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

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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

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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

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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…

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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

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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

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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