
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