Empowering Learners in the Age of AI - 2020 Conference

Countries around the world are allocating billions of dollars to prepare for Artificial Intelligence — investing in research, enterprise and human capabilities. To meet this emerging reality, students, professionals and citizens need to learn how to interact with AI.

Empowering Learners for the Age of AI is a free, national online conference, mixing national keynote talks with local meetings in different states. We warmly welcome you to join this public conversation on how Australia can equip its citizens to engage productively with societal infrastructure powered by data, analytics and AI.

  • How can data, analytics and AI be used not to disempower or automate work, but to empower learners and professionals?
  • Go deeper on what we mean by “empowering learners” — who needs empowering, why, and to do what?
  • How must  modern knowledge systems (such as schools, universities, corporate training and development, government agencies) change to prepare people for an AI society?
  • How to track and assess the qualities that equip people for this future?
  • Share the opportunities and concerns that you see: this is just the conversation starter!

Audience: The conference will be of interest to individuals with all levels of AI expertise, from beginner to advanced. World-leading researchers and experts will deliver keynotes addresses while discussion panels will explore implications in a range of sectors.

If your interests involve how data, analytics and AI will shape the future of learning, this open conference is for you!

Our Speakers

We are delighted to confirm the following thought leaders as our Keynote Speakers

Rose
Rose Luckin
(University College London)

Rose Luckin is Professor of Learner Centred Design at the UCL Knowledge Lab in London. Her research involves the design and evaluation of educational technology using theories from the learning sciences and techniques from Artificial Intelligence (AI).

Rose Luckin
(University College London)
Sidney D’Mello
(U. Colorado at Boulder)

Sidney D'Mello is Associate Professor at the University of Colorado, Boulder. Leading the new Institute for Student-AI Teaming, D'Mello's expertise includes affective and attentional computing, multimodal interaction, and intelligent learning environments.

Sidney D’Mello
(U. Colorado at Boulder)
Toby Walsh
(UNSW Sydney)

Toby Walsh is a Laureate Fellow, Scientia Professor of AI at the University of New South Wales, and Fellow of the Australian Academy of Science. He was named by the Australian newspaper as a ``rock star`` of Australia's digital revolution. Professor Walsh is a strong advocate for limits to ensure AI is used to improve our lives.

Toby Walsh
(UNSW Sydney)
Judy
Judy Kay
(University of Sydney)

Judy Kay is Professor of Computer Science at the University of Sydney. A core focus of her research has been to create infrastructures and interfaces for personalisation, especially to support people in lifelong, life-wide learning.

Judy Kay
(University of Sydney)

Panelists

Joanna
Joanna L. Batstone
(10.15am, 10 Dec)

Joanna L. Batstone is Professor of Practice in the Faculty of Information Technology and is the inaugural Director of the Monash Data Futures Institute at Monash University. She was previously Vice President, Innovation, IBM Corporate Strategy and held a variety of technical and business leadership roles in IBM's Research and Development Laboratories, including work with IBM Watson Data & AI.

Joanna L. Batstone
(10.15am, 10 Dec)
Neil
Neil Selwyn
(10.15am, 10 Dec)

Neil Selwyn is a Distinguished Research Professor in the Faculty of Education, Monash University who has worked for the past 25 years researching the integration of digital technology into schools, universities and adult learning.

Neil Selwyn
(10.15am, 10 Dec)
Shazia
Shazia Sadiq
(10.15am, 10 Dec)

Shazia Sadiq is Professor and Deputy Head (Research) in the School of Information Technology and Electrical Engineering at The University of Queensland. She is currently leading the ARC Training Centre for Information Resilience.

Shazia Sadiq
(10.15am, 10 Dec)
place
Amanda Galvin
(11.30am, 10 Dec)

Amanda Galvin is part of the cyber security team for the NSW Department of Education.
She sees herself as an information wrangler, finds the best strategies and solutions come
from groups who are “informed, connected and ready to contribute”.

Amanda Galvin
(11.30am, 10 Dec)
Dan Bowen
(11.30am, 10 Dec)

Dan Bowen is a technology strategist with Microsoft working across all technologies
including the AI and Data space. Dan has a passion around the ethical and safe use of AI in
society.

Dan Bowen
(11.30am, 10 Dec)
David
David Kellermann
(11.30am, 10 Dec)

David Kellermann is a Senior Lecturer in the Faculty of Engineering at UNSW Sydney who is principally interested in human-centred AI to enhance the student experience in higher education.

