Search Results for: kitto

Transitions through Lifelong Learning: Implications for learning analytics By Kirsty Kitto et al.  Available via the ScienceDirect (https://www.sciencedirect.com/science/article/pii/S2666920X21000333?via%3Dihub) Published: 2021 The following abstract is extracted from the publication. The ability to develop new skills and competencies is a central concept of lifelong learning. Research to date has largely focused on the processes and support individuals require to engage in up...
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Associate Professor Dr. Kirsty Kitto from CIC was a panelist in a webinar held on April 27, 2023. The webinar, titled "Generative AIs and their Implications for the Future of Work and Employability," explored the potential of generative AIs such as ChatGPT 4 and DALL·E 2 in shaping our work futures and the skills and capabilities that will be required. Dr. Kitto, an expert in learning analytics joined Kim Flintoff, an educational transformation consultant, to discuss the implications of generati...
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We are delighted to announce that Kirsty Kitto has joined CIC as a Senior Lecturer in Data Science. Kirsty brings a transdisciplinary approach to the challenge of modelling, and deploying data science applications in complex social systems (such as learning), and is respected internationally within the Complex Systems,  Learning Analytics, and ExperienceAPI (xAPI) communities. We’ll let her introduce herself! I create novel computational and mathematical approaches to the modelling of cogniti...
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Kirsty Kitto (CIC Assoc. Prof. Data Science) has a new paper critically examining visions of the "Skills Passport", and identifying two key challenges that must be overcome for such a concept to become reality. In the light of the Australian Universities Accord report, this could not be more timely to inform the debate. Here's the latest work she will present at UMAP24 — the premier international conference for researchers and practitioners working on systems that adapt to individual users, t...
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Last week, CIC celebrated 3 of our students as they graduate with their PhD.  Dr. Vanessa Echeverria Barzola Year of completion: 2020 (commenced 2016) Thesis title: 'Designing Feedback for Collocated Teams using Multimodal Learning Analytics' Supervisor/s: Prof. Simon Buckingham Shum & Dr. Roberto Maldonado Martinez Thesis access link: https://opus.lib.uts.edu.au/handle/10453/140936 Dr. Vanessa Echeverria Barzola is now a Postdoctoral Fellow at Monash University, Austra...
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Using causal models to bridge the divide between big data and educational theory A new journal paper by Kirsty Kitto, Ben Hicks and Simon Buckingham Shum has just been published in the British Journal of Educational Technology: Abstract: With the proliferation of data in educational settings it is becoming even more important to ensure analytical results are grounded in reality. Ideally we would like to embed our theoretical concepts from the learning sciences in our data products ...
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