Traditional Sport-Based Physical Education Learning Model in Character Improvement and Critical Thinking of Elementary School Students

Autor: Prof dr Sumaryanto, Prof dr Siswantoyo, Susan Susanto
Rok vydání: 2022
Předmět:
Zdroj: Спортске науке и здравље - АПЕИРОН. 24
ISSN: 2232-822X
2232-8211
DOI: 10.7251/ssh2202165s
Popis: The research aims to develop a physical education teaching model for lower grade elementary school students in order to develop and improve character and critical thinking. This learning model is expected to be used as a vehicle for student activities in instilling character values and critical thinking from an early age. This learning model is made in a circuit so that it can be played both individually and in groups and can be competed between groups in an interesting and fun way. Method: This development research applied the 4D development model by Thiagarajan, Semmel, and Semmel, a with the following steps: (1) define, (2) design, (3) develop, and (4) disseminate. The product trials were carried out on 45 students of State Elementary School (SDN) 1 Clering, SDN 3 Clering, and SDN 2 Jugo. The data collection instruments used include: (1) observation guide for the teaching model, (2) value scale, (3) interview guide, and (4) paired sample T-test. The data analysis technique used is quantitative descriptive analysis and qualitative analysis. Results: The result of the study is in the form of a traditional sports-based physical education teaching model in the form of a guidebook for teaching the students. The teaching model consists of five game posts, namely: (1) letter S game, (2) letter A game, (3) letter N game, (4) letter T game, and (5) letter O game. It is packaged in the form of a series of game activities. Conclusion: At the end of the study, it can be concluded that the developed teaching model is very attractive, according to the characteristics of lower grade students, can be used as a way of teaching physical education, and is very effective for improving character and critical thinking.
Databáze: OpenAIRE
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