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The Art of the Possible

In order to drive innovation and support the needs of forward-looking educational organisations, Cinglevue invests significantly in research and development.


Applying psychometric assessments to further classroom learning outcomes

We are developing a learning design tool that enables educators to administer large numbers of students with ease. Performance data is visualised for teachers in an accessible manner to promote the development of corresponding instructional strategies.


Building a performance-based assessment and feedback platform for Virtual and Augmented Reality

We are developing a performance-based assessment and feedback platform that can be used for experiential learning and training purposes. This platform will provide educators with a viable means for designing and evaluating immersive learning experiences using Virtual and Augmented Reality technologies.


Developing a learning behaviour profiling tool to support early interventions in the classroom environments

We are developing a Learning Behaviour Profiling System (LBPS) that supports educators to conduct meaningful and structured observations in the school environment. This tool will provide educators with a viable means for identifying disengaged students and developing effective intervention strategies.


Creating a flexible instructional design platform incorporating Learning Analytics and drawing on current pedagogical strategies

We are evolving our learning design platform to enable educators to offer their students differentiated tasks and learning activities. Augmented by artificial intelligence, this instructional platform will provide educators with informed recommendations along with a flexible and intuitive template for the design and delivery of personalised learning experiences.


Developing an Artificial Intelligence framework for enhancing the utility of teaching and learning data at scale

We are developing an Artificial Intelligence framework, which leverages the vast quantities of data collected by digital education systems to train data models using deep learning approaches. This will provide the ability to intelligently guide student learning, aid allocation of educational resources, and help provide informed recommendations based on individual learning needs.

Cinglevue establishes long-term partnerships with universities and research institutes, enabling access to outside domain expertise to continually drive innovation

Interested to learn more?

We are happy to discuss our current research projects in more detail with you

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