Researching Through T-Pattern Analysis to Reduce the Triad Motor Game Complexity

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Author(s): Miguel Pic (Institute of Sport, Tourism, and Service, South Ural State University Chelyabinsk, Chelyabinsk, Russia & Motor Action Research Group (GIAM), INDEST, Institut Nacional d'Educació Física de Catalunya (INEFC), University of Lleida (UdL), Lleida, Spain), Vicente Navarro-Adelantado (University of La Laguna, Spain)and Gudberg K. Jonsson (University of Iceland, Reykjavik, Iceland)
Copyright: 2022
Pages: 18
Source title: Handbook of Research on Using Motor Games in Teaching and Learning Strategy
Source Author(s)/Editor(s): Pedro Gil-Madrona (University of Castilla-La Mancha, Spain)
DOI: 10.4018/978-1-7998-9621-0.ch003

Keywords: Education / Information Science Reference / Instructional Design / K-12 Education

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Abstract

Researching the motor triad game and its strategy is to assume the huge complexity derived from ambivalence. For this reason, time was taken as a criterion through the roles and subroles transition through t-patterns analysis (TPA) for the ‘Maze' game. In parallel to the triadic specificity, there are advantages to using a methodology in accordance with the ambivalent nature through the temporal distances of the playful events. The game rules stability and the triadic complexity offer a favorable game model to use TPA because it includes the temporal parameter, allowing observation criteria to be combined and revealing statistically significant t-strings. TPA offers a time-based structuring of events with an implementation that ensures the result quality through randomization (shuffle and rotation mean), thus controlling the chance effect.

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