David Kellermann
(11.30am, 10 Dec)
Mark Stanley
(11.30am, 10 Dec)

Mark is Founder/CEO of Literatu, an Australian ML/AI powered platform that helps educators and students improve written literacy skills. The platform supports over 300,000 students and 6000 teachers across 8 countries.

Mark Stanley
(11.30am, 10 Dec)
Raju Varanasi
(11.30am, 10 Dec)

Raju Varanasi is Director, Data Intelligence & CIO at the Catholic Education Office in Parramatta. Emerging work using Machine Learning to build predictive analytics to enable more timely student support is a new development currently in development.

Raju Varanasi
(11.30am, 10 Dec)
Steven
Steven Kolber
(11.30am, 10 Dec)

Steven Kolber is a proud public Government school teacher who has been teaching English, History and EAL for 10 years. Passionate about teacher collaboration, he runs the ‘Teachers Educational Review’ podcast & ‘Mr Kolber’s Teaching’ YouTube channel.

Steven Kolber
(11.30am, 10 Dec)
Michelle
Michelle Perugini
(1.30pm, 10 Dec)

Michelle has a PhD in Medicine and has founded 2 global AI tech companies,
her first which was acquired by EY in 2015. She is Co-Founder and CEO of
Presagen an AI Healthcare company.

Michelle Perugini
(1.30pm, 10 Dec)
place
Paul Gaertner
(1:30pm, 10 Dec)

Paul has a PhD in applied mathematics and is the Defence lead for the Science, Technology and Research program on Agile Command and Control.

Paul Gaertner
(1:30pm, 10 Dec)
Hassan Khosravi
(2.45pm, 10 Dec)

Hassan Khosravi is a Senior Lecturer at The University of Queensland. He draws on theoretical insights from the learning sciences and exemplary techniques from the fields of human-computer interaction, learning analytics and crowdsourcing.

Hassan Khosravi
(2.45pm, 10 Dec)
Janet
Janet Wiles
(2.45pm, 10 Dec)

Janet Wiles received her PhD in Computer Science from the University of Sydney, and completed a postdoctoral fellowship in Psychology. She has been involved in research and teaching in cognitive science, complex systems, machine learning, artificial intelligence, visualisation and social robotics.

Janet Wiles
(2.45pm, 10 Dec)
Thor Turrecha
(2.45pm, 10 Dec)

Thor is a leader in digital innovation, with a demonstrated history in experience design for vision AI solutions that bridge digital and physical. He leads a team that “teaches machines to see like humans”.

Thor Turrecha
(2.45pm, 10 Dec)
Nicola
Nicola Johnson
(10.15am, 11 Dec)

Nicola Johnson researches the intersections of sociology, technology and education within both social and formal settings. She utilises a range of critical theories to problematise and address interesting issues across various disciplines and fields.

Nicola Johnson
(10.15am, 11 Dec)
Michelle
Michelle Michael
(10.15am, 11 Dec)

Michelle Michael is currently the Director, Educational Support for NSW Department of Education. Her current role provides statewide leadership and strategic advice for the implementation of initiatives and reforms that are forward focused and responsive to educational.

Michelle Michael
(10.15am, 11 Dec)
srecko
Srecko Joksimovic
(10.15am, 11 Dec)

Dr Srecko Joksimovic is a Senior Lecturer in Data Science at the Education Futures, University of South Australia. His research is centred around augmenting abilities of individuals to solve complex problems in collaborative settings.

Srecko Joksimovic
(10.15am, 11 Dec)
Margaret
Margaret Bearman
(10.15am, 11 Dec)

Margaret Bearman is a Research Professor within the Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University. Her researcher interests are assessment and feedback in education and technology-mediated and simulation-based education.

Margaret Bearman
(10.15am, 11 Dec)
Kalervo Gulson
(10.15am, 11 Dec)

Kalervo Gulson is Professor and Australian Research Council Future Fellow at the University of Sydney. He is interested in the possibilities and limits of using Artificial Intelligence in education policy areas.

Kalervo Gulson
(10.15am, 11 Dec)
Juliana
Juliana Peloche
(10.15am, 11 Dec)

Juliana Peloche is a PhD candidate at the University of Wollongong with more than 20 years of classroom teaching experience. Her research considers the impact of teachers' perceptions on adoption of AI in learning.

