Home / Articles posted bySimon BuckinghamShum

Author: Simon BuckinghamShum

Job: 4 yr PostDoc: Writing Analytics

CIC Postdoctoral Research Fellow: Writing Analytics (IRC104013) Job Summary [PDF version] [Detailed Person Specification PDF] The University of Technology Sydney has a bold vision to be a world-leading university of technology. We are a dynamic and innovative university in central Sydney, consistently ranked the top young university in Australia. The UTS Connected Intelligence Centre (CIC) is an innovation centre whose mission is to build the university’s capacity to gain insights from an...
Read More

Towards Contested Collective Intelligence

As society's problems get only more complex (not just more complicated), there is growing interest in how we can blend "the cloud with the crowd" — the best of machine intelligence and human intelligence. Specifically, complex, wicked problems are never resolvable by individuals analysing a problem and announcing the solution. Multiple perspectives are needed, and engaging stakeholders in helping to define the problem, never mind deciding what might count as an acceptable solution, is critical. ...
Read More

Addressing educators’ concerns about Learning Analytics

It was a pleasure to spend Tuesday afternoon in Melbourne at the Assessment Research Centre (Director, Sandra Milligan) and Centre for the Study of Higher Education (Director, Gregor Kennedy). There is such a breadth and depth of work in these centres, and I met an extraordinary range of researchers. They invited me to address the concerns that many educators have around "Learning Analytics" — the application of data science to educational data, so here goes... Teaching, Assessment and Learn...
Read More

CIC team edits C21 learning analytics journal

CIC Professors Simon Buckingham Shum and Ruth Deakin Crick have edited a Special Section of the Journal of Learning Analytics, published this week. Simon and Ruth (who is joint with the School of Education & Institute for Sustainable Futures) have curated the world's first collection of researcher and practitioner articles on the challenge of Learning Analytics for 21st Century Competencies. Read their editorial introduction (below) to learn more about why these are so important, and how the...
Read More

Algorithmic Accountability for Learning Analytics

Over recent months, CIC's Simon Buckingham Shum has developed a series of invited seminars at Queensland University of Technology, University of South Australia, University College London and The Open University UK, exploring ethical issues surrounding the application of data science in education — learning analytics. See his blog post for details, replay from UCL below.
Read More

CIC@LAK

CIC was very active at the 6th International Learning Analytics and Knowledge (LAK) Conference in April. Below is a quick guide to find out what they presented... Pre-Conference Workshops, Monday 25 April 8:30am-4:30pm: Simon Buckingham Shum and Simon Knight co-chaired the full-day workshop on “Critical Perspectives on Writing Analytics”, with Andrew Gibson contributing. 8:30am-12:30pm: Simon Knight co-chaired the workshop “Putting Temporal Analytics into Practice: The 5th International...
Read More

Quarterly Highlights (Jan-Mar 2016)

The year has been very busy on both the teaching and research fronts, below you will find all the headlines! For more information read our latest UTS CIC Quarterly Newsletter Students studying the Master of Data Science & Innovation (MDSI) have once again emerged victorious in the second NSW government’s Data Analytics Centre invitational hackathon (having won the inaugural one). We have launched our Learning Analytics PhD program with three $35K Scholarships, and are appointing...
Read More

MDSI students shine (again) in NSW Gov Data Challenge

Students studying the Master of Data Science & Innovation (MDSI) have once again emerged victorious in the second NSW government’s Data Analytics Centre invitational hackathon. Tackling three rounds of a challenge set by Fire and Rescue NSW to differentiate true fires from false alarms, the winning team enriched the dataset provided by adding weather and Twitter data, and generated additional features such as building type. Excitingly, their work may now influence data policy. A combined...
Read More
Top