Areas of research and collaboration
Personalisation of learning
Understanding and accommodating individual learning needs:
Meaningful learning & assessment
Engaging with emerging technologies to provide new opportunities for meaningful learning and assessment.
E.g. virtual reality technologies, face, gesture, behaviour, emotion recognition, electrodermal activity, eye-tracking.
Greater insights into education
Providing students and educators with opportunities to leverage insights based on the ongoing exchange of information, resources, strategies, experiences, and best practices as part of a wider community-driven educational ecosystem.
Freeing up teaching time
Developing approaches for automating and streamlining administrative processes.
Enable teachers to focus more time on engaging with students.
Facilitating large-scale analysis of data to drive predictions, recommendations, and classifications. This leads to ongoing improvements in teaching and learning practice as well as data-driven decision making (machine learning, learning analytics, and data visualisation).
University and research institutes partnerships
We are not alone in our passion for developing education.
We team up with PhD students, university researchers, and research institutes. Long-term partnerships that provide access to external expertise. Drives innovation, enhances educational solutions for all and gains deeper insights into organisational needs. Facilitates the transferral of knowledge into technology, driving future features of our platform.
Our current collaborations
The aim of this project is to research, develop, and evaluate a timetabling solution which can be used to accommodate a wide variety of educational organisations, each of which has different needs with regards to the way they organise their students, classes, and educational resources.
Virtuoso will integrated the information and interface with other parts of the system (e.g. student course request, calendar, etc.).
The aim of this project is to explore how our engaging learning platform can be utilised to support the development of a new physics curriculum which emphasises Einsteinian perspectives.
Virtuoso would standardise the delivery and evaluation of lessons and activities at a variety of participating schools, being a research platform for data collection as well.
Funding by CSIRO SIEF STEM+ Business Fellowship Program
The aim of this project is to research, design, develop, and validate a suite of capabilities for better supporting the implementation of technology-enhanced pedagogical frameworks in Virtuoso. This project also involves the development of contextualised methods for measuring educational efficacy and impact as well as identifying new opportunities for Natural Language Processing (NLP) to provide insights into student learning.
Virtuoso will be used as the technology tool through a series of workshops for teachers.
Project: Scaling a dynamic reading screening tool
The aim of this work is to develop a dynamic reading screening tool that is underpinned by automatic speech recognition capabilities. This is currently being pursued in collaboration with Dr. Neville Hennessey and Associate Professor Suze Leitão from Curtin University.
Project: Developing a model for advancing the impact of assistant language teachers (ALTs) in Shizuoka Prefecture in Japan
The aim of this research is to develop a generalisable framework that can be utilised by Assistant Language Teachers (ALTs) to implement a broad range of pedagogical approaches that are associated with successful English Language learning outcomes in Shizuoka Prefecture. This is being conducted in collaboration with Ms. Akierah Binns who is currently an ALT in Shizuoka Prefecture in Japan and the research is supported by a grant from the Suruga Institute.
Benefits of a collaborative research approach
For teachers and principals
Internal research projects
Teacher observations of student behaviours and interactions can provide unique insights into learning progressions and proficiencies. A framework for documenting and collecting this information over time supports comparisons between different learning contexts.
This provides a better understanding of the role and characteristics of emotion during learning at the individual student level. In turn, this will provide a more informed basis for learning design and engagement.
The ePortfolio and digital badging system will support the collation of evidence of learning and the development of student interests at a whole-of-system level. These affordances are closely integrated with lesson and task design to provide the foundation necessary for ongoing engagement, reflection, and feedback.