Dr Andrew Gibson

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PhD (Queensland University of Technology), GradDipInfoTech (Queensland University of Technology), BEdSt (University of Queensland), DipT (Brisbane College of Adv. Ed.)

Andrew Gibson is an information scientist researching the intersection of cognition, time, and personal wellbeing. He is a Senior Lecturer in Information Science within the School of Information Systems, Faculty of Science, Queensland University of Technology (QUT). His research investigates structures and processes of cognitive systems, and involves both conceptual and computational modelling. This work includes topics such as the nature of abduction, the significance of complexity and holism in cognitive systems, experience of flow and temporal distortion and the relationship to wellbeing and learning, and cognitive reflexivity for learning. Andrew’s work is influenced by the philosophy of classical pragmatism, and has been applied extensively within the transdisciplinary field of learning analytics. Andrew also explores alternative quantum-like models of extended cognitive systems, and their potential for computational modelling and data analytics in areas of human experience.

Andrew currently supervises higher degree research students, teaches postgraduate and undergraduate data analytics, and brings a diverse industry experience to his academic work. Prior to his academic career, Andrew worked in management roles in IT, education and creative production, entrepreneurial roles in small technology startups, and as secondary school music teacher specialising in music technology.

Andrew holds a PhD in Information Science, a Bachelor degree in Educational Studies, Postgraduate diploma in Information Technology, and Diploma in Teaching.

Additional information

Further details of Andrew's industry experience can be found on his linkedIn page: www.linkedin.com/in/andrewresearch

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2017
Details
Lead Author, Best Full Paper Winner at Learning Analytics and Knowledge Conference, Vancouver 2017 (LAK17) for "Reflective Writing Analytics for Actionable Feedback"
Title
Improving Outcomes through Accessible Assessment and Inclusive Practices
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP180100830
Start year
2019
Keywords
  • Identifying and Supporting Curious Learners with Learning Analytics
    PhD, Principal Supervisor
    Other supervisors: Professor Peter Bruza
  • Trust, Holistic Processing and Incompatibility in Cognition
    PhD, Associate Supervisor
    Other supervisors: Professor Peter Bruza