Juliana Peloche
(10.15am, 11 Dec)
Kate
Kate Quigley
(10.30am, 11 Dec)

Dr. Kate Quigley is Associate Professor in Aviation. She has 17 years of undergraduate and graduate teaching experience and has chaired over 100 graduate theses projects. She holds a Doctorate of Management and a Ph.D. in Psychology.

Kate Quigley
(10.30am, 11 Dec)
Damien
Damien Coyle
(10.30am, 11 Dec)

Damien Coyle is the Principal Technologist at Comunet. He is a specialist in the delivery of Managed Data Lakes for use in data science, AI and education contexts. He is an AWS Ambassador appointed for excellence in AWS and regular contributions to the tech community.

Damien Coyle
(10.30am, 11 Dec)
Vitomir
Vitomir Kovanović
(10.30am, 11 Dec)

Dr Vitomir Kovanović is a Senior Lecturer at the Centre for Change and Complexity in Learning at the University of South Australia working in the area of Learning Analytics.

Vitomir Kovanović
(10.30am, 11 Dec)
Simon Harper
(11.30am, 11 Dec)

Simon is the Head Teacher Technology and Learning at Killara High School. He is interested in how AI can drive education and build enterprise skills for our students' future work.

Simon Harper
(11.30am, 11 Dec)
Jane
Jane Hunter
(11.30am, 11 Dec)

Jane is a former K-12 head teacher and curriculum leader. Her research in teacher education focuses on the pedagogical framework of High Possibility Classrooms, STEM and building teacher capacity.

Jane Hunter
(11.30am, 11 Dec)
Adrian
Adrian Tyson
(11.30am, 11 Dec)

Adrian is NSW DoE teacher and co-founder of Neuranext Artificial Intelligence. Adrian has developed the first ever NESA approved course in A.I.. Since launching in March 2019 just over 1000 students and teachers have learnt about A.I. with Adrian.

Adrian Tyson
(11.30am, 11 Dec)
Carmel Taylor
(11.30am, 11 Dec)

Carmel is the Head Teacher Communication and Technology at Dulwich High School of Visual Arts and Design (Sydney). She is interested in the emergence of AI in schools and its benefits for individualised and targeted teaching and learning approaches.

Carmel Taylor
(11.30am, 11 Dec)
Tim Bradley
(2.30pm 11 Dec)

Tim Bradley is General Manager of Emerging Technologies in the Digital Economy & Technology Division, coordinating the national consultation on the AI Action Plan for Australia

Tim Bradley
(2.30pm 11 Dec)
Ian Oppermann
(2.30pm, 11 Dec)

Ian Oppermann is Chief Data Scientist and CEO, NSW Data Analytics Centre, President of the Australian Computer Society, and Industry Professor at University of Technology Sydney

Ian Oppermann
(2.30pm, 11 Dec)
Ruth Marshall
(2.30pm, 11 Dec)

Ruth Marshall is Director of R&D and Data Integrity at Australian Education Technology company Practera where she works with universities and research organisations to innovate new ways of delivering high quality work integrated learning and lifelong learning skills development at scale.

Ruth Marshall
(2.30pm, 11 Dec)

Watch now

Missed the event? You can watch the sessions with the links below.

Sidney D’Mello
(U. Colorado at Boulder)

Sidney D'Mello is Associate Professor at the Institute of Cognitive Science, University of Colorado, Boulder. He is widely respected as a leader in the fields of affective and attentional computing, multimodal interaction, speech and discourse processing, and intelligent learning environments, and is the Principal Investigator of the new NSF-funded Institute for Student-AI Teaming. D'Mello's team conducts basic research on affective and cognitive states (e.g., confusion, boredom, mind wandering) across a range of interaction contexts, develops real-time computational models of these states, and integrates the models in affect- and attention- aware intelligent technologies. Their research uses a range of techniques such as eye tracking, speech recognition, physiological sensing, computer vision, nonlinear time series analyses, discourse modeling, and machine learning. Interaction contexts include intelligent learning environments, educational games, collaborative problem solving, classroom discourse, text, scene, and film comprehension. Data is collected in the lab, online, and in schools.

Dragan
Dragan Gašević
(Monash University)

AI has already made a marked impact on several spheres of work and society. Changes effected with the use of AI in some areas are well-documented such as medical diagnostics, digital marketing, and robotics. The role of AI in the future will keep growing and will drive change across all aspects of work and society such as trades, farming, mining, energy, health, finances, education, and taxation.

