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UTS CRICOS PROVIDER CODE: 00099F
Welcome to the CONNECTED INTELLIGENCE CENTRE …human-centred analytics for societal learning
utscic.edu.au
Simon Buckingham Shum, Director
CIC2 • 17th June 2016
2011 2011
Envisioning “the Data Intensive University”
UTS-wide Forum to consider the profound
implications of the data revolution
UTS IS TAKING DATA AS AN ASSET VERY SERIOUSLY
The Data Intensive University 25 October 2011
A University-wide Forum regarding data analytics will be held on 21 November.
“a university that knows about data, regardless of its volume and diversity. It knows about the use and reuse of data to better inform teaching, learning and research, as well as understand business, society and the university itself, how to learn about and research data, how to store and curate it, and how to apply and develop analytical tools.” Today data is ubiquitous, constantly generated and logged as we go about our daily lives. We are all both consumers and producers of data. To understand our world, we need to understand data.
2011 2011
Envisioning “the Data Intensive University”
UTS-wide Forum to consider the profound
implications of the data revolution
UTS-WIDE FORUM AND DETAILED CONSULTATIONS
OUR CONTEXT
4
Large scale data and analytics are pervading societal life
Big Data has deep societal implications – good and bad – demanding informed debate
The future workforce…
How universities teach, research, operate — and are assessed…
How to equip graduates for “the age of complexity” (Stephen Hawking)
Algorithms are now the focus of huge debate in policy, law, technology, social science and ethics
http://governingalgorithms.org
Institute for the Future http://www.iftf.org/futureworkskills
utscic.edu.au
While analytics aggregate lower level data & A.I. gradually automates lower order skills…
utscic.edu.au
Humans must move to the higher ground…
• Train data scientists to combine algorithmic intelligence with the deep skills that won’t be automated (anytime soon)
• Deploy all the Educational & Data Science expertise we have to cultivate the higher order graduate qualities
While analytics aggregate lower level data & A.I. gradually automates lower order skills…
utscic.edu.au
Curiosity • Reflection • Argumentation • Creativity Values • Epistemic Shifts • Analogical Reasoning…
While analytics aggregate lower level data & A.I. gradually automates lower order skills…
utscic.edu.au
CIC’S MISSION
11
CIC catalyses the use of data and analytics among UTS students, educators, researchers and leaders
We teach human-centred data science • design analytics tools for UTS • evaluate these • disseminate internally and globally
We aim to shape critical debate on big data in education, and societal learning
IML HELPS .
Library . <your unit here?> .
PARTNERING ACROSS UTS
12
Faculties &
Institutes
Student Support
Units
CIC
Business Units
PQU ITD eResearch <your unit here?>
Teaching & Learning
collaborations
Business Education
FEIT Health
Law Science
<your faculty here?>
Research collaborations
FEIT DAB Health FASS <your faculty here?>
3 CHALLENGES WE’RE WORKING ON…
13
Expand the beneficiaries of analytics as a common good
Deliver timely personalised feedback on writing
Deliver timely personalised feedback on teamwork
UTS Data Taskforces Master of Data Science & Innovation (MDSI)
Writing Analytics for critical analysis and reflection.
Collaboration Analytics from multimodal data streams.
CONVENING AN INTERNAL DATA CHALLENGE (GRADUATE EMPLOYMENT RATES)
CONVENING AN INTERNAL DATA CHALLENGE (GRADUATE EMPLOYMENT RATES)
AGS Dataset
Planning & Quality Unit
Student Services/Careers
The ‘clients’ owning the problem
DVC (Education)
CIC
Coordinator/ Broker
School of Math. Sciences
FEIT School of Software
Advanced Analytics Institute
Connected Intelligence Centre
Analytics Experts
TASKFORCE: Clarify dataset, potential contributions, rules of the game, schedule, and operationalise the challenge in
quantifiable terms
A DISTINCTIVE APPROACH TO DATA SCIENCE
utscic.edu.au
machine learning • statistics • data curation • ethics • user experience • information science visualization • narrative • social computing • learning analytics • project management project-based learning • authentic assessment regular, meaningful employer engagement
https://utscic.edu.au/mdsi-students-shine-again-in-nsw-gov-data-challenge MDSI HAS MAINSTREAMED DATA HACKATHONS
From a few teams entering (+ winning) data hackathons in 2015, to embedding day-long events for all students in the core 2016 curriculum
Authentic learning valued by both students and employers
uts.edu.au
Challenge 2
Deliver better feedback on writing to students: 24/7 text analytics
Piloting in: Engineering Law Accounting Pharmacy Life Sciences Data Science Education
Graduate Research School
Highlighted sentences are colour-coded according to their broad type
Sentences have Function Keys signalling where an academic rhetorical move has been
recognised (e.g. a claim of Novelty )
AWA: ACADEMIC WRITING ANALYTICS ANALYTICAL WRITING
REFLECTIVE WRITING (NURSING)
Applications for UTS researchers working with text corpora, e.g. interview transcripts; literature
analysis; scenario planning?
UTS CIVIL LAW: STUDENT FEEDBACK “takes the emotion out of having your work scrutinized” Respondent 12
“it was not embarrassing in the way that it can be when a tutor or marker gives feedback” Student 7
“I realise now what descriptive writing is - the software had quite a bit to say about my lack of justification - also true - pressed for time and difficult circumstances have caused this for me in this instance - good to see it sampled.” Respondent 9
“I definitely found it useful. It also made me realise that I tend to use bold, certain language in making my point towards the end of each paragraph rather than up front at the beginning (when introducing my point).” Respondent 5
22
uts.edu.au
Challenge 3
Collaboration Analytics: online and co-located teamwork
Teaching & Research partnerships being explored with: DAB – CARLAB
Nursing – Simulation Lab FASS – Collaborative & Creative Ideation
FEIT – Visualisation and Embodied Interaction FEIT – Creativity and Cognition Studio
UTS Careers – Collaboration Assessment
Learning is no longer confined to UTS platforms Analytics infrastructure to harvest and analyse activity on diverse sites
?
?
xAPI
OLT Project: Connected Learning Analytics Toolkit http://www.beyondlms.org
Social Network Visualisation of activity across multiple sites
25
COLLABORATION SPACES THAT TRACK F-F ACTIVITY
Analyse the students’ activity traces for significant patterns Timely feedback for personal and team reflection
Multimodal data fusion and analysis… …to deliver visual analytics for reflection e.g. this dashboard shows team member
participation on different modalities Voice
Gesture
Pen
Touch
Applications for UTS researchers working on high performance teams; group dynamics?
COLLABORATION SPACES THAT TRACK F-F ACTIVITY
THANK YOU! JOIN US IN CIC’S MISSION…
CIC catalyses the use of data and analytics among UTS students, educators, researchers and leaders
We teach human-centred data science • design analytics tools for UTS • evaluate these • disseminate internally and globally
We aim to shape critical debate on big data in education, and societal learning
utscic.edu.au