Miss Polly Lai
MHRM(UWS), BSc(NTOU), MLST(Sydney)
A35 - Education Building
The University of Sydney
|Telephone||+61 2 9351 4107|
|Fax||+61 2 9351 5027|
Polly Lai is a research associate and Ph.D. candidate at the Centre for Research on Computer Supported Learning and Cognition (CoCo). Her research investigates the value of using computational models (Agent-Based Models) to learn challenging concepts in nanoscience from embodied cognition perspective. Polly holds Master of Learning Sciences and Technology from The University of Sydney, and a Bachelor of Science degree in electrical engineering. She also has five years work experience with a semiconductor manufacturing company as an instructional designer developing online courses for engineering professional development.
Learning sciences; psychology of education
- Learning technologies: Agent-Based Models and Video-Based Visualisations
- Deep Learning and Embodied Cognition
Research on teaching and learning
- Mathematics and Science
Supervisor: Michael J JACOBSON
Project title: Agent-Based Virtual Learning Environments for Understanding Science
It is vital that students understand science given its relevance in important economic and professional areas as well as for an informed democratic citizenry. This project will conduct classroom-based research in which students learn content in the Australian Curriculum - Science through the use of an innovative agent-based virtual learning environment (ABVLE) that supports authentic science inquiry activities to enhance learning of difficult scientific knowledge and skills. The project will also develop teacher professional development materials for teachers to enhance teacher capacity to use innovative pedagogies and learning technologies in Australian schools.
Project title: Be a Nanoparticle to Learn Nanotechnology: An Embodied Cognition Agent-Based Modeling Approach.
An important new area of science and engineering relates to nanoscience and nanotechnology, which has been defined as“the emerging capability of human beings to observe and organize matter at the atomic level."The purpose of this study is to examine a technology enabled learning approach informed by perspectives from embodied cognition aimed at enhancing students’ understanding of the difficult concepts taught in undergraduate nanotechnology curricula, such assize-dependent property.The research will compare learning outcomes associated with two different technology systems: an experimental group using an Embodied Cognition Agent-Based Modelling(ECABM) approach with agent-based computer models and a comparison group using a Non-Embodied Cognition Visualisation(NECV) approach with multi-media visualisations.
Member, American Educational Research Association (AERA)
Member, European Association for Research on Learning and Instruction (EARLI)