwiroj, K., & Tuarob, S. (2022). Automatic assessment and identification of leadership in college students. IEEE Access, 10, 79041–79060. https://doi.org/10.1109/ACCESS.2022.3193935
Published in Advances in Quantitative Ethnography: Fifth International Conference on Quantitative Ethnography: Conference Proceedings Supplement, 2023
This study aims to investigate the behavior and interaction between two prominent large language models: ChatGPT (GPT3.5) developed by OpenAI and Bard AI developed by Google.
Nirunwiroj, K. (2023). Chitchat Bots: A Comparative Study and Behavioral Analysis of Large Language Models Using Epistemic Network Analysis. Advances in Quantitative Ethnography: Fifth International Conference on Quantitative Ethnography: Conference Proceedings Supplement, 154-157 https://www.qesoc.org/images/pdf/ICQE23_Supplement_Proceedings.pdf#page=157
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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