Abstract
This study intend to enhance the teaching and learning interpretation of box-and-whisker plot using statistical R environment software. The researcher adopts statistical R software package to enhance the learners understating of box-and-whiskers plot. The researcher explores the beauty of exuberant graphical illustrations that are built in statistical R environment in enhancing the teaching and learning of box-and-whisker plots. The study adopts participatory action research (PAR) approach through the lens of bricolage. The participants are 43 grade 11 mathematics learners and three mathematics teachers and the school principal. The data was generated using free attitude interview after each lesson for learners and teachers to reflect on the lesson. The qualitative data was analysed using critical discourse analysis (CDA). The results of the study report that learners’ reflection on the lesson pointed out that, it felt like they were playing. Through the use of statistical R environment the learners where able conceptualise the difference between maximum, minimum and outlier and the interpretation of the box area. Furthermore, the study report that learners’ interpretation of box and whiskers improved. DOI: 10.5901/mjss.2014.v5n27p833
Highlights
This study intend to enhance the teaching and learning interpretation of box-and-whisker plot using ICT
The study explores the use of statistical R environment software package as our ICT tool to enhance the teaching and learning interpretation of box-and-whiskers plots
Box-and-whisker plots are statistical technique used to visualise the distributions of data in investigating where the data are centred and how they are distributed over a range of variables(Kortenkamp & Rolka, 2010)
Summary
This study intend to enhance the teaching and learning interpretation of box-and-whisker plot using ICT. The study explores the use of statistical R environment software package as our ICT tool to enhance the teaching and learning interpretation of box-and-whiskers plots. The attractive features of Minitool 2 and Tinkerplots in teaching box-and-whisker plots is that they allow learners to compare data set with the same range and centre but different spread (Bakker, 2004: 8; Yilmaz, 2013). These software packages enable learners to visualize the individual observation using the Dot plots, which helps learners to interpret box and whisker plots better. Statistical R environment has seen much success in statistical programming and modelling, and has exuberant graphical illustration features (Seefeld, 2007)
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