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Workshop Program

Key program information will be made available on this page as it is confirmed.

Keynote Speakers​

Associate Professor Viktoria Pammer-Schindler

Keynote Topic: Data-Related Ethics Issues in Technologies for Professional Learning

Viktoria Pammer-Schindler is assistant professor at the Graz University of Technology, and a research area head at the Know-Center (a non-for profit research organisation). Viktoria researches designing for lifelong and workplace learning, and other knowledge creating activities. The latter includes, as one instance, the identification and elaboration of data- and artificial intelligence-enabled business models. Viktoria holds a PhD in computer science and a diploma degree in computer science and electrical engineering from the Graz University of Technology, both with distinction.

Schedule​

Professional Learning Analytics Scene Setting

Keyonte speakers will provide an overview of professional and workplace learning analytics to introduce key concepts to guide the direction of the rest of the workshop.

Professional Learning Analytics Case Study Showcase

A selection of rapid-fire presentations which will provide presenters an opportunity to share their research, case studies, examples of professional learning analytics in this space and or their perspectives on how we can grow it in future. Presentations will cover a breadth of work in the area of professional learning analytics, and be followed by Q&A with the audience and facilitated reflections by the workshop chair.

Panel Discussion

Interactive panel discussion featuring professional learning experts reflecting on key questions aligned with workshop. Attendees will have an opportunity to ask questions of the panel during the session to ensure discussion focuses on attendee interests.

Small Group Discussions

Collaborative group-based activities based on experience/interest. Groups will brainstorm solutions to challenges and identify opportunities for future advancement Professional Learning Analytics. Key points for reflection and discussion will include:

  • Inferring knowledge (and gaps) from data generated from workplace technology
  • Developing best-practice for supporting learning using workplace data.
  • Measuring the success of impact of professoinal learning analytics.

Agenda Setting and Next Steps

Reflection on think-tank discussions and agenda setting for how to grow a community of interest in this space.