Review of Bower, Coyle, Cross &amp; Chambers (2020):  Curriculum Integrated Language Teaching: CLIL practice

Coonan, Carmel Mary

doi:10.1075/jicb.21027.coo

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These 17 courses are: computer organization principle (X1), computer circuit foundation (X2), data structure (X3), computer network (X4), discrete mathematics (X5), microcomputer interface technology (X6), operating system (X7), C++ object-oriented programming (X8), database principle and technology (X9). algorithm design and analysis (X10), JSP/ASP WEB technology (X11), JAVA language programming (X12), hardware curriculum design (X13), computer information security (X14), software engineering (X15), programming language curriculum design (X16), C programming foundation (X17) [4][5][6].…”

Section: Comprehensive Evaluation Of Students' Performance Based On F...mentioning

confidence: 99%

Analysis of Higher Education Teaching Data Based on Data Mining Technology

2023

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

In order to effectively mine and utilize the large amount of valuable data stored in the academic management system of universities, a data mining technology based method for analyzing higher education teaching data has been proposed. This article uses data mining technology to deeply mine and analyze the grade data in the school's academic affairs system. Firstly, the data in the academic affairs system is collected and preprocessed, and then factor analysis is used to comprehensively evaluate student grades. Then, the decision tree improvement method of K-means clustering algorithm and C5.0 algorithm is used to predict the target grades. Finally, the above method is compared and analyzed with other methods. The results show that the estimation accuracy of the improved decision tree method is the highest 64.8%, and the generated decision tree has the smallest depth and the smallest number of leaf nodes. This indicates that the decision Tree model generated by it is more accurate and robust than the other two methods, and can try to avoid over fitting.

show abstract

Section: Comprehensive Evaluation Of Students' Performance Based On F...mentioning

confidence: 99%

Analysis of Higher Education Teaching Data Based on Data Mining Technology

2023

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

show abstract

Review of Bower, Coyle, Cross & Chambers (2020): Curriculum Integrated Language Teaching: CLIL practice

Cited by 1 publication

References 0 publications

Analysis of Higher Education Teaching Data Based on Data Mining Technology

Analysis of Higher Education Teaching Data Based on Data Mining Technology

Contact Info

Product

Resources

About