Hodge, Emma-LeighHasan, RahatPoihipi, Eden KathleenBarker, RebeccaBowell, TracyPepperell, NicoleRichardson, AnthonyCorino, Maria-Teresa2024-09-062024-09-062024Hodge, E. -L., Hasan, R., Poihipi, E., & Barker, R. (2024). The robots are coming for your students' feedback. In Bowell, T., Pepperell, N., Richardson, A., & Corino, M. -T. (Eds.), Revitalising Higher Education Insights from Te Puna Aurei LearnFest 2022 (pp. 56-62). Cardiff University Press. https://doi.org/10.18573/conf2.g97819116535091911653504https://hdl.handle.net/10289/16884The Data Analytics team at The University of Waikato gathers student feedback (as rich qualitative data) but manual analysis of these comments poses a time challenge for reporting. To address this, we explored the possibility of condensing qualitative information by leveraging natural language processing (NLP) technology, specifcally Google’s NLP sentiment analysis. We employed a robust coding framework to test the validity of NLP-coded student feedback, analysing 1000 comments from the University’s 2021 course evaluations. Results show a statistical correlation between our sentiment analysis and NLP, ofering promising evidence for NLP’s efcacy in providing accurate, high-level insights into student feedback sentiment.Attribution 4.0 International © The Authors 2024. Open Access. This work is licensed under the Creative Commons Atrribution - NoCommercial - NoDerivs 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/http://creativecommons.org/licenses/by/4.0/EducationChapter in Book10.18573/conf2.g46 Information and Computing Sciences4608 Human-Centred Computing