scholarly journals On the Construction of Online Teaching Platform for Air Stewardess Major in Higher Vocational Colleges Based on the Concept of Flipped Classroom

Author(s):  
Ruihong Chi
Author(s):  
Tiejun Zhu

Design major students of Chinese universities and colleges exists a common learning concept on emphasizing the practice but contempt of theory. Students' interest in learning theoretical courses, especially design history courses is more diluted. In order to explorative change such phenomenon, researchers conducted a "History of Modern Design" course teaching of Sino-foreign cooperative education program as a pilot reform, drawing the current international hot network teaching resources and methods, innovatively constructing multivariate course online teaching platform, and combined with the flipped classroom teaching model which was vigorously advocated by the Chinese educational department. Empirical research and practice results show virtual course and online teaching and learning space. Application of flipped classroom teaching mode changed boring theory taught into exciting interactive teaching and learning. It not only trained independence of students' thinking, learning autonomy and the ability to explore knowledge, it also highly pushed students to innovatively apply design history theory. The course innovative reform achieved significant results. It was proved that can widely spread and apply in design history courses teaching of art and design majors of Chinese universities and colleges in the future.


Author(s):  
Erika M. Monasch ◽  
Paula M. Wadell ◽  
Sara Baumann ◽  
Melissa Hopkins ◽  
Melody Y. Hou

Author(s):  
Elena Andrade ◽  
Gloria Seoane ◽  
Luis Velay ◽  
Jose-Manuel Sabucedo

We conducted three independent studies to support the Spanish version of the Environmental Attitudes Inventory (EAI). The first study consisted of translating and pre-testing on a sample of 125 college students. The second consisted of testing the EAI on a sample of 225 university students in several undergraduate courses. Student data were collected using two different methods, through an online teaching platform and in the classroom. The findings were symmetrical in terms of precision and dimensionality. The third study completed the aforementioned ones testing the items on a representative sample from the general population in Spain. The participants were 630 citizens from 17 regions and responded to the EAI using an online platform. The results of the factor analysis led us to propose a measurement model, with 18 items and six first-order factors: environmental movement activism, conservation motivated by anthropocentric concern, confidence in science and technology, personal conservation behaviour, human dominance over nature, and support for population growth policies. External validity evidence was assessed by the correlation with the following variables: neuroticism, ecological behaviour, limits to economic growth, economic liberalism, sustainability, altruism, and social desirability. These estimations stayed away from demographic and personal aspects such as age, sex, political ideology, and region.


2020 ◽  
pp. 1-13
Author(s):  
Yang Mei

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.


Author(s):  
Victor K. Lai

Abstract As the COVID-19 pandemic forced a sudden shift to online teaching and learning in April 2020, one of the more significant challenges faced by instructors is encouraging and maintaining student engagement in their online classes. This paper describes my experience of flipping an online classroom for a core Chemical Engineering Fluid Mechanics class to promote student engagement and collaboration in an online setting. Comparing exam scores with prior semesters involving in-person, traditional lecture-style classes suggests students need a certain degree of adjustment to adapt to this new learning mode. A decrease in Student Rating of Teaching (SRT) scores indicates that students largely prefer in-person, traditional lectures over an online flipped class, even though written comments in the SRT contained several responses favorable to flipping the class in an online setting. Overall, SRT scores on a department level also showed a similar decrease, which suggests students were less satisfied with the quality of teaching overall throughout the department, with this flipped method of instruction neither improving nor worsening student sentiment towards online learning. In addition, whereas most students liked the pre-recorded lecture videos, they were less enthusiastic about using breakout rooms to encourage student collaboration and discussion. Further thought and discussion on best practices to facilitate online student interaction and collaboration are recommended, as online learning will likely continue to grow in popularity even when in-person instruction resumes after the pandemic.


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