This panel aims to outline the context that requires empowerment of learners for the age of AI. The panel will also discuss the needs for equipping learners to work with AI across different sectors of work and aspects of life.

Simon
Simon Buckingham Shum
UTS

This panel brings together stakeholders who are ‘doing AI’ in some form today, or actively preparing for it. The goal is to provide a snapshot of where we’re at, as well as identify obstacles that we can discuss over the next 2 days. This could range from sobering accounts of how ill-prepared many of our institutions are right now, to eye-opening examples of what’s already happening...

Chair:
Simon Buckingham Shum (UTS Connected Intelligence Centre)

Panellists:
Amanda Galvin (NSW Dept. Education)
Dan Bowen (Microsoft Education)
David Kellermann (UNSW Sydney)
Steven Kolber (Brunswick SC & AEU Victoria)
Mark Stanley (Literatu)
Raju Varanasi (Catholic Education Office)

12.30 PM

George Siemens
George Siemens
(UniSA)

How will AI influence different societal sectors? This panel will explore areas where AI is forecast to have a significant impact, including education, healthcare, and defense.

Chair:
George Siemens (UniSA)

Panellists:
Srecko Joksimovic - (UniSA)
Michelle Perugini - (Presagen)
Paul Gaertner - (Agile Command and Control)

Lina Markauskaite
(UTS)

1. What does it mean to *empower learners* for the Age of AI?
2. What needs to be done to make this happen, and by whom?

Come and join a team to pool ideas on how AI will be changing our world and how we could empower learners to live in that world and shape AI. Your ideas will feed into the next session.

Facilitators:
Lina Markauskaite (The University of Sydney)
Simon Buckingham Shum, Simon Knight, Kirsty Kitto, (University of Technology Sydney)
Sarah Howard (University of Wollongong)
Judy Kay (The University of Sydney)

Maarten de Laat
Maarten de Laat
(University of South Australia)

This panel explores the application of AI to support knowledge processes and human learning. The integration of smart technologies in our daily lives is becoming common place. We are often not even aware of the use of machine learning support digital interaction and provide assistance. Well known examples are conversational agents on the Web to help to navigate websites and provide answers to our questions and the use of smart speakers and wearable devices to assist with our needs and play to our moods.

The aim of this panel is to discuss current use cases and future trends of how AI integrates or interacts with our knowledge processes with the aim to empower human learning, problem-solving and information processing. This can be in Education, Health care, Industry, or Government.

Typical question we seek to address during this panel are:

* What are current examples of hybrid intelligence in action, where human and machine intelligence is combined to facilitate learning or knowledge processing?

* What are the strengths and weaknesses of AI to support knowledge processes?

* What is the value add and risk of combining AI with human learning and decision-making?

* How do we develop trusted human-machine relationships and where will AI take us – can AI truly become a teammate in group learning or a co-author of a ground-breaking scientific discovery?

Toby Walsh
(UNSW)

Toby Walsh is a leading researcher in Artificial Intelligence. He is a Laureate Fellow and Scientia Professor of Artificial Intelligence at UNSW, and leads the Algorithmic Decision Theory group at Data61. He was named by the Australian newspaper as a ``rock star`` of Australia's digital revolution. He has been elected a fellow of the Australian Academy of Science, a fellow of the Association for the Advancement of Artificial Intelligence and of the European Association for Artificial Intelligence. He has won the prestigious Humboldt research award as well as the NSW Premier's Prize for Excellence in Engineering and ICT, and the ACP Research Excellence award. He has previously held research positions in England, Scotland, France, Germany, Italy, Ireland and Sweden. He has played a leading role at the UN and elsewhere on the campaign to ban lethal autonomous weapons (aka ``killer robots``).

Rose
Rose Luckin
(University College London)

Rose Luckin is Professor of Learner Centred Design at the UCL Knowledge Lab in London. Her research involves the design and evaluation of educational technology using theories from the learning sciences and techniques from Artificial Intelligence (AI). She has a particular interest in using AI to open up the 'black box' of learning to show teachers and students the detail of their progress intellectually, emotionally and socially. Rose is also Director of EDUCATE, a London hub for Educational Technology StartUps, researchers and educators to work together on the development of evidence-informed Educational Technology. Rose was named on the Seldon List 2017 as one of the 20 most influential people in Education.

