Some forecasts of the diffusion of e-assessment using a model

This article concerns the use of e-assessment in General Certificate of Secondary Education (GCSE) qualifications in England. It explains why the diffusion of e-assessment merits study. It reviews approaches to forecasting the diffusion of e-assessment in GCSEs and justifies the choice of an aggregate diffusion model (the Bass model) for this purpose. The article discusses approaches to the parameterisation of the Bass model and proposes three sets of parameters for the model. The three disparate forecasts of e-assessment diffusion result. The most accurate of the three forecasts will become clearer as more data of e-assessment adoption are collected. The article suggests extensions and generalisations to the core Bass model, which may provide an enhanced understanding of e-assessment adoption for GCSEs. It is informative to think about e-assessment diffusion with reference to schools' decisions to adopt the new technology. First, forecasts should be made, using the core model, and then possible extensions should be proposed. Importing ideas from marketing research into the sphere of exams and qualifications is a useful example of how work from the wider social sciences can inform assessment research. Diffusion forecasting could have a role in understanding other qualifications and examinations issues.

[1]  C. Bulte New Product Diffusion Acceleration: Measurement and Analysis , 2000 .

[2]  Sunil Kumar,et al.  Diffusion of Innovations Under Supply Constraints , 2003, Oper. Res..

[3]  Frank M. Bass,et al.  Empirical Generalizations and Marketing Science: A Personal View , 1995 .

[4]  Arvind Rangaswamy,et al.  Innovation Adoption And Diffusion In The Digital Environment: Some Research Opportunities , 1999 .

[5]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[6]  P. Geroski Models of technology diffusion , 2000 .

[7]  M. Meler,et al.  New product diffusion models , 1995 .

[8]  Song Hai-rong,et al.  Comments on "A New Product Growth Model for Consumer Durables" , 2006 .

[9]  Vijay Mahajan,et al.  Chapter 8 New-product diffusion models , 1993, Marketing.

[10]  F. Bass,et al.  A diffusion theory model of adoption and substitution for successive generations of high-technology products , 1987 .

[11]  Varun Grover,et al.  Information technology innovations: general diffusion patterns and its relationships to innovation characteristics , 2002, IEEE Trans. Engineering Management.

[12]  Stephen B. Lawton,et al.  An Autocatalytic Model for the Diffusion of Educational Innovations , 1979 .

[13]  Rabikar Chatterjee,et al.  The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach , 1990 .

[14]  Hani I. Mesak,et al.  An Empirical Inquiry into New Subscriber Services under Interdependent Adoption Processes , 2003 .

[15]  Peter S. Fader,et al.  Forecasting Repeat Sales at CDNOW: A Case Study , 2001, Interfaces.

[16]  G. Tellis,et al.  Will It Ever Fly? Modeling the Takeoff of Really New Consumer Durables , 1997 .

[17]  Stefan Stremersch,et al.  Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test , 2004 .

[18]  Philip M. Parker,et al.  Aggregate diffusion forecasting models in marketing: A critical review , 1994 .

[19]  Gerard J. Tellis,et al.  A Critical Review of Marketing Research on Diffusion of New Products , 2007 .

[20]  G. Tellis,et al.  Research on Innovation: A Review and Agenda for Marketing Science , 2006 .

[21]  Robert Harding,et al.  The Horseless Carriage Stage: replacing conventional measures , 2003 .

[22]  Charlotte H. Mason,et al.  Technical Note---Nonlinear Least Squares Estimation of New Product Diffusion Models , 1986 .

[23]  Nigel Meade,et al.  Technological Forecasting-Model Selection, Model Stability, and Combining Models , 1998 .

[24]  Christian Terwiesch,et al.  Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint , 2002, Manag. Sci..

[25]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[26]  N. Meade,et al.  Modelling and forecasting the diffusion of innovation – A 25-year review , 2006 .

[27]  W. Richardson Public policy failure and fiasco in education: perspectives on the British examinations crises of 2000–2002 and other episodes since 1975 , 2007 .

[28]  Graham K. Rand,et al.  Quantitative Applications in the Social Sciences , 1983 .

[29]  Zhengrui Jiang,et al.  Virtual Bass Model and the Left-Hand Data-Truncation Bias in Diffusion of Innovation Studies , 2006 .