I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment
<|reference_start|>I See You: Teacher Analytics with GPT-4 Vision-Powered Observational Assessment: This preliminary study explores the integration of GPT-4 Vision (GPT-4V) technology into teacher analytics, focusing on its applicability in observational assessment to enhance reflective teaching practice. This research is grounded in developing a Video-based Automatic Assessment System (VidAAS) empowered by GPT-4V. Our approach aims to revolutionize teachers' assessment of students' practices by leveraging Generative Artificial Intelligence (GenAI) to offer detailed insights into classroom dynamics. Our research methodology encompasses a comprehensive literature review, prototype development of the VidAAS, and usability testing with in-service teachers. The study findings provide future research avenues for VidAAS design, implementation, and integration in teacher analytics, underscoring the potential of GPT-4V to provide real-time, scalable feedback and a deeper understanding of the classroom.<|reference_end|>
@article{lee2024i,
    title={I See You: Teacher Analytics with GPT-4 Vision-Powered Observational
  Assessment},
    author={Unggi Lee, Yeil Jeong, Junbo Koh, Gyuri Byun, Yunseo Lee, Hyunwoong
  Lee, Seunmin Eun, Jewoong Moon, Cheolil Lim, Hyeoncheol Kim},
    journal={arXiv preprint arXiv:2405.18623},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.18623},
    primaryClass={cs.HC}
}