scholarly journals Early warning systems for more effective student counselling in higher education: Evidence from a Dutch field experiment

2021 ◽  
Author(s):  
Simone Plak ◽  
Ilja Cornelisz ◽  
Martijn Meeter ◽  
Chris Klaveren
Keyword(s):  
Higher Education ◽  
Field Experiment ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Student Counselling

Best Practices in Dropout Prediction

2020 ◽  
pp. 301-323
Author(s):  
Juan J. Alcolea ◽  
Alvaro Ortigosa ◽  
Rosa M. Carro ◽  
Oscar J. Blanco
Keyword(s):  
Higher Education ◽  
Best Practices ◽  
Student Learning ◽  
Early Warning ◽  
Predictive Models ◽  
Prediction Models ◽  
Early Warning Systems ◽  
Student Learning Outcomes ◽  
Warning Systems ◽  
Design Development

This chapter focuses on the key practical aspects to be considered when facing the task of developing predictive models for student learning outcomes. It is based on the authors' experience building and delivering dropout prediction models within higher education contexts. The chapter presents the information used to generate the predictive models, how this information is treated, how the models are fed, which types of algorithms have been used, and why and how the obtained results have been evaluated. It recommends best practices for building, training, and evaluating predictive models. It is hoped that readers will find these recommendations useful for the design, development, deployment, and use of early warning systems.

The CARE Telematics Network for the Surveillance of Influenza in Europe

1995 ◽  
Vol 34 (05) ◽  
pp. 518-522 ◽  
Author(s):  
M. Bensadon ◽  
A. Strauss ◽  
R. Snacken
Keyword(s):  
Public Health ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Surveillance Networks ◽  
Spanish Flu ◽  
The 1950S ◽  
National Networks ◽  
First Time

Abstract:Since the 1950s, national networks for the surveillance of influenza have been progressively implemented in several countries. New epidemiological arguments have triggered changes in order to increase the sensitivity of existent early warning systems and to strengthen the communications between European networks. The WHO project CARE Telematics, which collects clinical and virological data of nine national networks and sends useful information to public health administrations, is presented. From the results of the 1993-94 season, the benefits of the system are discussed. Though other telematics networks in this field already exist, it is the first time that virological data, absolutely essential for characterizing the type of an outbreak, are timely available by other countries. This argument will be decisive in case of occurrence of a new strain of virus (shift), such as the Spanish flu in 1918. Priorities are now to include other existing European surveillance networks.

Assessment of Food Security Early Warning Systems for East and Southern Africa

10.1596/29269 ◽  
2018 ◽  
Author(s):  
Ademola Braimoh ◽  
Bernard Manyena ◽  
Grace Obuya ◽  
Francis Muraya
Keyword(s):  
Food Security ◽  
Southern Africa ◽  
Early Warning ◽  
Early Warning Systems ◽  
Warning Systems

A Residual Chlorine Removal Method to Allow Drinking Water Monitoring by Biological Early Warning Systems

2005 ◽  
Author(s):  
Willian H. VAN DER Schalie ◽  
David E. Trader ◽  
Mark W. Widder ◽  
Tommy R. Shedd ◽  
Linda M. Brennan
Keyword(s):  
Drinking Water ◽  
Early Warning ◽  
Early Warning Systems ◽  
Water Monitoring ◽  
Residual Chlorine ◽  
Warning Systems ◽  
Removal Method ◽  
Chlorine Removal
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