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Free-choice profiling is a method for determining the quality of a thing by having a large number of subjects experience (view, taste, read, etc.) it and then allowing them to describe the thing in their own words, as opposed to posing them a set of "yes-no-maybe" questions.
In information science, profiling refers to the process of construction and application of user profiles generated by computerized data analysis. This is the use of algorithms or other mathematical techniques that allow the discovery of patterns or correlations in large quantities of data, aggregated in databases .
Educational games are games explicitly designed with educational purposes, or which have incidental or secondary educational value. All types of games may be used in an educational environment, however educational games are games that are designed to help people learn about certain subjects, expand concepts, reinforce development, understand a historical event or culture, or assist them in ...
A collection of research on gamification shows that a majority of studies on gamification find it has positive effects on individuals. [25] [5] However, individual and contextual differences exist. [26] Gamification can be achieved using different game mechanics and elements which can be linked to 8 core drives when using the Octalysis ...
Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.
RN tools and research profiling systems can help researchers gain recognition. Active promotion of scholarship is an aspect of the publication cycle. Commercial and non-profit services help researchers increase visibility and recognition. Digital researcher services enhance discoverability, shareability and citability of scholarship.
Research focused on Learning in the K 8- 12 classroom, with special emphasis on mathematics as the greatest hurdle to school success. Researchers developed alternatives to, and support of, traditional math modules by embedding mathematical topics in practical tasks (e.g. design of a building) executed in groups and with computers.
While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.