Recent years have witnessed the emergence of a growing literature bemoaning the level of quantitative methods provision within the UK Higher Education sector, noting its negative impact upon the subsequent skills of graduates and their preparedness for the workplace. The present paper documents and evaluates an attempt to counter these issues via the introduction of an increasing element of flexible learning on a business and financial forecasting module. Using a mixture of empirical methods, it is shown that flexible learning results in improvements in student performance and ability across a range of metrics. It is argued that ‘broad’ forms of flexible learning can be employed to overcome the concerns of an increasingly negative literatur...
The experiment tested overconfidence in number skills among graduates and non-graduates. The data wa...
In a period of high profile national concern about the low level of quantitative skills in the UK so...
Dr. Aggarwal is an Associate Professor of Finance at the University of Toledo in Toledo, Ohio
Recent years have witnessed the emergence of a growing literature bemoaning the level of quantitativ...
Helping students succeed in a quantitative analysis courses is often difficult especially when stude...
The UK government's widening participation strategy, and the concomitant development of a mass highe...
Initiatives, like the UK ESRC’s RDI/CI programmes and the Q-Step Centres, have a long-term aim of ad...
This paper reflects on the results of research undertaken at a large UK university relating to the t...
Purpose The purpose of the paper is to discuss the “Q-Step in the Community” programme, part of the ...
As the number of young people attending college has increased, the diversity of college students’ ed...
This research aims to highlight, via the use of qualitative and quantitative methods, a possible mis...
This article reports the results of research concerned with students’ statistical anxiety and confid...
In British social science degree programmes, methods courses have a bad press, and statistics course...
There is substantial evidence that first year business students have difficulty with quantitative su...
The experiment tested overconfidence in number skills among graduates and non-graduates. The data wa...
In a period of high profile national concern about the low level of quantitative skills in the UK so...
Dr. Aggarwal is an Associate Professor of Finance at the University of Toledo in Toledo, Ohio
Recent years have witnessed the emergence of a growing literature bemoaning the level of quantitativ...
Helping students succeed in a quantitative analysis courses is often difficult especially when stude...
The UK government's widening participation strategy, and the concomitant development of a mass highe...
Initiatives, like the UK ESRC’s RDI/CI programmes and the Q-Step Centres, have a long-term aim of ad...
This paper reflects on the results of research undertaken at a large UK university relating to the t...
Purpose The purpose of the paper is to discuss the “Q-Step in the Community” programme, part of the ...
As the number of young people attending college has increased, the diversity of college students’ ed...
This research aims to highlight, via the use of qualitative and quantitative methods, a possible mis...
This article reports the results of research concerned with students’ statistical anxiety and confid...
In British social science degree programmes, methods courses have a bad press, and statistics course...
There is substantial evidence that first year business students have difficulty with quantitative su...
The experiment tested overconfidence in number skills among graduates and non-graduates. The data wa...
In a period of high profile national concern about the low level of quantitative skills in the UK so...
Dr. Aggarwal is an Associate Professor of Finance at the University of Toledo in Toledo, Ohio