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: Specialist advice (TECH) -> Level 5
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).
Read
Event Terms & Conditions
Registration
- Payment in full is required the time of booking in order for the registration to be valid.
- To avoid disappointment, ensure you pay for your booking(s) before the registration closing date. Anyone that has not received a confirmation email will not be on the event attendance list and therefore will not be admitted to the event.
- Online registration ends at the time stated on the event details page.
Cancellation and Refund
All cancellations must be processed through the website, a refund will only be considered if it is at least 3 working days prior to the event.
Disclaimer
- ACS reserves the right to change the program at any time. Every effort will be made to ensure a program of equivalent standard and members are updated with changes.
- All dietary requirements are considered, however we cannot guarantee a 100% allergen free environment.
- ACS reserves the right to prohibit entry or eject any person from an ACS event based on behaviour deemed inappropriate by ACS staff, its agents and/or others working under its authority.
- Filming or streaming by attendees is not permitted. If an attendee is found to be doing so they will be asked to leave the event immediately and further action may be taken.
- Photography and/or filming may take place during this event, by accepting these terms you consent to this. Please let a member of ACS know if you do not want your picture taken.
COVID-19 Event Attendance Compliance
By registering to attend an ACS in person event you are agreeing to the below terms and conditions
- If an attendee is displaying flu or cold like symptoms in the days leading up to the event and therefore is not able to attend, ACS will refund the registration fee.
- If an attendee comes to an event and is displaying flu or cold like symptoms they will be asked to leave
- We ask all ACS members to respect the social distancing guidelines, if an attendee repeatedly disregards these guidelines, they may be asked to leave
- ACS reserves the right to cancel the event within 24 hours' notice if either the speaker or the event host has advised us that they are exhibiting flu or cold like symptoms
- All attendees must provide a valid phone number and email address to be contacted on if there is reason to notify about a possible COVID-19 exposure
Personal information collection notice
By registering for this event, you are providing personal information to the Australian Computer Society. In accordance with the ACS Privacy Policy, ACS collects personal information through registrations and attendances at its events for the purposes of:
- organising and providing the various professional development events held by the ACS (including for example, courses, conferences, seminars, workshops, launches);
- processing and managing event registrations (including catering for dietary requirements);
- maintaining event attendance records;
- contacting registered event guests with information in regard to the event and seeking post-event feedback;
- communicating with you to in relation to future events or ACS products, courses, services, promotions or other products or services that ACS reasonably thinks may be of interest to attendees;
- processing and responding to attendee inquiries; and
- conducting research to improve its events and better understanding needs.
If the required information is not provided, we or any involved third parties, may not be able to respond to you, update you, or provide appropriate services or events to you.
We may obtain personal information directly from you or from someone who registers for the event on your behalf. If you provide us with personal information about another person, you must do so only with their consent and agree to make them aware of this privacy notice.
ACS may share your personal information with third parties for the collection purposes noted above or as set out in our Privacy Policy, where it is reasonably necessary for, or directly related to, one or more of our activities, or required by law.
When you register to participate in an overseas event, we may send personal information we collect overseas.
See our Privacy Policy at https://www.acs.org.au/privacy-policy.html for more information about our privacy practices.