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Eric.ed.gov – The Effects of the Use of Microsoft Math Tool (Graphical Calculator) Instruction on Students’ Performance in Linear Functions

Posted on by Troels Gannerup Christensen - Læst 48 gange

eric.ed.gov har udgivet: The aim of the study was to investigate the effect of Microsoft Math Tool (graphical calculator) on students’ achievement in the linear function. The study employed Quasi-experimental research design (Pre-test Post-test two group designs). A total of ninety-eight (98) students were selected for the study from two different Senior High Schools (SHS) in Accra, Ghana. The two schools were categorized as control group of forty-eight (48) students and experimental group of fifty (50) students. The analysis of data was done using independent t-test with alpha value (a) = 0.05. Pre-test assessment conducted at the beginning of the study shown no significant difference, t (95.720) = -0.441, p = 0.660 between the control and experimental groups. This indicated that the two groups were homogeneous. The experimental group received… Continue Reading →

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tandfonline.com – Educational Tool and Active-Learning Class Activity for Teaching Agglomerative Hierarchical Clustering

Posted on by Troels Gannerup Christensen - Læst 20 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT To incorporate active learning and cooperative teamwork in statistics classroom, this article introduces a creative three-dimensional educational tool and an in-class activity designed for introducing the topic of agglomerative hierarchical clustering. The educational tool consists of a simple bulletin board and color pushpins (it can also be realized with a less expensive alternative) based on which students work collaboratively in small groups of 3–5 to complete the task of agglomerative hierarchical clustering: they start with n singleton clusters,… Continue Reading →