Abstract

Big data technology plays an important role in optimizing the education intelligence by enhancing the learning experience through novel assessment strategies and predictive teaching. This work aims at improving the learning efficiency of users and increase the effective learning quality of the smart classroom concept using the big data technology. A regional network education information collection platform based on big data technology has been developed, which can collect student learning data for subsequent analysis and processing. The software architecture of this platform is mainly divided into basic layer, platform layer and access layer. The physical structure mainly includes web servers and Hadoop clusters. The big data acquisition platform of this education has excellent acquisition performance, and the data acquisition of different data item field length is larger than the expected index. The outcomes obtained reveals that the data item field is less than 20 and the acquisition amount is 145% of the expected result. When the data item field is between 20 and 40, the acquisition amount is 137% of the expected result. The collection is 116% of the expected result, when the data item field is between 40 and 50. When the data item field is between 50 and 60, the collection is 103% of the expected result. The comparison of the regular teaching method with the smart classroom based concept revealed that the big data platform is 87% better than the normal regular teaching methods in terms of study material as well as meaningful teacher-student interaction. The research on education big data can provide better education services for educational activities, drive the reform of teaching mode and optimize the teaching methods of education enabling the smart classroom concept.

Highlights

  • With the increasing popularity of the concept of big data, big data has gradually evolved into a social culture, that is, a culture where everyone produces data, everyone manages data, everyone shares data, and everyone loves data [1]

  • This work contributes in providing a regional network education information collection platform based on big data technology to collect student learning data for subsequent analysis and processing

  • This article has developed a regional network education information collection platform based on big data technology

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Summary

Introduction

With the increasing popularity of the concept of big data, big data has gradually evolved into a social culture, that is, a culture where everyone produces data, everyone manages data, everyone shares data, and everyone loves data [1]. Various methods involved in big data analytics application for education are data mining, web dashboard and data analytics, etc These technologies enable the data collection and interpretation using the evidence based learning concept for automated instruction assessment [18]. They facilitate in the better insight of big data technology for increasing the productivity and profitability of the smart education system. This work contributes in providing a regional network education information collection platform based on big data technology to collect student learning data for subsequent analysis and processing. The physical layer of the platform comprises of web servers and Hadoop clusters This big data acquisition platform for education enabling smart classrooms provides exceptional acquisition performance. The rest of this article is arranged as: section 2 provides the literature review of the current state of the art techniques in the smart classroom domain of big data

Literature review
Platform software architecture design
Platform physical architecture design
Platform function realization
Results and analysis of platform function tests
Findings
Conclusions
Full Text
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