*apologies for cross posting*

[cid:[email protected]]

It is our pleasure to invite you to SoLAR Webinar "Trust and utility in 
learning analytics" presented by Dr Sandra Milligan from the Melbourne Graduate 
School of Education. In this talk Dr Milligan will discuss the important topic 
of how we are measuring learning and how this relates to the field of learning 
analytics. See the details of the talk below.

Time and date: April 20, 2021, 5-6 PM Eastern US time (10-11 PM London UK, 
April 21 7-8 AM Melbourne)
Location: Zoom (meeting URL provided in the registration email)

To register, go to 
https://www.eventbrite.com.au/e/solar-webinar-trust-and-utility-in-learning-analytics-registration-147030071903

(Also, make sure you follow SoLAR's Eventbrite 
page<https://www.eventbrite.com.au/o/society-for-learning-analytics-research-solar-21953992681>
 to get updates for the future events).

We are looking forward to seeing you at the webinar!

Kind regards,
Society for Learning Analytics Research (SoLAR) Webinar Team
https://solaresearch.org/

Abstract: Ever wondered why your brilliant learning analytics work fails to 
impact schools and colleges? This presentation brings a perspective on this 
problem, drawn from the measurement sciences. The measurement sciences provide 
the tools and mindsets that are used by educators to generate the trust and 
utility that is required to drive uptake of algorithms, apps and other outputs 
from learning analytics. Professor Milligan and her team work extensively in 
the education industry building trusted, useful assessments, apps and tools for 
assessing hard-to-assess competencies, such as general capabilities, 
21st-century skills and professional competence. In this presentation, she 
identifies a series of 'faulty assumptions' that can be detected from time to 
time in the design of learning analytics projects. The assumptions relate to 
how learning, and the assessment of learning, are conceptualised, and how 
learning is best assessed in practice. She will touch on the ambiguous role of 
prediction in learning design, and the vital role of alternative hypotheses in 
ensuring trust and utility when using found data. She will point to some 
practical standards that can be used when designing projects or reviewing them.

Bio: Enterprise Professor Sandra Milligan is Director of the Assessment 
Research Centre at the Melbourne Graduate School of Education, University of 
Melbourne. Sandra's current research interests focus on assessment, recognition 
and warranting of hard-to-assess learning. Her most recent, award-winning 
research examined opportunities for the use of 'big data' and developmental 
assessment approaches on digital learning platforms to support assessment of 
higher-order learning skills. The skills, including so-called '21st century 
skills', or learning skills, have hitherto been difficult for classroom 
teachers to assess. Sandra has an unusually wide engagement with the education 
industry and educational research. Originally a teacher of science and 
mathematics, she is also a former Director of Curriculum in an Australian state 
education department and has held senior research, management and governance 
positions in a range of educational organisations, including government 
agencies, not-for-profits, small start-up businesses and large, listed, 
international corporations.


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