About Sasha Poquet

I am a researcher at the Centre for Change and Complexity in Learning, at the University of South Australia.  I am interested in how human, technological, and artificially intelligent agents can change peer learning behaviour  and knowledge processes in digital settings. My research is situated on the intersection of learning analytics and computational social science.

I work on projects that

  • study how networks of learners form,
  • measure social learning behaviours, and
  • analyse the mechanisms of peer effects through digitally-mediated communication.

My research provides a strong foundation for interventions that facilitate peer learning in digital settings at the university-level, at the course-level, and at a task-level. I cooperate with researchers who build learning systems to direct my research towards impact. I rely on mixed methods studies that combine network science, with other computational techniques and qualitative methodologies, such as interviews, observations, and case studies.

Other research interests include:

  • human interaction with artificially intelligent agents during their knowledge processes
  • complexity leadership in learning analytics adoption
  • changing underlying cognition of experts using simulations

I am active in the learning analytics community, currently serving as one of the Vice-Presidents on the Executive Committee of the Society for Learning Analytics Research (SoLAR).

My work thus far has been guided by a broad question: What do effective learning networks look like, and how can they be facilitated? I wrote some on more recent thoughts around my research agenda.

By ‘the effectiveness of the network’ I refer to network’s capacity to foster individual or group-level learning outcomes of interest, ie. learning gain, perceived learning, quality of the shared discourse, formation of group identity or a community, development of an innovative idea in a competition, etc.

I am recently interested in mechanisms of complex contagion for learning behaviour change through network ties.

I enjoy collaborative work with students and colleagues from different backgrounds. Please, reach out if you are interested in networks in learning settings. You can learn about my work in my CV or ResearchGate. I also am available on Twitter and LinkedIn.