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UTS

Meaningful, impactful dialogue about the ethics of AI in university

Posted on by CIC Editor
Is there a practical way to engage the diversity of a university community in a meaningful, impactful dialogue about the ethical use of AI in teaching and learning? Yes there is, and here's how we did it... In Sept-Dec 2021, under pandemic lockdown, we ran five carefully facilitated, online workshops with a diverse group of students and staff. Their mission: to learn about the emerging world of educational technologies powered by data, analytics, and now AI to engage in critical thinkin...
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Immediate, personalised feedback on reflective writing

Posted on by CIC Editor
The start of the new year is a good moment to distill the key ingredients of the 2 year collaboration around writing analytics (automated feedback to students on their reflective writing), that CIC has built with UTS academic Cherie Lucas from our School of Pharmacy. As with other collaborations (such as with Pip Ryan on her students' legal writing), it exemplifies the co-design process that we initiate with academics, in which we iteratively seek to design an automated feedback tool that st...
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HealthSimLAK: Multimodal Learning Analytics meet Patient Manikins

Posted on by CIC Editor
We are collaborating with the UTS Clinical Simulation team at the Faculty of Health to explore the potential that multimodal learning analytics can bring to generate reflection in Healthcare simulations using patient manikins. Healthcare simulations are hands-on learning experiences aimed at allowing students to practice essential skills that they may need when working with real patients in clinical workplaces. Some clinical classrooms at UTS are equipped with patient manikins that can...
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UTS ECR Grant 2017: High Performance Teamwork Analytics in Physical Spaces

Posted on by CIC Editor
An UTS ECR grant 2017 (20k) was granted to our CIC Educational Data Science Research Fellow, Dr. Martinez-Maldonado to conduct research in the area of High Performance Teamwork Analytics in Physical Spaces. This project aims to create visual analytics techniques to support collocated, high performance teamwork in areas of professional practice. Supporting teamwork is important, as collaborating effectively is a key 21st century workforce skill. The particular added value of this research is tha...
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UTS VCLT Grant 2017: Assessing the impact of automated writing feedback on student revisions in Civil Law

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The collaborative project with UTS Law aims to understand the impact of automated feedback (from a Writing Analytics tool) on student writing. We are investigating this, in the context of UTS Civil Law, by setting a pedagogically meaningful activity integrated into the subject, namely, to improve a relatively poor sample essay.  Students’ revisions to this essay will be logged and analysed to see if students who are given access to the Writing Analytics tool perform differently from control cond...
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UTS VCLT Grant 2017: Noisy Sheets – A Practical Approach to Scalable, Authentic Assessment for Quantitative Literacy

Posted on by CIC Editor
      Project: Noisy Sheets: A Practical Approach to Scalable, Authentic Assessment for Quantitative Literacy This collaborative projects with the UTS School of Mathematical and Physical Sciences will develop an application to support authentic data analytics assessment as a flipped-learning activity. We will develop an application that enables us to share an individual copy of a dataset to all students via google sheets. The dataset will be modified such that each student re...
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UTS VCLT Grant 2017: Investigating the diagnostic potential of a science benchmarking task

Posted on by CIC Editor
The project will investigate student outcomes of a flipped learning ‘benchmarking’ activity in which students are asked to grade and give feedback on sections of assignment that they subsequently write their own versions of.  Prior investigation highlights the enormous benefits of this kind of task, but rarely are outcomes quantitatively evaluated to inform future practice.  This project aims to use a large dataset from Biocomplexity at UTS to inform ongoing development of this learning strate...
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