New video captures CIC/Health collaboration on automated feedback to nursing teams

This exciting new video captures the way that CIC works with faculty academics to identify teaching and learning challenges, co-design new forms of automated feedback, powered by data and analytics, and deliver this via engaging user interfaces. This work comes from the PhD work of Vanessa Echeverria, who recently graduated from CIC, and building on this, the ongoing PhD of Gloria Fernandez-Nieto. Congratulations to them on this ground-breaking work, and to their supervisors (Roberto Martinez-Maldonado, Simon Buckingham Shum and Kirsty Kitto).

To learn more, check out these two research papers, with even more on Vanessa’s website www.VanessaEcheverria.net:

• Echeverria, V., Martinez-Maldonado, R. and Buckingham Shum, S. (2019). Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data. In Proceedings of ACM CHI Conference (CHI’19). ACM, New York, NY, USA, Paper 39, pp.1-16. DOI:10.1145/3290605.3300269
• Martinez-Maldonado, R., Echeverria, V., Fernandez-Nieto, G. & Buckingham Shum, S. (2020). From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics. Proc. ACM CHI 2020: Human Factors in Computing Systems (April 25–30, 2020, Honolulu, HI, USA), Paper 21, pp.1-15. DOI:10.1145/3313831.3376148 [Open Access Eprint]