Organizer: Pablo Munguia
Date: 4-8 March 2019
Type of event: workshop
Proposed schedule and duration: full-day split into two half day sessions.
Type of participation: ‘open’ workshop (i.e., any interested delegate may register to attend)
The workshop/tutorial activities that participants should expect: small group activities,
discussion groups, interactive.
Expected participant numbers: 10-15
Planned dissemination activities to recruit attendants: LAK Newsletter, targeted emails,
Required equipment: Screens to project from laptops.
Workshop A - Morning session
The first workshop focuses on the components of an engagement strategy such as the data sets needed, the visualization tools and the analytical solutions, and how to combine these to ensure they can cater to different disciplines. There are three main sections here, first introducing data to academics. Second, how to use the tools and datasets available. Particular attention is designing tools that can be used by people with interest in a quick and shallow understanding of what is happening in a course, and those with a deep dive that will be seeking raw data or coding scripts. Third, how to generate self-reflection, sharing information and insights amongst colleagues. Different tools that have been currently developed will be shared amongst workshop participants including their instruction manuals, allowing for ways to improve the visuals needed in the teaching practice.
Given these objectives, the workshop will be ran through small teams that will quickly triage strategies to engage within the activities for academics but also how to increase the span amongst academics.
Workshop B - Afternoon session
The second workshop focuses on developing tactics for increasing engagement with learning analytics solutions across a university or large unit (e.g., faculty or college). These tactics involve marketing solutions, top-down, and bottom-up approaches. Particular attention will be given to policy within the university and ways to reduce anxiety in academics when sharing their insights and ways to improve their practice. Session two will be relying on small team development of ideas and then testing these amongst the broader group.
Session organizer information
Associate Professor Pablo Munguia is the Director, Learning Analytics at RMIT within the Education Portfolio. Pablo is originally from Mexico. His career trajectory includes a PhD from Florida State University; a postdoc at the Smithsonian Institution; and Assistant Professorship at The University of Texas at Austin; and most lately via the University of Adelaide, where he lectured in the School of Biological Sciences. His ecological research focuses on ecology and evolution of marine species, from diversity patterns in spatially structured communities, to climate change effects on mating behavior, to thermal constraints in intertidal crustaceans and mollusks. His learning analytics research focuses on metric design, behavioural modeling, and student-information interactions at multiple scales. He is a recipient of the Best Teacher Award from the University of Adelaide and is a Fulbright fellow. He has held several editorial roles across major journals and currently is Editor in Chief of J. Exp. Mar. Biol. Ecol. and Handling Editor of Oecologia.
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