All Outputs (1466)

Early Dropout Prediction for Programming Courses Supported by Online Judges (2019)
Presentation / Conference Contribution

Many educational institutions have been using online judges in programming classes, amongst others, to provide faster feedback for students and to reduce the teacher’s workload. There is some evidence that online judges also help in reducing dropout.... Read More about Early Dropout Prediction for Programming Courses Supported by Online Judges.

Lattice-depth measurement using continuous grating atom diffraction (2019)
Journal Article

We propose an approach to characterizing the depths of optical lattices, in which either an atomic gas is given a finite initial momentum or, alternatively, a corresponding “walking” configuration is applied to the optical lattice itself. This leads... Read More about Lattice-depth measurement using continuous grating atom diffraction.

Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy (2019)
Journal Article

Gamification has been widely employed in the educational domain over the past eight years when the term became a trend. However, the literature states that gamification still lacks formal definitions to support the design and analysis of gamified str... Read More about Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy.

Efficient and Stable Solution-Processed Organic Light Emitting Transistors using a High-k Dielectric (2019)
Journal Article

We report the development of highly efficient and stable solution-processed organic light emitting transistors (OLETs) that combine a polymer heterostructure with the transparent high-k dielectric poly(vinylidenefluoride0.62-trifluoroethylene0.31-chl... Read More about Efficient and Stable Solution-Processed Organic Light Emitting Transistors using a High-k Dielectric.

On the understanding and feasibility of “Breakthrough” Osmosis (2019)
Journal Article

Osmosis is the movement of solvent across a permselective membrane induced by a solute-concentration gradient. Now in ‘Forward Osmosis’ it is empirically observed that the diffusion of the solute is counter to that of the solvent i.e. there is so-cal... Read More about On the understanding and feasibility of “Breakthrough” Osmosis.

Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach (2019)
Journal Article

In-service turbine monitoring is essential for maximizing the wind energy contribution to the global energy budget. Measurement of turbine shaft torque under transient wind conditions is fundamental to develop reliable condition monitoring techniques... Read More about Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach.

Efficient Selection of Reservoir Model Outputs within an Emulation-Based Bayesian History Matching Uncertainty Analysis (2019)
Journal Article

When performing classic uncertainty reduction based on dynamic data, a large number of reservoir simulations need to be evaluated at high computational cost. As an alternative, we construct Bayesian emulators that mimic the dominant behaviour of the... Read More about Efficient Selection of Reservoir Model Outputs within an Emulation-Based Bayesian History Matching Uncertainty Analysis.

Population responses of bird populations to climate change on two continents vary with species’ ecological traits but not with direction of change in climate suitability (2019)
Journal Article

Climate change is a major global threat to biodiversity with widespread impacts on ecological communities. Evidence for beneficial impacts on populations is perceived to be stronger and more plentiful than that for negative impacts, but few studies h... Read More about Population responses of bird populations to climate change on two continents vary with species’ ecological traits but not with direction of change in climate suitability.

Narrative for Gamification in Education: Why Should you Care? (2019)
Presentation / Conference Contribution

Gamification applied to education studies are focusing to encourage students to perform specific tasks, however many of these studies are still inconclusive about how much gamification can influence engagement. Also, the frameworks used to apply gami... Read More about Narrative for Gamification in Education: Why Should you Care?.

Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm (2019)
Presentation / Conference Contribution

Many researchers have started extracting student behaviour by cleaning data collected from web environments and using it as features in machine learning (ML) models. Using log data collected from an online judge, we have compiled a set of successful... Read More about Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm.

Unsupervised anomaly detection in unmanned aerial vehicles (2019)
Journal Article

Having a real-time anomaly detection solution indicates a continuous stream of operational and labelled data that must satisfy a number of resource and latency requirements. Traditional solutions to the problem rely heavily on well-defined features a... Read More about Unsupervised anomaly detection in unmanned aerial vehicles.

A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation (2019)
Presentation / Conference Contribution

Gamification has been widely employed in the educational domain over the past eight years when the term became a trend. However, the literature states that gamification still lacks formal definitions to support the design of gamified strategies. This... Read More about A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation.

How to Gamify learning Systems? An Experience Report using the Design Sprint Method and a Taxonomy for Gamification Elements in Education (2019)
Journal Article

One of the main goals of gamification in educational settings is to increase student motivation and engagement. To facilitate the design of gamified educational systems, in recent years, studies have proposed various approaches (e.g., methodologies,... Read More about How to Gamify learning Systems? An Experience Report using the Design Sprint Method and a Taxonomy for Gamification Elements in Education.

Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs (2019)
Presentation / Conference Contribution

Author Profiling (AP), which aims to predict an author's demographics characteristics automatically by using texts written by the author, is an important mechanism for many applications, as well as highly challenging. In this research, we analyse var... Read More about Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs.

Improving and benchmarking of algorithms for decision making with lower previsions (2019)
Journal Article

Maximality, interval dominance, and E-admissibility are three well-known criteria for decision making under severe uncertainty using lower previsions. We present a new fast algorithm for nding maximal gambles. We compare its performance to existing a... Read More about Improving and benchmarking of algorithms for decision making with lower previsions.

Improving and benchmarking of algorithms for decision making with lower previsions (2019)
Presentation / Conference Contribution

Investigating wind turbine dynamic transient loads using contactless shaft torque measurements (2019)
Journal Article

The wind industry is showing increasing awareness about the importance of long-term direct shaft mechanical torque measurements to fully understand wind turbine (WT) dynamics, adopt proactive solutions for extreme load mitigation and enhance conditio... Read More about Investigating wind turbine dynamic transient loads using contactless shaft torque measurements.

Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study (2019)
Presentation / Conference Contribution

On the application of the Spiegler-Kedem model to forward osmosis (2019)
Journal Article

In Forward Osmosis the diffusion of the solute is counter to that of the solvent i.e. there is so-called “reverse salt diffusion”. Furthermore, the ratio of the two fluxes is generally taken to be a constant because of the assumption of ideal semi-pe... Read More about On the application of the Spiegler-Kedem model to forward osmosis.

Organic electronic memory devices (2019)
Book Chapter