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Application and Research of Computer Big Data Based on Structure in Internet Learning

Published: 22 November 2021 Publication History

Abstract

With the advent of the era of big data, many teachers began to adopt online learning teaching methods, and many enterprises and schools also developed a variety of learning systems, examination systems and live broadcast systems, which broke away from the traditional teaching mode and established a brand-new learning system. The application of big data in the education industry is very prominent. Adding Internet thinking in the education process can enable students to learn relevant knowledge online after class, consolidate knowledge and exercise students' self-learning ability. As the core component of the computer application field, online teaching has outstanding advantages. Learners can talk with famous teachers anytime and anywhere, work out their own learning plans, and eliminate knowledge blind spots. This paper mainly discusses the application of computer big data in Internet learning, and analyzes the application process of computer big data in Internet learning based on the structure level, aiming at using Internet technology to achieve efficient learning.

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ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 22 November 2021

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