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Outputs (111)

Adaptivity, personalization, and the semantic web
Presentation / Conference Contribution
Cristea, A., Stewart, C., & Sirmakessis, S. (2006, December). Adaptivity, personalization, and the semantic web. Presented at Proceedings of the joint international workshop on Adaptivity, personalization \& the Semantic Web ACM

Adapting for visual and verbal learning styles in AEH
Presentation / Conference Contribution
Brown, E., Stewart, C., & Brailsford, T. (2006, December). Adapting for visual and verbal learning styles in AEH. Presented at Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06) IEEE

Goal oriented personalisation with SCORM
Presentation / Conference Contribution
Power, G., Davis, H. C., Cristea, A. I., Stewart, C., & Ashman, H. (2005, December). Goal oriented personalisation with SCORM. Presented at Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05) IEEE

Can Learner Characteristics Predict Their Behaviour on MOOCs?
Presentation / Conference Contribution
Cristea, A. I., Alamri, A., Alshehri, M., Kayama, M., Foss, J., Shi, L., & Stewart, C. D. (2018, December). Can Learner Characteristics Predict Their Behaviour on MOOCs?. Presented at 10th International Conference on Education Technology and Computers - ICETC '18, Tokyo

Stereotyping is the first type of adaptation in education ever proposed. However, the early systems have never dealt with the numbers of learners that current MOOCs provide. Thus, the umbrella question that this work tackles is if learner characteris... Read More about Can Learner Characteristics Predict Their Behaviour on MOOCs?.

Collaborative Creative Computing
Presentation / Conference Contribution
Bradley, S., & Church, S. (2018, June). Collaborative Creative Computing. Presented at London Computing Education Research Symposium (2018 LCERS)., London, England

On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs
Presentation / Conference Contribution
Alshehri, M., Foss, J., Cristea, A. I., Kayama, M., Shi, L., Alamri, A., & Tsakalidis, A. (2018, June). On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs. Presented at 3rd International Conference on Information and Education Innovations (ICIEI'18), London

Stereotyping is the first type of adaptation ever proposed. However, the early systems have never dealt with the numbers of learners that current Massive Open Online Courses (MOOCs) provide. Thus, the umbrella question that this work tackles is if le... Read More about On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs.

Temporal vertex cover with a sliding time window
Presentation / Conference Contribution
Akrida, E., Mertzios, G., Spirakis, P., & Zamaraev, V. (2018, July). Temporal vertex cover with a sliding time window. Presented at 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)., Prague, Czech Republic

Modern, inherently dynamic systems are usually characterized by a network structure, i.e. an underlying graph topology, which is subject to discrete changes over time. Given a static underlying graph G, a temporal graph can be represented via an assi... Read More about Temporal vertex cover with a sliding time window.

The temporal explorer who returns to the base
Presentation / Conference Contribution
Akrida, E., Mertzios, G., & Spirakis, P. (2019, December). The temporal explorer who returns to the base. Presented at 11th International Conference on Algorithms and Complexity (CIAC 2019), Rome, Italy

In this paper we study the problem of exploring a temporal graph (i.e. a graph that changes over time), in the fundamental case where the underlying static graph is a star on n vertices. The aim of the exploration problem in a temporal star is to fin... Read More about The temporal explorer who returns to the base.

An Exploration of Dropout with RNNs for Natural Language Inference
Presentation / Conference Contribution
Gajbhiye, A., Jaf, S., Al-Moubayed, N., McGough, A. S., & Bradley, S. (2018, December). An Exploration of Dropout with RNNs for Natural Language Inference. Presented at ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes

Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the effectiveness at different layers and dropout rates in NLI models. In thi... Read More about An Exploration of Dropout with RNNs for Natural Language Inference.

Using Model Checking for Pre-Planning Analysis
Presentation / Conference Contribution
Fox, M., Long, D., Bradley, S., & McKinna, J. (2001, December). Using Model Checking for Pre-Planning Analysis. Presented at AAAI Symposium on Model-based Validation of Intelligence

Managing Plagiarism in Programming Assignments with Blended Assessment and Randomisation
Presentation / Conference Contribution
Bradley, S. (2016, November). Managing Plagiarism in Programming Assignments with Blended Assessment and Randomisation. Presented at 16th Koli Calling Conference on Computing Education Research, Koli, Finland

Plagiarism is a common concern for coursework in many situations, particularly where electronic solutions can be provided e.g. computer programs, and leads to unreliability of assessment. Written exams are often used to try to deal with this, and to... Read More about Managing Plagiarism in Programming Assignments with Blended Assessment and Randomisation.

On temporally connected graphs of small cost
Presentation / Conference Contribution
Akrida, E., Gasieniec, L., Mertzios, G., & Spirakis, P. (2015, September). On temporally connected graphs of small cost. Presented at 13th Workshop on Approximation and Online Algorithms (WAOA), Patras, Greece

We study the design of small cost temporally connected graphs, under various constraints. We mainly consider undirected graphs of n vertices, where each edge has an associated set of discrete availability instances (labels). A journey from vertex u t... Read More about On temporally connected graphs of small cost.

Monitoring Wild Mammals in County Durham with a Citizen Science Web Platform
Presentation / Conference Contribution
Hsing, P.-Y., Bradley, S., Kent, V., Hill, R., Whittingham, M., & Stephens, P. (2015, December). Monitoring Wild Mammals in County Durham with a Citizen Science Web Platform. Presented at ICCB : 27th International Congress for Conservation Biology, Montpellier, France

Skew Bisubmodularity & Valued CSPs
Presentation / Conference Contribution
Huber, A., Krokhin, A., & Powell, R. (2013, December). Skew Bisubmodularity & Valued CSPs. Presented at SODA 2013

Ephemeral networks with random availability of links: diameter and connectivity
Presentation / Conference Contribution
Akrida, E., Gasieniec, L., Mertzios, G., & Spirakis, P. (2014, June). Ephemeral networks with random availability of links: diameter and connectivity. Presented at Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures (SPAA), Prague, Czech Republic

In this work we consider temporal networks, the links of which are available only at random times (randomly available temporal networks). Our networks are {\em ephemeral}: their links appear sporadically, only at certain times, within a given maximum... Read More about Ephemeral networks with random availability of links: diameter and connectivity.

Software evolution in an interdisciplinary environment.
Presentation / Conference Contribution
Bennett, K., Bradley, S., Glover, G., & Barnes, D. (2003, September). Software evolution in an interdisciplinary environment. Presented at Software Technology and Engineering Practice, 11th. International Conference., Amsterdam

At Durham, an interdisciplinary team has implemented the UK?s first web-centred data base of adult mental health service provision (we regard interdisciplinary research to be taking place when two or more groups from different disciplines work togeth... Read More about Software evolution in an interdisciplinary environment..