data mining

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tandfonline.com – A Study on Student Performance, Engagement, and Experience With Kaggle InClass data Challenges

Posted on by Troels Gannerup Christensen - Læst 21 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if participating in a predictive modeling competition enhances learning. The evidence suggests it does. In addition, students were surveyed to examine if the competition improved engagement and interest in the class. Supplementary materials for this article are available online. Link til kilde

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tandfonline.com – Café Data 2.0: New Data From a New and Improved Café

Posted on by Troels Gannerup Christensen - Læst 8 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT In this article, we revisit the café story first introduced in 2011. Recent data from this café run by business students at a Midwestern public university are explored and analyzed. The data were collected using a point-of-sale system over a 3-month period during the spring semester of 2015. These data can be used in introductory statistics courses to illustrate the use of time series and forecasting, applications of data mining and visualization, as well as sampling, confidence intervals, and inference using ANOVA and chi-square tests for independence. Since the data pertain to a student-run business, we believe that statistics students, especially those in business disciplines, will find the data’s context to be relevant and interesting. In addition to… Continue Reading →