Outputs (2633)

A collaboratively-derived research agenda for e-assessment in undergraduate mathematics (2022)
Journal Article

This paper describes the collaborative development of an agenda for research on e-assessment in undergraduate mathematics. We built on an established approach to develop the agenda from the contributions of 22 mathematics education researchers, unive... Read More about A collaboratively-derived research agenda for e-assessment in undergraduate mathematics.

EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease (2022)
Journal Article

Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies illustrate the incidence of... Read More about EEG evaluation in a neuropsychological intervention program based on virtual reality in adults with Parkinson’s disease.

Learning To Live With Fog Monsters (2022)
Book

This story book, its concept and storyline were co-produced by Luci Gorell Barnes, Verity Jones*, Lindsey McEwen* and Amanda Webber* with contributions from Sara Williams*, Toity Deave*, Laura Hobbs*, Deepak Gopinath* and Laura Fogg-Rogers* (*Univer... Read More about Learning To Live With Fog Monsters.

Ethical risk assessment for social robots: Case studies in smart robot toys (2022)
Book Chapter

Risk Assessment is a well known and powerful method for discovering and mitigating risks, and hence improving safety. Ethical Risk Assessment uses the same approach, but extends the scope of risk to cover ethical risks in addition to safety risks. In... Read More about Ethical risk assessment for social robots: Case studies in smart robot toys.

Modified multi-direction iterative algorithm for separable nonlinear models with missing data (2022)
Journal Article

Multi-direction iterative (MUL-DI) algorithm is an efficient algorithm for large-scale models, and it establishes a theoretical linkage between least squares (LS) and gradient descent (GD) algorithms. However, it involves Givens transformation and de... Read More about Modified multi-direction iterative algorithm for separable nonlinear models with missing data.

Identifying fibre orientations for fracture process zone characterization in scaled centre-notched quasi-isotropic carbon/epoxy laminates with a convolutional neural network (2022)
Journal Article

This paper presents a novel X-ray Computed Tomography (CT) image analysis method to characterize the Fracture Process Zone (FPZ) in scaled centre-notched quasi-isotropic carbon/epoxy laminates. A total of 61 CT images of a small specimen were used to... Read More about Identifying fibre orientations for fracture process zone characterization in scaled centre-notched quasi-isotropic carbon/epoxy laminates with a convolutional neural network.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference Contribution

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs).
Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project (2022)
Journal Article

This paper focuses on an urban mobility citizen science project in which citizens participated in several ways, from technical development to engagement and evaluation. Drawing on asset-based community development, the WeCount project aimed to empowe... Read More about Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project.

Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (2022)
Journal Article

This paper considers the combined parameter and state estimation problem of a bilinear state space system with moving average noise. There are product terms of state variables and control variables in bilinear systems, which brings difficulties to pa... Read More about Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise.

Dock-to-dock multimodal freight transportation in coastal regions (2022)
Presentation / Conference Contribution

The Dock to Dock (D2D) project defines the primary infrastructure for future electric freight transport solutions between coastal cities, in particular the energy infrastructure (battery charging/hydrogen refuelling) required for ground vehicles, and... Read More about Dock-to-dock multimodal freight transportation in coastal regions.