Yıl 2020, Cilt 6 , Sayı 18, Sayfalar 300 - 305 2021-01-10

AN EXPLORATION OF CDIO-BASED BIG DATA ANALYTICS AND APPLICATIONS COURSE FOR CHEMISTRY STUDENTS

Dazhou Lİ [1] , Wei GAO [2]


Ability to solve realistic problems in chemical big data, the CDIO model inherits and develops the concept of the significant reform of engineering education in Europe and the United States for more than 20 years, and nearly 40 universities in China have become the demonstration university of China's CDIO engineering education model. China CDIO Engineering Education Model has officially accredited Shenyang University of Chemical Technology's Computer Science Technology College in 2020. This article is a review of Shenyang University of Chemical Technology's Computer Science Technology College in the process of China's CDIO Engineering Education Model Certification. Universal experience with CDIO engineering education has shown that CDIO standards not only contribute to enhancing the quality of education but also provide an opportunity to improve the quality of engineering education. A good foundation is laid for the systematic development of education. To this end, we introduced the CDIO engineering education model into the Shenyang University of Chemical Technology's big data analytics and applications, and in the design of pragmatic course teaching. We apply the CDIO concept to the human workforce training program, course system construction for chemistry majors, and faculty of Computer Science Technology majors. A series of investigations and practices have been carried out. To address the problem of offering big data analytics and applications courses for chemistry students, we introduce the CDIO engineering education model into the content, teaching methods, and teacher preparation are all aspects of this project. We have given a "problem-oriented" for both theoretical teaching and practical teaching, considering the learning situation of chemistry students. Based learning with an inspiring interactive theoretical teaching method, "result-oriented" practical teaching mode, and project design-oriented, students learn professional knowledge and engineering thinking through practical engineering projects and improve their engineering awareness and practical skills. Finally, through the combination of theory and practice, chemistry majors can understand the theories and methods of big data analysis and applications, as well as the principles and methods of big data analysis and processing. Keywords: CDIO, engineering education, big data analytics and applications, chemistry majors, talent training mode
CDIO, engineering education, big data analytics and applications,, chemistry majors, talent training mode
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Birincil Dil en
Konular Eğitim, Eğitim Araştırmaları
Bölüm Makaleler
Yazarlar

Yazar: Dazhou Lİ
Kurum: Shenyang University of Chemical Technology
Ülke: China


Yazar: Wei GAO (Sorumlu Yazar)
Kurum: Shenyang University of Chemical Technology
Ülke: China


Tarihler

Yayımlanma Tarihi : 10 Ocak 2021

EndNote %0 International E-Journal of Advances in Education AN EXPLORATION OF CDIO-BASED BIG DATA ANALYTICS AND APPLICATIONS COURSE FOR CHEMISTRY STUDENTS %A Dazhou Li̇ , Wei Gao %T AN EXPLORATION OF CDIO-BASED BIG DATA ANALYTICS AND APPLICATIONS COURSE FOR CHEMISTRY STUDENTS %D 2021 %J IJAEDU- International E-Journal of Advances in Education %P 2411-1821-2411-1821 %V 6 %N 18 %R doi: 10.18768/ijaedu.819010 %U 10.18768/ijaedu.819010