Computer Science and Education. Educational Digitalization [electronic resource] : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1–7, 2023, Proceedings, Part III /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 2025Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVI, 375 p. 146 illus., 116 illus. in color. online resourceContent type:

text

Media type:

computer

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online resource

ISBN:

9789819707379

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.3 23

LOC classification:

QA76.76.A65

Online resources:

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Contents:

Policies and theories of educational digitalization -- new digital technology's application -- frontiers in educational digitalization. .

In: Springer Nature eBookSummary: T his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.

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Policies and theories of educational digitalization -- new digital technology's application -- frontiers in educational digitalization. .

T his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.

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