Sarah Howard
University of Wollongong

Whether we are prepared for it or not, AI is already affecting education and educators. In particular, educators have choices to make about how they will adapt and respond to AI and how they may adopt in learning. However, there are also questions to consider about the intent of AI tools in educational spaces: Who are these built for? Who benefits? Who has the control? These questions introduce complicated decisions educators need to make about data responsibility, privacy, duty of care for learners and their own role and identity as teachers and workers. As with many digital technologies brought into learning spaces, there is a balance to be reached but it is unclear what form this takes.

This panel aims to explore some of the complicated decisions and choices educators are faced with when considering how AI is integrated into learning. Specifically, the panel will unpack the implications for educators as they navigate changing learning spaces and expectations in schools and higher education, and into the workplace.

Co-chairs:
Sarah Howard (University of Wollongong)
Juliana Peloche (University of Wollongong)

Panellists:
Michelle Michael (NSW Department of Education)
Margaret Bearman (Deakin University)
Kalervo Gulson (University of Sydney)
Nicola Johnson (Edith Cowan University)

Sarah Howard
University of Wollongong

What could/should AI in School 2030 look like? How do we get there? Do we want to go there?! This panel will convene diverse panellists on how school needs to change to equip teachers and students for the future, and the place of AI in this.

Chair:
Sarah Howard (University of Wollongong)

Panellists
Jane Hunter (University of Technology Sydney)
Adrian Tyson (Neuranext Artificial Intelligence)
Carmel Taylor (NSW Department of Education)
Simon Harper (NSW Department of Education)

Maarten de Laat
Maarten de Laat
(UniSA)

This panel will explore not only technical aspects but also social dimensions of the infrastructures that we need to accommodate AI development and application.

Chair:
Maarten de Laat (UniSA)

Panellists
Vitomir Kovanović 'Vita' – (UniSA/C3L)
Damien Coyle - (University of Ulster)
Kate Quigley – (UniSA STEM/aviation)

12.30 PM

Simon Knight
UTS

In this final NSW led session, we invite you to share your ideas on how we continue this conversation, and build towards Empowering Learners for the Age of AI. As the organisers of this conference, we want to understand how universities can help to equip you, and how we might work in partnership to teach, train, debate, prototype, and evaluate...

You're the key people in this session, we want you to tell us about your ideas! In this session we'll be building on discussions in the previous panels to look at our shared vision for AI and learning, and how we get there together.

Chairs:

Simon Knight (UTS Faculty of Transdisciplinary Innovation, and Centre for Learning in a Technological Society)
Kirsty Kitto (UTS Connected Intelligence Centre)

Simon Buckingham Shum
(University of Technology Sydney)

The Department of Industry, Science, Energy and Resources has just completed a national consultation on a draft AI Action Plan for Australia.* This poses a number of pressing questions which are central to this conference’s interests:

* What is the best way to ensure Australians have the skills and capabilities they will need for an AI enabled future?

* What is the best way to ensure Australian businesses have access to the AI workforce they need for an AI enable future?

* Is there more the government can do to support responsible and human centred development and use of AI in Australia?

* What approach should Australia take internationally to steward its values and commitment to the responsible and ethical use of the AI?

To open up these issues, we’re delighted to have two government colleagues: Tim Bradley (General Manager, Emerging Technologies in the Digital Economy & Technology Division), and Ian Oppermann (Chief Data Scientist and CEO, NSW Data Analytics Centre). From ed-tech company Practera, we welcome Ruth Marshall (Director of R&D and Data Integrity), and from academia, three leaders in Analytics/AI and learning science for academic and professional learning: Shane Dawson, Kirsty Kitto and Lina Markauskaite.

Chair:
Simon Buckingham Shum (University of Technology Sydney)

Panellists:
Tim Bradley (Digital Economy & Technology Division, AUS.Gov)
Shane Dawson (University of South Australia)
Kirsty Kitto (University of Technology Sydney)
Lina Markauskaite (University of Sydney)
Ruth Marshall (Director of R&D and Data Integrity, Practera)
Ian Oppermann (Chief Data Scientist and CEO, NSW Data Analytics Centre)

* https://consult.industry.gov.au/digital-economy/ai-action-plan/

Judy
Judy Kay
(University of Sydney)

Judy Kay is Professor of Computer Science at the University of Sydney, where she leads the Computer-Human Adapted Interaction (CHAI) group. A core focus of her research has been to create infrastructures and interfaces for personalisation, especially to support people in lifelong, life-wide learning. This ranges from formal education settings to supporting people in using their long-term ubicomp data to support self-monitoring, reflection and planning. Central to this has been in the design of the Personis user modelling systems and interfaces that enable people to control their own long-term personal information from diverse sensors on devices be they worn, carried, embedded in the environment or conventional desktops. Judy’s research has been commercialised and deployed, and she is Editor-in-Chief of International Journal of Artificial Intelligence in Education.

