Big Data Emerging Technology for Instruction: Insights into Learning Material Support

Huda, Miftachul and Asrori, Asrori and Husniyah, Nur Iftitahul and Stiawan, Thoat and Panjalu, Gandhung Fajar and Wahid Nur Tualeka, Muhammad and Tsalitsah, Imtihanatul Ma’isyatuts and Munawir, Munawir Big Data Emerging Technology for Instruction: Insights into Learning Material Support. Proceedings of 8th Computational Methods in Systems and Software 2024, 1491. pp. 322-331. ISSN E-ISSN : 2367-3370, E-ISBN

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Abstract

Utilizing big data analytics framework requires collecting vast amounts
of data from social media platforms integrated into the network. This procedure is
meant to provide valuable insights on ways to improve the extraction of interaction
and communication within a track record framework. This article aims to develop
a structural model for the emerging big data technology to enhance innovative
learning skills. By incorporating both structured and unstructured data into the
data analytics process, there is a potential to gain valuable insights and create
patterns from social media data sources while also addressing the challenges of
velocity and variety. This emphasizes the importance of data complexity and the
use of big data methods to extract meaningful information. It was discovered that
big data, a developing technology combined with analytics, offers advantages in
enhancing innovative learning skills by changing the way information is presented
in learning materials. This research aims to improve the prototype and model of
creative learning skills by emphasizing environmental awareness in educational
resources.

Item Type: Article
Uncontrolled Keywords: Big data emerging technology · Instruction · Learning material support
Subjects: M Music and Books on Music > M Music
Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Jurnal > Fakultas Agama Islam
Depositing User: MUHAMMAD WAHID NUR TUALEKA
Date Deposited: 12 May 2026 02:57
Last Modified: 12 May 2026 02:57
URI: https://repository.um-surabaya.ac.id/id/eprint/12166

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