Dave Scurry
Biographic Data
| ID | 1706640 |
|---|---|
| NAME | Dave Scurry |
| GIVEN NAMES | Dave |
| FAMILY NAME | Scurry |
| SIGNATURE | SCURRY D |
| AFFILIATIONS | Oxford Brookes University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 1 |
Mining institutional datasets to support policy making and implementation
Datasets are often under-exploited by institutions, yet they contain evidence that is potentially of high value for planning and decision-making. This article shows how institutional data were used to determine whether the demographic background of students might have an influence on their performance: this is a matter of particular interest where participation in higher education is being widened. Analyses showed that, whilst area of domicile ap…
Some effects of the award algorithm on honours degree classifications in UK higher education
In earlier work the Student Assessment and Classification Working Group (SACWG) found that up to 15% of honours classifications in UK higher education might be different if the results had been fed through another institution's award algorithm. In this article a more sensitive analysis has been applied to two blocks of institutional results that have been treated to reflect two variations that can be found in the range of honours degree award alg…
Self‐help in research and development relating to assessment: A case study
This article briefly chronicles nearly a decade of research and development activity undertaken in the area of assessment by a group of committed volunteers, 'The Student Assessment and Classification Working Group' (SACWG). However, greater attention is given to demonstrating what a self‐help approach can achieve in respect of research and development in higher education, and to identifying the factors that contribute to success in this respect.…
Mining institutional datasets to support policy making and implementation
Datasets are often under-exploited by institutions, yet they contain evidence that is potentially of high value for planning and decision-making. This article shows how institutional data were used to determine whether the demographic background of students might have an influence on their performance: this is a matter of particular interest where participation in higher education is being widened. Analyses showed that, whilst area of domicile ap…
Some effects of the award algorithm on honours degree classifications in UK higher education
In earlier work the Student Assessment and Classification Working Group (SACWG) found that up to 15% of honours classifications in UK higher education might be different if the results had been fed through another institution's award algorithm. In this article a more sensitive analysis has been applied to two blocks of institutional results that have been treated to reflect two variations that can be found in the range of honours degree award alg…
Self‐help in research and development relating to assessment: A case study
This article briefly chronicles nearly a decade of research and development activity undertaken in the area of assessment by a group of committed volunteers, 'The Student Assessment and Classification Working Group' (SACWG). However, greater attention is given to demonstrating what a self‐help approach can achieve in respect of research and development in higher education, and to identifying the factors that contribute to success in this respect.…
Mining institutional datasets to support policy making and implementation
Datasets are often under-exploited by institutions, yet they contain evidence that is potentially of high value for planning and decision-making. This article shows how institutional data were used to determine whether the demographic background of students might have an influence on their performance: this is a matter of particular interest where participation in higher education is being widened. Analyses showed that, whilst area of domicile ap…
Computer Science (3 works) · Higher education (3 works) · Mathematics education (2 works) · Medical education (2 works) · Medicine (2 works) · Pedagogy (2 works) · Political science (2 works) · Psychology (2 works) · Social science (2 works) · Sociology (2 works)