GAME-BASED BACKHAND TENNIS TECHNIQUE LEARNING MODEL TO IMPROVE LEARNING OUTCOMES
Author(s) -
Dio Alif Airlangga Daulay,
Iman Sulaiman,
Fatah Nurdin
Publication year - 2021
Publication title -
gladi jurnal ilmu keolahragaan
Language(s) - English
Resource type - Journals
eISSN - 2597-8942
pISSN - 1693-1556
DOI - 10.21009/gjik.124.06
Subject(s) - test (biology) , computer science , process (computing) , learning effect , game based learning , machine learning , artificial intelligence , statistical analysis , psychology , mathematics education , multimedia , statistics , mathematics , paleontology , economics , biology , microeconomics , operating system
The purpose of this study is to find out a learning model using a game-based tennis backhand skill model. The method used is Research & Development with mixed methods research approach that combines qualitative and quantitative methods. It is intended to be able to reach or process all data or information so that a comprehensive explanation will be obtained. The number of samples as many as 20 respondents. The steps taken in the trial include: (1) establishing a group of research subjects (2) Carrying out Pretest (3) trying the model that has been developed (4) carrying out post-test (5) looking for the average score of pretest and posttest and compared between the two (6) looking for the differences between the two averages through statistical methods (t-test) to find out whether or not there is a significant influence of the use of the model. The conclusion of this study is that game-based tennis backhand learning model can be developed and applied in the process of learning backhand techniques of tennis effectively and efficiently.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom