The document discusses the use of AI and analytics in education, focusing on personalized feedback and support for students through various tools like AWA and the OnTask messaging platform. It also highlights the importance of ethical considerations in educational technology and involves consultations with students and staff regarding these policies. Additionally, it mentions research initiatives aimed at improving learning analytics and addressing confidence constructs within the educational context.

1. UTS CRICOS 00099F
Intro…
Simon Buckingham Shum
Director, Connected Intelligence Centre
Professor of Learning Informatics
Simon.BuckinghamShum.net
cic.uts.edu.au
@sbuckshum
Meeting of the International Society for the Learning Sciences, 2022:
Engaging Learning Scientists in Policy Challenges: AI and the Future of Learning

2. Personalised feedback at scale: (reflective) academic writing
Automated
feedback on
academic writing
available 24/7 to all
students via
AcaWriter
https://cic.uts.edu.au/tools/awa

3. Personalised feedback at scale: building belonging and
coaching better study habits
Use of the OnTask
adaptive messaging
platform to personalise
communications to
students based on
their activity
https://cic.uts.edu.au/tools/ontask

4. Personalised feedback at scale: professional skills
Skills Analytics reports
for students on
course selection
to educators on
curriculum design
to employers on
workforce design
https://cic.uts.edu.au/skills-analytics-to-get-students-on-track

5. Giving voice through Deliberative Democracy
Extended student/staff consultation on the ethics of Analytics/AI in UTS EdTech
https://cic.uts.edu.au/projects/edtech-ethics

6. Research summaries/white papers
for policy consultations
https://simon.buckinghamshum.net/2020/12/evidence-fair-robust-ai-assessment
https://www.uts.edu.au/partners-and-community/initiatives/social-justice-uts/centre-social-justice-inclusion/partnerships/human-rights-technology-project
https://melbourne-cshe.unimelb.edu.au/research/research-programs/technology-enhanced-learning-in-higher-education/the-ethical-use-of-learning-analytics

7. We need
to talk
about…
C
3

8. We need
to talk
about…
Confidence
Constructs
Context

9. Confidence

10. Trustworthy…
…analytics/AI
…assessment

11. Constructs

12. (In)Validating
implicit models
of learning in
software

13. Context

14. AIED takes social
and material form in
specific contexts:
immerse ourselves

15. C
3

16. Confronting our
Catastrophic
Context

17. the
planet’s
dying