BSc(NTOU), MHRM(UWS), MLST(Sydney)
Phone: +61 2 9351 4107
Fax: +61 2 9351 5027
Learning sciences; psychology of education
- Learning technologies and new media
- Learning, cognition and motivation
Research on teaching and learning
- Mathematics and science
- The aim of this project is about how students learn the complexity of scientific knowledge about climate change through agent-based modelling and visualization technologies - particularly through Productive Failure and Analogical Encoding learning approaches.
- The aim of this project is to understand how innovative multi-user virtual environments (MUVEs) can be designed and used in Australian schools to enhance the learning of important scientific knowledge and inquiry skills. Working closely with teachers in secondary science classes, researchers will investigate ways in which the features of intelligent agents in educational MUVEs enable innovative pedagogical approaches that have the potential to enhance learning in secondary science classes. In addition, this project will develop science inquiry-based curriculum modules employing MUVEs that run on computers being distributed as part of the national Digital Education Revolution initiative.