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Case-based games learning strategies to improve conceptual understanding in mathematics

Andi Muhammad Irfan Taufan Asfar, Andi Muhamad Iqbal Akbar Asfar

2020Journal of Physics Conference Series22 citationsDOIOpen Access PDF

Abstract

Abstract Case-Based Games Learning (CBGL) is a strategy of active learning in which the students implement knowledge and analytical skill related to the real complex situation (contextual) and relevant with subject lessons. Give case-based task or question routinely can help students to solve case-based mathematics problems. This study aims to analyze the effectiveness of CBGL using Quizizz dan Case Base Learning (CBL) without Quizizz based on students’ conceptual understanding in mathematics by finding out the percentage of the correct answer. Students were grouping by using a purposive sampling method based on the conceptual understanding indicator. The result of this study is the average conceptual understanding CBGL using Quizizz application strategy is more effective than CBL without Quizizz application in evaluating student work results quickly, precisely, and accurately. Therefore the use of Quizzes application with CBGL was more effective than CBL in assessing the work result quickly, right, and accurately.

Topics & Concepts

Nonprobability samplingComputer scienceTask (project management)Mathematics educationSubject (documents)Conceptual frameworkConcept learningMathematicsMachine learningEngineeringPopulationPhilosophySystems engineeringSociologyDemographyLibrary scienceEpistemologyMathematics Education and PedagogyEducational Games and GamificationEducation and Critical Thinking Development
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