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Download full textSales, Adam C.; Botelho, Anthony; Patikorn, Thanaporn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…
Descriptors: Courseware, Data Analysis, Causal Models, Prediction
Lazarinis, Fotis; Verykios, Vassilios S.; Panagiotakopoulos, Chris – International Association for Development of the Information Society, 2017
In this paper we present a mobile application for self-assessment. The work describes the main features of the application and focuses on its acceptance by students and the increase on their learning, through its usage in real testing settings. The application supports the retrieval of questions based on a number of criteria and it was evaluated…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
