Abstract
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in many sectors for diverse reasons. Big data in higher education, however, still lacks a complete examination. Thus, the purposes of the research were (1) to design the system architecture of big data in higher education for student behavior analytics and (2) to evaluate the system architecture of big data in higher education for student behavior analytics. The research procedure was divided into two phases. The first phase is designing a system architecture for big data in higher education for student behavior analytics, and the second phase is the architecture evaluation by experts. Purposive sampling was used to select ten experts in big data and student behavior analytics. Data collection tools were the system and the assessment of an appropriate model with a five-level rating scale. The statistics used in the data analysis were means and standard deviation. The results showed that the system architecture of big data in higher education for student behavior analytics consists of four elements: a) Big Data Sources for Behavioral Analytics; b) Big Data Sources for Behavioral Analytics Sub-Domains; c) Big data capture and storage for behavioral analytics; and d) big data behavioral analysis. The experts' opinions on the system architecture were at the most appropriate level.
Highlights
The world is evolving at a breakneck pace as new technologies emerge (Chae, 2019)
The results showed that the system architecture of big data in higher education for student behavior analytics consists of four elements: a) Big Data Sources for Behavioral Analytics; b) Big Data Sources for Behavioral Analytics Sub-Domains; c) Big data capture and storage for behavioral analytics; and d) big data behavioral analysis
The assessment result of the suitability of the composition of the Big Data-HE-SBA System Architecture from 10 experts reveals that the most level
Summary
The world is evolving at a breakneck pace as new technologies emerge (Chae, 2019). Individuals nowadays employ a great number of electronic equipment (Shorfuzzaman, Hossain, Nazir, Muhammad, & Alamri, 2019). Due to different sources of data and knowledge generated by analyzing human activities or information leaks by people, Big Data allows for „things one can do at a wide scale that cannot be achieved at a smaller scale, to extract new ideas or produce new types of value' (Mayer-Schönberger & Cukier, 2014). This has proved effective in a variety of contexts and higher education uses analytical research techniques to gather information on student behaviors, processes of learning, and institutional practices. We propose a Big Data in Higher Education for Student Behavior Analytics System Architecture (Big Data-HE-SBA System Architecture) that strikes a compromise between student and institutional needs in higher education
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