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LAK17 Reflective Writing Analytics
Gibson, A., Aitken, A., Sándor, Á., Buckingham Shum, S., Tsingos-Lucas, C. and Knight, S. (2017). Reflective Writing Analytics for Actionable Feedback. Proceedings of LAK17: 7th International...
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Learning Analytics vs Cognitive Automation
Keynote, Learning Analytics Summer Institute, Ann Arbor, June 2017
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Black Box Learning Analytics? Beyond Algorithmic Transparency
Tutorial, Learning Analytics Summer Institute, Ann Arbor, June 2017 As algorithms pervade societal life, they’re moving from an arcane topic reserved for computer scientists and mathematicians, to the...
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Future of Journalism - civil discourse technologies
UTS Creative Cluster, Future of Journalism / 08.08.17
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Towards Contested Collective Intelligence
Towards Contested Collective Intelligence Simon Buckingham Shum, Director Connected Intelligence Centre, University of Technology Sydney This talk is to open up a dialogue with the important work of...
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Teaching, Assessment and Learning Analytics: Time to Question Assumptions
Presented by the Assessment Research Centre and the Melbourne Centre for the Study of Higher Education Teaching, Assessment and Learning Analytics: Time to Question Assumptions Simon Buckingham Shum...
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On moving from a theory to a learning analytics application
Thoughts for the ALASI 2017 Panel: Exploring practical impacts of learning analytics on student learning and pedagogical design
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Summer@UTS: Visualisation for Wicked Problems
A WORKSHOP FOR UTS STUDENTS Simon Buckingham Shum (CIC Director) & Kailash Awati (Senior Lecturer in Data Science) This half-day workshop will provide you with hands-on experience mapping issues,...
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Summer@UTS: Building your resilience for complexity
Prof. Simon Buckingham Shum Prof. Ruth Deakin Crick Summer@UTS Workshop, 8th Feb. 2018 Connected Intelligence Centre https://utscic.edu.au/event/resilience-complexity
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What is “Learning Analytics” and Why a Schools Day?
Opening to the inaugural workshop on Learning Analytics in Schools held at LAK18: International Conference on Learning Analytics & Knowledge, Sydney. http://lak18.solaresearch.org
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Embracing Imperfection in Learning Analytics
Kirsty Kitto, Simon Buckingham Shum, and Andrew Gibson. (2018). Embracing Imperfection in Learning Analytics. In Proceedings of LAK18: International Conference on Learning Analytics and Knowledge,...
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Transitioning Education's Knowledge Infrastructure ICLS2018
Keynote Address, International Conference of the Learning Sciences, London Festival of Learning Transitioning Education’s Knowledge Infrastructure: Shaping Design or Shouting from the Touchline?...
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Transitioning Education’s Knowledge Infrastructure ICLS 2018
Keynote Address, International Conference of the Learning Sciences, London Festival of Learning Transitioning Education’s Knowledge Infrastructure: Shaping Design or Shouting from the Touchline?...
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BCII 2016 - Visualizing Complexity
UTS Bachelor of Creative Intelligence & Innovation (BCII) Creativity & Complexity school, February 1-12, 2016 (2 hour lecture/exercises)
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Educational Data Scientists: A Scarce Breed
Panel held at LAK13: 3rd International Conference on Learning Analytics & Knowledge http://simon.buckinghamshum.net/2013/03/lak13-edu-data-scientists-scarce-breed Educational Data Scientists: A...
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Knowledge Art - MDSI Guest Lecture - 1st May 2019
Introductory briefing accompanied by open educational resources at http://simon.buckinghamshum.net/2016/05/knowledge-art-learning-resources/
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Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data
Vanessa Echeverria, Roberto Martinez-Maldonado, and Simon Buck- ingham Shum.. 2019. Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data. In Proceedings of ACM CHI conference...
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Learning Analytics as Educational Knowledge Infrastructure
Abstract: The emerging configuration of educational institutions, technologies, scientific practices, ethics policies and companies can be usefully framed as the emergence of a new “knowledge...
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AI/Data Analytics (AIDA): Key concepts, examples & risks
Despite AI’s potential for beneficial use, it creates important risks for Australians. AI, big data, and AI-informed decision making can cause exclusion, discrimination, skill loss, and economic...
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