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Zachary K. Collier; Joshua Sukumar; Roghayeh Barmaki – Practical Assessment, Research & Evaluation, 2024
This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…
Descriptors: Educational Indicators, School Statistics, Data Analysis, Information Retrieval
Cronjé, Johannes – National Institute for Learning Outcomes Assessment, 2018
The question driving this paper is: "What should we assess if learners can Google the answers on their mobile devices?" If "Learning" is defined as "being able to do something afterwards that you could not do before," the problem is that technology now enables us to do many things which we were not able to do before,…
Descriptors: Educational Environment, 21st Century Skills, Influence of Technology, Assessment Literacy
Li, Qing; Zhao, Jianmin; Zhu, Xinzhong – International Journal of Distance Education Technologies, 2009
Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…
Descriptors: Electronic Learning, Research Problems, Statistical Data, Statistical Inference