no code implementations • 20 May 2024 • Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado
The study highlights the importance of clear roles and responsibilities among faculty, students, and administrators for successful GAI integration, supporting a collaborative model for navigating the complexities of GAI in education.
no code implementations • 20 Dec 2023 • Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gašević, Roberto Martinez-Maldonado
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but also raises concerns about data privacy and agency.
no code implementations • 30 Nov 2023 • Lixiang Yan, Roberto Martinez-Maldonado, Dragan Gašević
Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models and diffusion models, holds significant potential for transforming education and enhancing human productivity.
no code implementations • 7 Nov 2023 • Lixiang Yan, Vanessa Echeverria, Gloria Fernandez Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gašević, Roberto Martinez-Maldonado
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research.
no code implementations • 17 Mar 2023 • Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martinez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, Dragan Gašević
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content.