ACS Panel Discussion: How AI transforms the learning experience
Join us for this thorough panel discussion featuring AI and education experts to discuss how Artificial Intelligence transforms the education system.
Thu 04 Mar 2021 12:30 PM AEDT
Duration: 1.0 hours
Register by Wed 03 Mar 2021 10:00 AM AEDT
Contact Event Organiser
Virtual
CPD Hours: 1
Skills Level: -
About this event
Artificial intelligence in Education continues to be an area of great excitement and disappointment.
It is argued that AI will have some of its most significant impact in education, teaching and learning. Development and research in this area are looking at innovations in personalisation, retention, online learning and self-regulation, just to name a few areas of intense investigation.
To progress this work, across schools, higher education and into lifelong learning, educators, researchers and industry need to combine efforts to create meaningful and empirically based tools focused on real education problems and practices.
However, there are a number of difficulties in taking advantage of AI in teaching and learning, such as collecting quality data, lack of effective technical tools, systemic challenges for integration and severe problems in effective interpretation and use of AI results.
The result of these issues, among others, is a lack of direct connections between AI and real-life educational contexts. In this panel, we will explore some of the current highs and lows of AI in Education, some of the technologies (e.g. "teachnology", robots, speech interaction, VR/AR), enabling and constraining aspects of the field and how Australia might progress in this area, into the future.
In this discussion, our panel will address several topics to understand how analytics, data and AI can transform the very way we learn:
Notice for ACS Professional Year Students
When attending virtual events, in order to claim and qualify for the required CPD hours, Professional Year students need to attend the online event in its entirety which will be tracked by the ACS events team.
If a cloaking software program is used when connecting to an online event, your attendance cannot be recorded and CPD hours cannot be allocated. This does not include the use of VPN.
Please allow up to 1 week for CPD hours to be allocated to your membership profile.
It is argued that AI will have some of its most significant impact in education, teaching and learning. Development and research in this area are looking at innovations in personalisation, retention, online learning and self-regulation, just to name a few areas of intense investigation.
To progress this work, across schools, higher education and into lifelong learning, educators, researchers and industry need to combine efforts to create meaningful and empirically based tools focused on real education problems and practices.
However, there are a number of difficulties in taking advantage of AI in teaching and learning, such as collecting quality data, lack of effective technical tools, systemic challenges for integration and severe problems in effective interpretation and use of AI results.
The result of these issues, among others, is a lack of direct connections between AI and real-life educational contexts. In this panel, we will explore some of the current highs and lows of AI in Education, some of the technologies (e.g. "teachnology", robots, speech interaction, VR/AR), enabling and constraining aspects of the field and how Australia might progress in this area, into the future.
In this discussion, our panel will address several topics to understand how analytics, data and AI can transform the very way we learn:
- What needs to be reformed in the current system to be prepared to be 'future-ready'?
- Current applications Adaptive Learning
- The future of AI and Big Data in Education
- Ethics and Duty of Care around data for learners
Notice for ACS Professional Year Students
When attending virtual events, in order to claim and qualify for the required CPD hours, Professional Year students need to attend the online event in its entirety which will be tracked by the ACS events team.
If a cloaking software program is used when connecting to an online event, your attendance cannot be recorded and CPD hours cannot be allocated. This does not include the use of VPN.
Please allow up to 1 week for CPD hours to be allocated to your membership profile.
For the sole purpose of registering you for this event, your registration details have been shared with Redback conferencing. Please refer to the Redback Data Policy at https://www.redbackconnect.com.au/privacy-policy/ for confirmation that the data will not be used for any other purpose outside of this webinar.
Speakers
Panellist
Sarah Howard
Associate Professor of Digital Technologies in Education, University of Wollongong
Sarah Howard is the Education Lead in the SMART Infrastructure Facility, a full member of the Early Start Research Institute. Her research looks at technology related change in schools and higher education, specifically teacher practice and integration in learning. A key focus of this work is designing ways to use new technologies to observe the classroom and use multimodal data to inform meaningful digital technology use. She collaborates closely with academics across Australia, internationally, and industry partners, such as Google and Intel, to build the critical public-private collaborations needed to support in-depth and exploratory research.
Sarah Howard is the Education Lead in the SMART Infrastructure Facility, a full member of the Early Start Research Institute. Her research looks at technology related change in schools and higher education, specifically teacher practice and integration in learning. A key focus of this work is designing ways to use new technologies to observe the classroom and use multimodal data to inform meaningful digital technology use. She collaborates closely with academics across Australia, internationally, and industry partners, such as Google and Intel, to build the critical public-private collaborations needed to support in-depth and exploratory research.
Panellist
Simon Buckingham Shum
Director & Professor of Learning Informatics
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, specialising in the human-centred design of educational data science tools used by thousands of students.
Prior to this, he was Professor of Learning Informatics at the UK Open University’s Knowledge Media Institute. He brings a background in Psychology, Ergonomics and Human-Computer Interaction, and a career-long fascination with making thinking visible using software. His books include Visualizing Argumentation and Knowledge Cartography.
He has been active in shaping the field of Learning Analytics over the last decade, co-founding the Society for Learning Analytics Research, and has contributed to academic and AUS/UK government consultations on the ethics of educational analytics/AI.
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, specialising in the human-centred design of educational data science tools used by thousands of students.
Prior to this, he was Professor of Learning Informatics at the UK Open University’s Knowledge Media Institute. He brings a background in Psychology, Ergonomics and Human-Computer Interaction, and a career-long fascination with making thinking visible using software. His books include Visualizing Argumentation and Knowledge Cartography.
He has been active in shaping the field of Learning Analytics over the last decade, co-founding the Society for Learning Analytics Research, and has contributed to academic and AUS/UK government consultations on the ethics of educational analytics/AI.
Panellist
Judy Kay
Professor of Computer Science at the University of Sydney
Judy Kay is Professor of Computer Science. She leads the Human Centred Technology Research Cluster, in the Faculty of Engineering and IT 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.
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.
She has integrated this into new forms of interaction including virtual reality, surface computing, wearables and ambient displays. Her research has been commercialised and deployed and she has extensive publications in leading venues for research in user modelling, AIED, human computer interaction and ubicomp.
She has had leadership roles in top conferences in these areas and is Editor-in-Chief of the IJAIED, International Journal of Artificial Intelligence in Education (IJAIED) and Editor of IMWUT, Interactive Mobile Wearable and Ubiquitous Technology (IMWUT).
Judy Kay is Professor of Computer Science. She leads the Human Centred Technology Research Cluster, in the Faculty of Engineering and IT 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.
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.
She has integrated this into new forms of interaction including virtual reality, surface computing, wearables and ambient displays. Her research has been commercialised and deployed and she has extensive publications in leading venues for research in user modelling, AIED, human computer interaction and ubicomp.
She has had leadership roles in top conferences in these areas and is Editor-in-Chief of the IJAIED, International Journal of Artificial Intelligence in Education (IJAIED) and Editor of IMWUT, Interactive Mobile Wearable and Ubiquitous Technology (IMWUT).
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