Research on the Application of Intelligence Teaching Mode of Superstar Platform in the Teaching of Experimental Design and Data Processing
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Keywords

Experimental design and data processing
Superstar platform
Flip the classroom
Wisdom lesson
Teaching method

DOI

10.26689/jcer.v5i8.2461

Submitted : 2021-07-31
Accepted : 2021-08-15
Published : 2021-08-30

Abstract

Experimental Design and Data Processing is an important core professional basic course for food science majors. This course is theoretical and practical, and there are many formulas, abstract contents and difficult to understand, and there are some problems in the teaching process, such as students' poor interest in learning, insufficient mastery of what they have learned, and inability to combine theory with practice organically. Through analyzing the existing problems, this paper puts forward some reform measures for the teaching mode of experimental design and data processing by using the intelligent teaching of Superstar platform.

References

Moretti K, Aluisio A, Chen J, et al., 2020, 43 Knowledge and Confidence in the Treatment of Emergent Conditions among Graduating Medical Students Across Colombia. Annals of Emergency Medicine, 76 (4S).

Bazan D, Nowicki M, Rzymski P, 2021, Medical Students as the Volunteer Workforce during the COVID-19 Pandemic: Polish Experience. International Journal of Disaster Risk Reduction, 55.

Likhitsathian S, et al., 2021, Cross National Comparison of Medical Students’ Attitudes and Beliefs about Medical Cannabis and its Application for Pain Management. Complementary Therapies in Medicine, 59 (prepublish).

Fulton K, 2012, Upside Down and Inside Out: Flip Your Classroom to Improve Student Learning. Learning & Leading with Technology. 39(8): 12-7.

Mattis K, 2015, Flipped Classroom Versus Traditional Textbook Instruction: Assessing Accuracy and Mental Effort Different Levels of Mathematical Complexity. Technology Knowledge and Learning. 20(2): 231-48.

Dederichs M, Weber J, et al., 2021, Exploring Medical Students’ Views On Digital Mental Health Interventions: A Qualitative Study. Internet Interventions, 2021 (prepublish).