Outputs (8)

Student behaviour in a flexible learning course framework. (2011)
Presentation / Conference Contribution
Russell, G., & Cumming, A. (2011, July). Student behaviour in a flexible learning course framework

Flexible learning approaches to education are important in modern Universities. Students should be able to choose how they will study their courses, and educators should be prepared to support students in their choices, and guide students to employ s... Read More about Student behaviour in a flexible learning course framework..

SQL Hacks. Tips and tools for digging into your data. (2007)
Book
Cumming, A., & Russell, G. (2007). SQL Hacks. Tips and tools for digging into your data. O'Reilly

...SQL Hacks reveals the secrets that database experts use to dig through their data and get the answers they need. It includes 100 hacks for sorting, sifting, shuffling, and pushing the limits of traditional SQL. You'll learn how to:

Send SQL co... Read More about SQL Hacks. Tips and tools for digging into your data..

Online assessment and checking of SQL: detecting and preventing plagiarism. (2005)
Presentation / Conference Contribution
Russell, G., & Cumming, A. (2005, July). Online assessment and checking of SQL: detecting and preventing plagiarism

The automatic checking of online assessments and tutorials offers a significant advantage to students. Such students can work out-of-hours, from home or work, managing their own time allocation. This allows formal practical sessions to concentrate on... Read More about Online assessment and checking of SQL: detecting and preventing plagiarism..

Automatic checking of SQL: Computerised grading. (2005)
Journal Article
Cumming, A., & Russell, G. (2005). Automatic checking of SQL: Computerised grading. IntInternational Journal of Learning: Annual Review, 12, 127-134

Undergraduates are taught the database language SQL using internet based tools. The managed learning environment includes assessment.

A universal character model and ontology of defined terms for taxonomic description. (2004)
Presentation / Conference Contribution
Paterson, T., Kennedy, J., Pullan, M. R., Cannon, A., Armstrong, K. E., Watson, M. F., Raguenaud, C., McDonald, S. M., & Russell, G. (2004, March). A universal character model and ontology of defined terms for taxonomic description. Presented at Data Integration in the Life Sciences. First International Workshop, DILS 2004

Taxonomists classify biological specimens into groups (taxa) on the basis of similarities between their observed features (characters). The description of these characters is therefore central to taxonomy, but there is currently no agreed model, defi... Read More about A universal character model and ontology of defined terms for taxonomic description..

Improving the student learning experience for SQL using automatic marking. (2004)
Presentation / Conference Contribution
Russell, G., & Cumming, A. (2004, December). Improving the student learning experience for SQL using automatic marking. Presented at Cognition and Expolaratory Learning in Digital Age (CELDA 2004), Hotel Altis, Lisbon, Portugal

An online interactive learning environment which offers immediate feedback to student learning SQL was constructed. This has supported the gathering of interesting statistics on student behaviour. Changes to the environment targeted at improving stud... Read More about Improving the student learning experience for SQL using automatic marking..

A methodology for composing well-defined character descriptions. (2003)
Report
Paterson, T., Cannon, A., Raguenaud, C., Russell, G., Armstrong, K. E., MacDonald, S. M., Pullan, M. R., Watson, M. F., & Kennedy, J. (2003). A methodology for composing well-defined character descriptions

Taxonomy has been described as “the science of documenting biodiversity”, which involves collecting, naming, describing, identifying and classifying specimens of organisms (Keogh, 1995). Descriptions are the fundamental information units used in the... Read More about A methodology for composing well-defined character descriptions..

Multiple traffic signal control using a genetic algorithm (1999)
Presentation / Conference Contribution
Kalganova, T., Russell, G., & Cumming, A. (1999, December). Multiple traffic signal control using a genetic algorithm. Presented at 4th International Conference on Artificial Neural Networks and Genetic Algorithms, ICANNGA '99

Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signals need to coordinate their behaviours to achieve the common goal of optimi... Read More about Multiple traffic signal control using a genetic algorithm.