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Organisers

The organisers are part of a national team representing leading researchers in the role of data, analytics and AI in learning, to empower both learners and teachers:

Simon Buckingham Shum
University of Technology Sydney

Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre.

Simon Buckingham Shum
University of Technology Sydney
Maarten de Laat
Maarten De Laat
University of South Australia

Maarten de Laat is associate director Centre for Change and Complexity in Learning (C3L), University of South Australia. His research focuses on learning and value creation in social networks.

Maarten De Laat
University of South Australia
Dragan
Dragan Gašević
Monash University

Dragan Gašević is Professor of Learning Analytics in the Faculty of Information Technology and Director of the Centre for Learning Analytics at Monash University.

Dragan Gašević
Monash University
Sarah Howard
University of Wollongong

Sarah Howard is an Associate Professor of Digital Technologies in Education, at the University of Wollongong. She Leads the Education Group in the SMART Infrastructure Facility and is in the Early Start Research Institute.

Sarah Howard
University of Wollongong
Jason Lodge
Jason Lodge
University of Queensland

Jason Lodge, PhD is Associate Professor of Educational Psychology in the School of Education and Institute for Teaching and Learning Innovation at The University of Queensland. Jason’s research focuses on the translation of the science of learning into practice in educational settings, particularly in digital learning environments and higher education.

Jason Lodge
University of Queensland
Lina Markauskaite
University of Sydney

Lina Markauskaite is a Professor of Learning Sciences and Co-director of the Centre for Research on Learning and Innovation, the University of Sydney, Australia. Her research spans three related areas: 1) students and teachers’ digital capabilities; 2) professional learning for complex knowledge work and innovation; and 3) ICT-enhanced interdisciplinary research methods in education (eResearch).

Lina Markauskaite
University of Sydney
George Siemens
George Siemens
University of South Australia /
University of Texas Arlington

Professor George Siemens researches networks, analytics, and human and artificial cognition in education. He has delivered keynote addresses in more than 35 countries on the influence of technology and media on education, organizations, and society.

George Siemens
University of South Australia /
University of Texas Arlington
Abelardo Pardo
Abelardo Pardo
University of South Australia

Abelardo Pardo is Professor and Dean of Programs (Engineering) at UniSA STEM. His research interests include the design and deployment of technology to increase the understanding and improve digital learning experiences. More specifically, his work examines the areas of learning analytics, personalized active learning, and technology for student support.

Abelardo Pardo
University of South Australia
Simon Knight
University of Technology Sydney

Simon Knight is a senior lecturer at the University of Technology Sydney Faculty of Transdisciplinary Innovation, and Director of the Centre for Research on Learning in a Technological Society. He researches critical thinking, drawing on theories of epistemic cognition, and dialogic learning, and using a range of methods including learning analytics.

Simon Knight
University of Technology Sydney
Hassan Khosravi
The University of Queensland

Hassan is a Senior Lecturer at The University of Queensland. He draws on the learning sciences, human-computer interaction, learning analytics and crowdsourcing to invent socio-technical solutions for the delivery of learner-centred, data-driven learning at scale.

Hassan Khosravi
The University of Queensland
Lester-Irabinna Rigney
University of South Australia

Professor Lester-Irabinna Rigney: One of Australia’s most respected Aboriginal educationalists Professor Lester-Irabinna Rigney is Professor of Education in the Pedagogies for Justice Group in the Centre for Research in Educational and Social Inclusion, Education Futures, University of South Australia.

Lester-Irabinna Rigney
University of South Australia
Roberto Martinez-Maldonado
Monash University

Dr Roberto Martinez-Maldonado is a Senior Lecturer of Learning Analytics and Human-Computer Interaction in the Faculty of Information Technologies at Monash University, Melbourne. His research focuses on researching, designing and deploying novel tools to support teaching and learning analytics across different physical and digital spaces, with a particular focus on augmenting collaborative learning.

Roberto Martinez-Maldonado
Monash University
Kirsty Kitto
University of Technology Sydney

Kirsty Kitto
University of Technology Sydney