This research focuses on the everyday challenge in academic learning of assessment, and argues that academic buoyancy is a key factor in academic success. To scaffold students' learning and effectively support academic buoyancy, there is arguably a need for a better understanding of: (i) what students find most and least useful in their assessment…

Author attempts to determine whether testing perpetuates a misevaluation of children's abilities. (Editor/RK)

Describes the introduction of computer-based assessment (CBA) in a first-year module in geographical data analysis, and evaluates student opinion and performance in response to this. Finds that students generally reacted positively and that overall module evaluations improved; student interest and examination performance (based on average test…

Argues that data analysis problems can be used successfully in large introductory microbiology courses, even when exams consist entirely of multiple-choice questions and out-of-class contact with the instructor is limited. Discusses course organization, problem structure, student performance and response, advantages of using data analysis…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…