Volume 11, Issue 1 (Winter 2023)
Abstract
Aims: This study aimed to investigate the effect of the project-based learning model, age, and motor educability on the enhancement of fundamental motor skills in young children.
Materials & Methods: This experimental study with pre-test and post-test design was carried out on students between the ages of 8 and 9, during February and June of 2022, in Semarang, Central Java, Indonesia. Students participated in a 30-week Fundamental Movement Skills program that included one session (about 60 minutes) per week and was presented in community settings by a certified local instructor. The motor skills of students were tested before and after the intervention, and collected data were analyzed using Generalized Linear Model hypothesis testing.
Findings: There were significant differences between the effects of the Project-based Learning Model for games with tools and games without tools (p=0.0001), as well as for high motor educability and low motor educability levels (p=0.031), on the enhancement of fundamental motor skills in post-test. Additionally, there was an interaction between the Project-based Learning Model and the motor educability level on the rise of fundamental motor skills in the post-test, which means that the two factors had an impact on each other's effects on the fundamental motor skills.
Conclusion: Fundamental motor skills are more influenced by games using the Project-based Learning Model paradigm than by games without tools, especially if children have high motor educability.
Volume 14, Issue 5 (November & December 2023 (Articles in English & French) 2023)
Abstract
Since 2010, deep learning has been further developed, and the concept of multi-modality has penetrated into all walks of life. However, it has not been fully researched and applied in college English teaching, so this study modeled and practiced the multimodal teaching method of college English under the deep learning mode and its application. The definitions of modality and medium are first introduced, and then the definition of multimodality in this study is clarified. Then the classification of multimodal transport is expounded. The random forest algorithm is chosen as the main algorithm of this research, and a dynamic multimodal model is established. After that, there was a collaboration with a university and sophomore students were selected for practice. After processing and analyzing the collected data, it was found that in the data sample of 268 students, the number of students who did not study independently accounted for 24%, which indicates that most college students lack interest in learning English. Preliminary tests were also conducted on students' English proficiency throughout the year, and the results showed that the students' English proficiency was at a pass level and the overall English proficiency was weak. Reassessment of students' English proficiency showed that the actual teaching effect of each English proficiency was greater than 85%, and the effectiveness of English teaching in the selected universities was significantly improved. The average score improved by 8 points, indicating that multimodal teaching is scientifically effective
After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages.
After a semester of multimodal teaching, the English teaching effectiveness of the university selected in this article has significantly improved. The research results indicate that the development of deep computer learning has introduced multimodal concepts into the teaching field, which is very suitable for assisting language learning based on its own advantages.
