2018
DOI: 10.3897/rio.4.e25485
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Novel pedagogical tool for simultaneous learning of plane geometry and R programming

Abstract: Programming a computer is an activity that can be very beneficial to undergraduate students in terms of improving their mental capabilities, collaborative attitudes and levels of engagement in learning. Despite the initial difficulties that typically arise when learning to program, there are several well-known strategies to overcome them, providing a very high benefit-cost ratio to most of the students. Moreover, the use of a programming language usually raises the interest of students to learn any specific co… Show more

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Cited by 4 publications
(2 citation statements)
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“…In brief, to produce homogeneous measurements and unbiased analysis, measurements of root growth and root bending in scanner and microscope experiments were semi-automated to limit human-picture interpretation using ImageJ macros and R scripts (R Core Team, R Foundation for Statistical Computing, Austria, R Cran v3.5.3 and R Studio v1.1.463). The following R packages were used: LearnGeom 35 , spdep 36 , stringr(v1.4.0), dplyr(v1.0.2), REdaS 37 , reshape2 38 , matrixstats(v0.57.0).…”
Section: Methodsmentioning
confidence: 99%
“…In brief, to produce homogeneous measurements and unbiased analysis, measurements of root growth and root bending in scanner and microscope experiments were semi-automated to limit human-picture interpretation using ImageJ macros and R scripts (R Core Team, R Foundation for Statistical Computing, Austria, R Cran v3.5.3 and R Studio v1.1.463). The following R packages were used: LearnGeom 35 , spdep 36 , stringr(v1.4.0), dplyr(v1.0.2), REdaS 37 , reshape2 38 , matrixstats(v0.57.0).…”
Section: Methodsmentioning
confidence: 99%
“…In the case of two significant PCs (i.e. community level), we calculated the Euclidean distances with the dist function within the stats package and the angles with the Angle function within the L earn G eom package in r (Briz‐Redón & Serrano‐Aroca, 2018). In the case of a single significant PC (i.e.…”
Section: Methodsmentioning
confidence: 99%