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Analytics for face-to-face learning

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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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 Martine...
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Where is the teacher? Real-time Feedback to Academics on their use of the Collaborative Learning Spaces

The aim of this talk is to discuss the potential of a new metaphor for bringing Learning Analytics into UTS physical learning spaces that we call Classroom Translucence. A translucent classroom or learning space would be that where activity traces can enhance awareness of teaching and learning practices while ensuring privacy and restricting the use of data for a particular situation. This presentation will showcase an in-house UTS Classroom technology that tracks a teacher’s use of UTS learni...
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A Brief Introduction to Telling Stories with Data

John Naisbitt said: "We are drowning in information but starved for knowledge". This quote is getting increasingly relevant nowadays when we are literally surrounded by data in our everyday lives. Interpreting and communicating data insights is becoming quite critical in all kind of industries. However, finding the story behind the data and communicating it effectively, is significantly harder than just crunching numbers and plotting data points. This seminar is a brief introduction to how to...
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CIC @ ALASI 2018

CIC is making major contributions to training the next generation of Learning Analytics researchers and practitioners. At the forthcoming Australian Learning Analytics Summer Institute, the team is helping to run five sessions. Register now! Innovating learning analytics for sustainable impact Simon Buckingham Shum, Cassandra Colvin, Shane Dawson, Danny Liu, Pablo Munguia and Yi-Shan Tsai Using Canvas data for learning analytics! Kirsty Kitto, Amelia Brennan, Danny Liu, Travis Cox and Steve Le...
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ALASI2019: Multimodal Analytics for Classroom Proxemics

Roberto Martinez-Maldonado1 and Gloria Fernandez Nieto2 Abstract We use the term Classroom Proxemics to refer to how teachers and students use the classroom space, and the impact of this and the spatial design on learning and teaching. The increasing progress in ubiquitous technology makes it easier and cheaper to track students’ and teacher’s  physical actions unobtrusively, making it possible to consider such data for supporting research, educator interventions, and the provision of feed...
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PhD Seminar: Gloria Fernandez Nieto- Providing guidance in Multimodal Learning Analytics visual feedback interfaces for Collaborative Classrooms

PhD Candidate: Gloria Milena Fernandez Nieto Abstract: Feedback is a crucial aspect of classroom-based learning. Delivering high-quality feedback can help students to make well-informed decisions by understanding their learning goals, teacher’s pedagogical intentions, and their actual performance. However, providing actionable feedback is challenging, especially in large classes with many students or groups to follow up. One way to provide automated feedback is through learning analytics (LA...
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Ensuring automated feedback is pedagogically sound (DAFFI 2020)

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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Congratulations Dr Carlos Prieto-Alvarez! Learning Analytics Co-Design PhD

Carlos Prieto-Alvarez was one of the first three doctoral candidates accepted to CIC’s new Learning Analytics PhD Program  in 2016.   So very well done Carlos, as today sees the publication of your thesis, one of the first PhDs in Learning Analytics devoted to the contributions of human-centred design methods (specifically, co-design) investigating how to give non-technical stakeholders, such as educators and students, a voice in shaping Learning Analytics. Our thanks to supervisors Simon Bucki...
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AIED 2020 Best Paper!

CIC-led team scoops Best Paper at the top international forum for AI in Education! We're proud to say that applied Learning Analytics work from a UTS team led by Roberto Martinez-Maldonado (now @Monash Uni) was awarded Best Paper at AIED2020: The 21st International Conference Artificial Intelligence in Education, which is the premier research conference in the field. As ever, papers in this field are highly interdisciplinary, in this case seeing connections forged across educational data scienc...
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