Search Results for: nursing

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 Martine...
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In an exciting new paper from the Health Simulation Analytics project, we document our approach to give meaning to multimodal group activity data, in order to give personalised feedback to teams as quickly as possible. Inspired by the metaphor of social translucence, we are proposing a vision to make evidence of collaboration translucent. In doing so, we emphasise that besides the obvious social dimension, collaboration also involves epistemic (the task at hand), physical (the use of tools, dev...
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Despite the online revolution, many forms of learning require collocated, embodied expertise. CIC is at the forefront of techniques to provide automated feedback on collocated teamwork. While the pandemic has driven a lot of teaching online, certain forms of learning are impossible to replicate virtually. Hopefully, as we gradually return to campus, students and teachers will once again enjoy the unique energy and experience of being together, working as a team, and using our bodies as well as ...
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We all know that feedback is critical for learning — and we all appreciate how demanding this can be for educators to provide, to many students, in a consistently motivating, and detailed way. This is a challenge studied by educational researchers of feedback design and feedback literacy.   Designing Automated Feedback for Impact brought some of the leading researchers in this field into a 2-day dialogue with researchers developing automated-feedback tools using Learning Analytics/AI.  The or...
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CIC’s work with the Health Faculty has hit a new milestone. As nurses work in teams in an experimental version of the simulation ward, they are now generating data streams from sensors detecting their position, patient treatment actions and arousal levels. A student observer watching the team also logs more complex actions on an iPad that cannot be automatically sensed. This generates a rich dataset of the team’s performance, and in an earlier story we reported the validation of a first prototyp...
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