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Kelly Trezise
University of Melbourne
@Kelly_Trezise

Paula de Barba
University of Melbourne
@paula_barba

David Jennens
Vericus Pty Ltd
@cadmus_io

Alexander Zarebski
Vericus Pty Ltd

Robert Russo
Vericus Pty Ltd
@cadmus_io

Gregor Kennedy
University of Melbourne

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Abstract

Essay writing is a fundamental part of higher education. Students’ use of self-regulatory skills, such as time management and planning and writing strategies, while writing essays predicts better writing quality. Current characterisations of the relationship between self-regulation and essay writing are limited by the difficulty of assessing self-regulation in real-life essay writing contexts.

This paper reports on a novel approach to examine students’ use of self-regulation strategies in a real-life setting, using learning analytics. Four case studies are presented to illustrate similarities and differences in students’ use of time management and planning and writing strategies. Participants managed their time in very different ways to complete the assignment. They were active over a different number of days, engaged in sessions of different durations, and at different times of the day. The participants used variety of approaches to their writing: one participant started early and allowed editing time, another typed gradually over a number of days, and two participants waited until the due date to complete the essay, with varying amounts of editing. Findings from this research contribute to a novel detailed empirical evidence of different essay preparation behaviour in real-life settings. After further studies with a variety of essay types and student samples, there may be significant value in using the approach outlined in this paper as the basis of tools to provide students with advice and support in their essay preparation.

About the authors

Kelly Trezise

Dr Trezise is currently a Research Fellow at the Melbourne Centre for the Study of Higher Education, working with the Educational Technology Research Group. She also works at the Melbourne School of Psychological Sciences. She is primarily interested in identifying individual differences in patterns of learning. Dr Trezise researches how cognition, emotion, and educational contexts, and their effect on learning processes and educational outcomes. With the CHSE she examines how educational technology and cognition interact during learning. Kelly uses a variety of analytical methods, including finite mixture models, to examine processes that contribute to learning and development. In her PhD completed at the Melbourne School of Psychological Sciences, Kelly examined maths anxiety¬cognition interactions and their relationship with algebraic problem solving in adolescents.

Paula de Barba

Paula de Barba is a Research Fellow in Higher Education with the Melbourne Centre for the Study of Higher Education at The University of Melbourne. Her current research is in the areas of educational psychology and educational technology. Paula is interested on how students’ cognition and emotions influence their learning, and how technology can support and promote learning. Constructs investigated include self-regulated learning, achievement motivation, interest, and feedback.

David Jennens

David holds a PhD in Particle Physics from The University of Melbourne on measuring the decay rate of the Higgs Boson into tau lepton pairs. He performed his research in collaboration with the ATLAS experiment at the Large Hadron Collider with the European Organisation for Nuclear Research (CERN) and the Center of Excellence for Particle Physics (COEPP). During this research period he contributed to the ATLAS detector calibrations. This work led to him being included on the ATLAS collaboration author list for several papers, including the discovery of the Higgs Boson. David currently leads a team using data collected through Cadmus to improve the quality of teaching and learning at universities.

Alexander Zarebski

I am an applied mathematician in the University of Melbourne’s School of Mathematics and Statistics. After obtaining a Master’s degree in mathematics and statistics in 2014, I turned my attention towards modelling infectious diseases, primarily influenza, to produce forecasts of transmission through the population. In addition to my work in quantitative epidemiology, I have a keen interest in education. This has led me to tutor a range of subjects in the School of Mathematics and Statistics. I also work as a data scientist at the technology start-up Vericus where I develop algorithms to analyse students’ interactions with educational technology.

Robert Russo

Robert is the Chief Product Officer at Cadmus and is responsible for product strategy. Robert graduated in 2014 from the University of Melbourne with a Masters of Engineering. Under Robert, Cadmus’ focus has been on ensuring all product decisions align with best teaching and learning practice.

Gregor Kennedy

Gregor Kennedy is Pro Vice-Chancellor (Teaching and Learning) at the University of Melbourne and Director of the Melbourne Centre for the Study of Higher Education. Gregor is an international leader in educational technology research and development, particularly in the context of higher education. He has longstanding research interests in contemporary learning design and emerging technologies, educational technology research and evaluation, interactivity and engagement in digital learning, 3D immersive virtual environments, and the use of learning analytics in digital learning environments. He has published widely in these areas and is a regular keynote and invited presenter at local and international conferences. As Pro Vice-Chancellor (Teaching and Learning) Gregor leads the University’s strategy in teaching, learning and assessment, curriculum innovation, and the use of learning technologies and learning analytics.