Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Invotec  /  Vol: 7 Núm: 2 Par: 0 (2011)  /  Artículo
ARTÍCULO
TITULO

PEMBELAJARAN KOOPERATIF TEAM GAMES TOURNAMENT DAN LEARNING CYCLE PADA MATA PELAJARAN ELEKTRONIKA

Ganti Depari10.17509/invotec.v7i2.6291     
     
     
Abstract views: 182     
     
     
     
     
     
PDF downloads: 143    

Resumen

This study discusses the comparison of the effectiveness of Team games tournament cooperative learning model and learning cycle model on students? achievement. Both of these methods emphasize a situation where students work in small groups and help each other to learn the course material. Students become the center of the learning activity (student-centered). This study uses quasi-experiment method, with subjects consisting of two classes, i.e. class X TAV 3 and X TAV 4. The results show that there is a difference in average academic achievement between learning cycle model (0,58) and team games tournament (0,73). tobt = 3,69, thus tobt = 3,69 > ttable(0.95)(58) = 1,676. It is concluded that a learning activity with TGT cooperative learning model is better than a learning activity with learning cycle model in improving students? achievement.

 Artículos similares

       
 
Qishun Mei and Xuhui Li    
To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which f... ver más
Revista: Information

 
Fariha Imam, Petr Musilek and Marek Z. Reformat    
Due to aging infrastructure, technical issues, increased demand, and environmental developments, the reliability of power systems is of paramount importance. Utility companies aim to provide uninterrupted and efficient power supply to their customers. To... ver más
Revista: Information

 
Peranut Nimitsurachat and Peter Washington    
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver más
Revista: AI

 
Jiaming Li, Ning Xie and Tingting Zhao    
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ... ver más
Revista: Algorithms

 
Chih-Yung Chen, Shang-Feng Lin, Yuan-Wei Tseng, Zhe-Wei Dong and Cheng-Han Cai    
Remote coffee grinder burr wear level assessment system.
Revista: Applied Sciences