Evaluation by Questionnaire on Grouped Flipped Classroom Method

Umezawa, Katsuyuki; Ishida, Toru; Nakazawa, Makoto; Hirasawa, Shigeichi

doi:10.1109/iceed.2018.8626988

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…So, this learning model has been more effective in the grouped inverted classroom than the conventional inverted classroom, in which the teacher sends material and self-learning performance tests at home and at school in the same way performance tests and technological resources and finally, a final evaluation. The teacher who guides with these results should be made support material for each group and start safe feedback [22].…”

Section: Related Workmentioning

confidence: 99%

Educational Innovation in the Evaluation Processes within the Flipped and Blended Learning Models

Yangari

Inga

2021

Education Sciences

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Nowadays, several institutions and universities have employed Flipped and Blended Learning models in the educational context. Consequently, these models advance correctly in the classrooms; students become more able to build their knowledge and develop their skills with technological innovation that could be compared with studies based on technological achievements and accessible data Tics. Therefore, this article proposes educational innovation in the evaluation processes within the FL and BL learning models to ensure active and interactive education. In this work, a bibliometric analysis of 2000 scientific articles from the Web of Science and Scopus databases has been carried out, thus making it possible to identify countries and universities with constant and relevant use of these learning models, as well as a comparison with these databases of articles, citations and their global impact. On the other hand, a survey was conducted with 41 teachers of different subjects and 385 students from elementary school to high school using the Likert scale. The questions were represented in perception values with their respective analysis of results and evaluations about these learning models, technological resources, flexible curriculum, learning before class, autonomous learning, and future professional competencies, which will help us know the existing motivation between them.

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Section: Related Workmentioning

confidence: 99%

Educational Innovation in the Evaluation Processes within the Flipped and Blended Learning Models

Yangari

Inga

2021

Education Sciences

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“…Among them, shooting, martial arts, 100 meters, and high jump need intelligent algorithms to achieve intelligent management and analysis. At the same time, some scholars have studied the integration of deep learning method and flipped classroom horizon theory, and found that the flipped classroom horizon theory can reduce the complex design requirements and improve the reliability of physical education teaching design Umezawa et al [ 6 ]. Based on this, this paper puts forward an improved deep learning method based on the integration of deep learning and flipping classroom horizon theory, designs physical education under complex conditions, and verifies the effectiveness of the design.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Algorithm for Online College Physical Education Teaching with Flipping Classroom

Chen

2022

Computational Intelligence and Neuroscience

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In view of the inability to accurately analyze the application of deep learning in college physical education teaching design from the perspective of flipping classroom, this paper puts forward an improved deep learning method based on the integration of flipping classroom vision and deep learning, which can reduce the design ability of physical education teaching design in college physical education teaching design and improve the level of college physical education teaching design. Firstly, the initial data set is established by using the theory of flipping classroom horizon, so that the data meet the requirements of normal distribution and reduce the differences between teaching data; Then, the physical education teaching design is divided into different subdesigns by using the theory of flipping classroom horizon. Find the best design result in this domain in each subinstructional design; Finally, under the guidance of the theory of flipping classroom horizon, each subdesign realizes the optimal allocation of teaching resources. MATLAB simulation shows that under the conditions of initial design scheme and teaching resources setting, the improved deep learning method can improve the accuracy of physical education teaching design and shorten the convergence time of design, which is superior to the original deep learning method. Therefore, the deep learning method is used to analyze the instructional design of college physical education, which has a good design effect and is suitable for the instructional design of college physical education.

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Application of Grouped Flipped Classroom to Two-Year Actual Class and Its Statistical Evaluation

Umezawa

Ishida

Nakazawa

et al. 2019

2019 14th International Conference on Computer Science &Amp; Education (ICCSE)

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Evaluation by Questionnaire on Grouped Flipped Classroom Method

Cited by 5 publications

References 4 publications

Educational Innovation in the Evaluation Processes within the Flipped and Blended Learning Models

Educational Innovation in the Evaluation Processes within the Flipped and Blended Learning Models

Deep Learning Algorithm for Online College Physical Education Teaching with Flipping Classroom

Application of Grouped Flipped Classroom to Two-Year Actual Class and Its Statistical Evaluation

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